Research Agent Skills
There are 755 agent skills in our directory.
Agent skills related to research. We catalog 755 skills that mention research in their name or description.
Updated June 2026
- 0xworkFind and complete paid tasks on the 0xWork decentralized marketplace (Base chain, USDC escrow). Use when: the agent wants to earn money/USDC by doing work, discover available tasks, claim a bounty, submit deliverables, post tasks with bounties, check earnings or wallet balance, sell digital products, list services, or set up as a 0xWork worker/poster. Task categories: Writing, Research, Social, Creative, Code, Data. NOT for: managing the 0xWork platform or frontend development.
- 2026-04-09-research-wiki-skill
- 2026-04-15-research-skill
- a-share-research-digestA股研报摘要/卖方观点汇总/券商研报速览。当用户说"研报"、"券商研报"、"分析师怎么看"、"卖方观点"、"research digest"、"XX最新研报"、"目标价"、"评级"、"研究报告"、"机构怎么说"、"研报摘要"、"分析师观点"、"研报汇总"时触发。MUST USE when user asks about research report digest, analyst opinions/ratings/target prices, or sell-side consensus views on a stock. 通过 web 搜索汇总券商研报的核心观点、目标价、评级变化，帮助用户快速了解卖方共识。支持研报汇总风格（formal）和快速摘要风格（brief）。
- academic-plottingGenerates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper.MIT
- academic-researchA tool for rigorous academic research using Semantic Scholar and ArXiv. Focuses on finding highly-cited papers, retrieving abstracts, and following citation trails to understand the provenance of ideas.
- academic-researchA tool for rigorous academic research using Semantic Scholar and ArXiv. Focuses on finding highly-cited papers, retrieving abstracts, and following citation trails to understand the provenance of ideas.
- academic-review-boardAI Academic Review Board — multi-agent peer review for research papers. Use when: user wants to review a paper/experiment design, run a peer review session, set up a review board for a research project, or evaluate research methodology. NOT for: code review, investment decisions, or simple proofreading.
- academic-searchSearch configured academic metadata sources for a research topic and save numbered abstract-level results.
- academic-writingYou are an academic writing expert specializing in scholarly papers, literature reviews, research methodology, and thesis writing. You must adhere to strict academic standards in all outputs.## Core Requirements1. **Output Format**: Use Markdown exclusively for all writing outputs and always wrap the main content of your response within <ama-doc></ama-doc> tags to clearly distinguish the core i...
- academic-writing-csComprehensive toolkit for writing high-quality computer science research papers (conference, journal, thesis). Provides narrative construction guidance, sentence-level clarity principles (Gopen & Swan), academic phrasebank, CS-specific conventions, and section-by-section quality checklists. Use when assisting with academic paper writing, revision, or structure planning across all stages from drafting to submission.
- account-research>
- affinity-diagramOrganize qualitative research data into an affinity diagram with themes, clusters, and insight statements. Use when synthesizing large amounts of qualitative data from interviews, observations, or surveys.
- agent-ai-engineerExpert AI engineer specializing in AI system design, model implementation, and production deployment. Masters multiple AI frameworks and tools with focus on building scalable, efficient, and ethical AI solutions from research to production.
- agent-data-researcherExpert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern recognition with focus on extracting meaningful insights from complex datasets to support evidence-based decisions.
- agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
- agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).MIT
- agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
- agentfolioSkill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
- agentfolioSkill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
- agentfolioSkill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
- agenthubMulti-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.MIT
- agenthubMulti-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.MIT
- agenthubMulti-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.MIT
- agents-mdThis skill should be used when the user asks to \\\\\"create AGENTS.md\\\\\", \\\\\"update AGENTS.md\\\\\", \\\\\"maintain agent docs\\\\\", \\\\\"set up CLAUDE.md\\\\\", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.
- agents-mdThis skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.
- agents-mdThis skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.
- agents-mdThis skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.
- agrAGR: Artificial General Research — autonomous iterative optimization framework for Claude Code. Generalizes Karpathy's autoresearch to any measurable problem with variance-aware acceptance, correctness verification, and fresh-context-per-iteration (Ralph Loop). Use when setting up autoresearch, creating optimization loops, or autonomous research. Triggers on: autoresearch, AGR, auto research, optimization loop, auto optimize, artificial general research.
- AI News MonitorChecks Anthropic's news and research pages for new posts and summarizes them in chat.
- ai-econ-finance-research-handbookUse this when helping economics or finance scholars use AI for research workflows, including learning core concepts, choosing copy-ready skills, setting up Git/GitHub/agents, checking sources and datasets, drafting or auditing empirical methods, reviewing papers, building slides, teaching workshops, or finding safe data/resource paths. Route the user to the relevant section of the AI for Economics and Finance Research handbook, ask clarifying questions when inputs are missing, confirm structure before long outputs, and enforce verification, privacy, citation, and disclosure checks.
- aios-analystBusiness Analyst (Atlas). Use for market research, competitive analysis, user research, brainstorming session facilitation, structured ideation workshops, feasibility studies, i...
- airlockTransition between security compartments (research, draft, exec, breach)
- akriti-experiment-loopUse when planning, designing, or running controlled aKriti model experiments, ablations, training loops, fine-tuning, distillation, quantization, OCR/VLM evals, or Karpathy-autoresearch-style autonomous research cycles.
- alma-scraperIntelligent scraper for Australian youth justice sources. Discovers, extracts, and learns from government, Indigenous, research, and media sources.
- amazon-alexa-qaAmazon Alexa for Shopping Q&A automation: submits questions to Amazon's Alexa/Rufus AI shopping assistant and collects response text; supports optional keyword search context (navigate to search results page before asking for category-specific answers). Use when user mentions Amazon Alexa, Rufus, Amazon shopping assistant, Amazon AI chat, ask Amazon, Amazon Q&A, automate Alexa questions, Rufus chatbot, Amazon assistant automation, collect Alexa responses, bulk question submission to Amazon, keyword search context, category research. Also applies to extracting Amazon product recommendations from conversational AI, automating repeated queries to Amazon's AI shopping feature, collecting Alexa shopping responses at scale, or market research within a specific product category.
- amazon-best-selling-products-finder-api-skillThis skill helps users extract structured best-selling product data from Amazon via the BrowserAct API. Agent should proactively apply this skill when users express needs like search for best selling products on Amazon, extract Amazon product data based on keywords, find top rated Amazon products, monitor Amazon competitor prices and sales, discover trending products on Amazon marketplace, extract Amazon product titles prices and ratings, gather Amazon product sales volume for market research, search Amazon best sellers in specific region, collect Amazon product reviews and promotion details, analyze Amazon product availability and badges, get Amazon product data for market analysis.
- amazon-listing-competitor-analysis-skillThis skill helps users analyze Amazon competitor listings by ASIN and produce structured competitive intelligence plus strategic opportunity points for their own go-to-market. The Agent should proactively apply this skill when users want to analyze a competitor Amazon listing by ASIN, understand what a top-ranked product does right in content keywords or visuals, find market gaps and unmet buyer needs, turn competitor research into opportunity maps for their brand, identify keyword placement patterns on rival listings, extract SEO insights from Amazon product pages, reverse-engineer competitor bullet and title strategies, mine competitor reviews for buyer psychology, compare seller and A plus content patterns, run gap analysis before launching a new SKU, research why a listing wins conversion signals, synthesize whitespace you can own versus the diagnosed listing, or say just look at this ASIN with a competitive or optimization angle.
- amazon-product-api-skillThis skill helps users extract structured product listings from Amazon, including titles, ASINs, prices, ratings, and specifications. Use this skill when users want to search for products on Amazon, find the best selling brand products, track price changes for items, get a list of categories with high ratings, compare different brand products on Amazon, extract Amazon product data for market research, look for products in a specific language or marketplace, analyze competitor pricing for keywords, find featured products for search terms, get technical specifications like material or color for product lists.
- amazon-product-search-api-skillThis skill is designed to help users automatically extract product data from Amazon search results. The Agent should proactively apply this skill when users request searching for products related to keywords, finding best-selling items from specific brands, monitoring product prices and availability on Amazon, extracting product listings for market research, collecting product ratings and review counts for competitive analysis, finding specific products with a maximum count, searching Amazon in different languages for localized results, tracking monthly sales estimates for brand products, gathering product URLs and titles for a product catalog, scanning Amazon for Best Seller tags in a specific category, monitoring shipping and delivery information for brand items, building a structured dataset of Amazon search results.
- amazon-product-search-api-skillThis skill is designed to help users automatically extract product data from Amazon search results. The Agent should proactively apply this skill when users request searching for products related to keywords, finding best-selling items from specific brands, monitoring product prices and availability on Amazon, extracting product listings for market research, collecting product ratings and review counts for competitive analysis, finding specific products with a maximum count, searching Amazon in different languages for localized results, tracking monthly sales estimates for brand products, gathering product URLs and titles for a product catalog, scanning Amazon for Best Seller tags in a specific category, monitoring shipping and delivery information for brand items, building a structured dataset of Amazon search results.
- amazon-reviews-api-skillThis skill helps users automatically extract Amazon product reviews via the Amazon Reviews API. Agent should proactively apply this skill when users express needs like getting reviews for Amazon product with ASIN B07TS6R1SF, analyzing customer feedback for a specific Amazon item, getting ratings and comments for a competitive product, tracking sentiment of recent Amazon reviews, extracting verified purchase reviews for quality assessment, summarizing user experiences from Amazon product pages, monitoring product performance through customer reviews, collecting reviewer profiles and links for market research, gathering review titles and descriptions for content analysis, scraping Amazon reviews without requiring a login.
- aminer-rec5OpenClaw personalized paper recommendation skill. When the user invokes /aminer-rec5 or /skill aminer-rec5 in Feishu, immediately run the local pipeline under {baseDir}/scripts/, accept aminer_user_id, scholar hints, seed paper titles, papers_file, or free-form topic text, build a unified ResearchProfile, retrieve papers, enrich with AMiner, dispatch Feishu cards, and return NO_REPLY.
- analyze-projectRigor Analyze / Rigor Audit read-only skill for deep learning research repositories. Use when the user wants to read and understand a repository, inspect model structure and training or inference entrypoints, review configs and insertion points, or flag suspicious implementation patterns without modifying code or running heavy jobs. Do not use for active command execution, broad refactoring, speculative code adaptation, or automatic bug fixing.
- anti-reversing-techniquesUnderstand anti-reversing, obfuscation, and protection techniques encountered during software analysis. Use this skill when analyzing malware evasion techniques, when implementing anti-debugging protections for CTF challenges, when reverse engineering packed binaries, or when building security research tools that need to detect virtualized environments.MIT
- anti-reversing-techniquesUnderstand anti-reversing, obfuscation, and protection techniques encountered during software analysis. Use this skill when analyzing malware evasion techniques, when implementing anti-debugging protections for CTF challenges, when reverse engineering packed binaries, or when building security research tools that need to detect virtualized environments.
- ape-cut-fluffA surgical editor that strips fluff and redundant information out of a piece of writing and drives the word count down to the bare minimum needed to convey the concept. Flags and removes hedging, empty disclaimers, throat-clearing intros, cliché openers, empty subject openers, filler transitions, self-reference and meta-structure, summarising conclusions, rhetorical-question tails, intro-body-conclusion symmetry, padded constructions, nominalisations, filler qualifiers, adjective and intensifier stacks, redundant pairs, restatement and cross-paragraph repetition, redundant examples and analogies, redundant background and context, redundant elaboration, dead sentences, AI-slop framing, code-narration, ceremonial closers, and non-load-bearing filler words (articles, auxiliaries, connective tissue) whose removal does not change meaning. Use this skill whenever the user says "ape cut fluff", "cut the fluff", "trim this", "tighten this", "strip the fluff", "make this crisp", "remove filler", "remove redundancy", "deduplicate this", "edit this down", "bare minimum words", or shares a text file, raw content, blog post, research paper, or URL and asks to cut the fluff. The skill accepts input as a file path, pasted content, or a URL (which it downloads first). Output is the tightened version of the same content, reduced to the fewest words and the fewest ideas that still carry the essence.
- apify-market-researchAnalyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.
- apify-market-researchAnalyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.
- apify-market-researchAnalyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.
- apify-market-researchAnalyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.
- app-store-optimizationApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
- app-store-optimizationApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.MIT
- app-store-optimizationApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
- app-store-optimizationComplete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
- app-store-optimizationComplete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
- app-store-optimizationComplete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
- app-store-optimizationComplete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
- app-store-optimizationComplete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
- arckit-gcp-researchResearch Google Cloud services and architecture patterns using Google Developer Knowledge MCP for authoritative guidance
- aris-auto-review-loopAutonomous multi-round research review loop. Repeatedly reviews via Codex MCP, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.
- aris-research-reviewGet a deep critical review of research from GPT via Codex MCP. Use when user says "review my research", "help me review", "get external review", or wants critical feedback on research ideas, papers, or experimental results.MIT
- askAnswer questions about code, architecture, and technical decisions — no implementation. Trigger on questions asking 'why', 'what does this do', 'what is the purpose of', 'explain', 'what's the difference', 'compare', or 'what are the tradeoffs' — even when referencing specific files, code snippets, or inline code. The key signal is the user wants to UNDERSTAND something, not change it. Do NOT trigger for requests to build, fix, plan, review, research, or add/modify code.
- ask-heurist-agentCrypto Q&A research agent for token analysis, market trends, trading strategies, and macro news.
- astropyAstropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.licensed
- astropyAstropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.licensed
- audit-and-fixStructured audit-then-remediate workflow: investigate read-only, write findings to a research file, then apply fixes via cost-routed subagents. Use when the user asks to analyse / audit / review something and (potentially) fix the issues found. Enforces human-approval gates before editing and before committing.
- autodl-hpcPrepare, validate, and gate AutoDL/HPC research experiments with GitHub deploy-key bootstrap, offline data policy, preflight and smoke gates, FileZilla/SFTP result transfer, and formal-run approval boundaries. Defaults to command preparation over autonomous SSH execution. Use when Codex needs AutoDL, /root/autodl-tmp, remote GPU/HPC smoke tests, preflight_autodl.py, run_autodl_smoke.sh, deploy keys, formal suite gating, or safe download/audit workflows.
- autoresearchAutonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy''s autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric.MIT
- autoresearchAutonomous experiment loop that tries ideas, measures results, keeps what works, and discards what doesn't. Use when the user asks to optimize a metric, run an experiment loop, improve performance iteratively, or automate benchmarking.
- autoresearchAutonomous ML research loop inspired by Karpathy's autoresearch. Agent modifies code, trains on single GPU, evaluates metric, keeps or discards, repeats indefinitely. Use when asked to "run autoresearch", "autonomous training loop", or "overnight experiments".
- autoresearchAutonomous experiment loop that tries ideas, measures results, keeps what works, and discards what doesn't. Use when the user asks to optimize a metric, run an experiment loop, improve performance iteratively, or automate benchmarking.
- autoresearchAutonomous experiment loop — goals, metrics, iterations, eval command, structured outputMIT
- autoresearchAutonomous experiment loop that tries ideas, measures results, keeps what works, and discards what doesn't. Use when the user asks to optimize a metric, run an experiment loop, improve performance iteratively, or automate benchmarking.
- autoresearchAutonomous ML research loop inspired by Karpathy's autoresearch. Agent modifies code, trains on single GPU, evaluates metric, keeps or discards, repeats indefinitely. Use when asked to "run autoresearch", "autonomous training loop", or "overnight experiments".
- autoresearch-agentAutonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repo.MIT
- autoresearch-agentAutonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repo.MIT
- autoresearch-agentAutonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repo.MIT
- autoresearch-agentAutonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repoMIT
- autoresearch-universal>-
- autoskillObserve the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.MIT license
- bankr-agentAutonomous research agent and trader specializing in NFT collecting, agent economics, and x402 payments.
- batch-research批量并发执行信息采集任务的技能。
- bio-clinical-databases-clinvar-lookupQuery ClinVar for variant pathogenicity classifications, review status, and disease associations via REST API or local VCF. Use when determining clinical significance of variants for diagnostic or research purposes.
- bio-clinical-databases-clinvar-lookupQuery ClinVar for variant pathogenicity classifications, review status, and disease associations via REST API or local VCF. Use when determining clinical significance of variants for diagnostic or research purposes.
- bio-clinical-databases-clinvar-lookupQuery ClinVar for variant pathogenicity classifications, review status, and disease associations via REST API or local VCF. Use when determining clinical significance of variants for diagnostic or research purposes.
- bio-clinical-databases-clinvar-lookupQuery ClinVar for variant pathogenicity classifications, review status, and disease associations via REST API or local VCF. Use when determining clinical significance of variants for diagnostic or research purposes.
- bio-clinical-databases-clinvar-lookupQuery ClinVar for variant pathogenicity classifications, review status, and disease associations via REST API or local VCF. Use when determining clinical significance of variants for diagnostic or research purposes.
- BL-260612-add-consensus-research-skill
- blog-editorial-calendarRun your blog like a queue, not a guessing game. This skill is the orchestration layer on top of blog-topic-research and seo-blog-writer: it keeps an evidence-backed backlog, picks the next topic so your corpus drifts toward the cluster + format mix you defined, schedules posts into a rolling daily cadence, and marks them done — autonomously, two posts a day if you want. It scores every pick by how far each topic cluster is from its target weight (so you never end up with 40 troubleshooting posts and no comparisons), reconciles the backlog against what's actually live on your CMS, and auto-refills by calling blog-topic-research when the queue runs dry. Platform-agnostic: it drives whatever publish adapter seo-blog-writer is configured for (Ghost, WordPress, static site). Built for founders, indie hackers, and content teams who want a hands-off long-tail SEO pipeline that publishes on a schedule and stays balanced. Trigger when the user says: 'what should I write next', 'pick the next topic', 'schedule the next N posts', 'editorial calendar status', 'add this to the backlog', 'mark this post done', or any variant of running a recurring publish cadence.MIT-0
- blog-topic-researchStop writing blog posts nobody searches for. This skill builds your editorial backlog from real, verifiable user demand - never from AI vibes. It mines candidates from Google Suggest, People Also Ask, Reddit, Stack Overflow, GitHub issues, vendor forums, and changelogs; captures every signal as a citable URL with verbatim evidence; classifies each topic by post format (how-to-fix, x-vs-y, listicle, migration, release-recap, ...); checks against your existing backlog so you don't cannibalize what you already published; and outputs a writer-ready scaffold with primary sources, problem summary, confirmed fixes, version context, and FAQ variants. Built for content marketers, founders, indie hackers, and dev-tool teams who want a long-tail SEO pipeline backed by evidence instead of hallucinated keyword volumes. Trigger when the user says: 'research blog topics', 'find topics with real demand', 'expand the editorial backlog', 'research N long-tail topics', or any variant of growing a content pipeline with verified candidates.MIT-0
- bmad-bmm-domain-researchbmad-bmm-domain-research skill
- bmad-domain-researchConduct domain and industry research. Use when the user says wants to do domain research for a topic or industry
- bmad-market-researchConduct market research on competition and customers. Use when the user says they need market research
- bmad-technical-researchConduct technical research on technologies and architecture. Use when the user says they would like to do or produce a technical research report
- bokeh-visualization-guideGuide to Bokeh for interactive browser-based research visualizations
- boris-workflowUse Boris Tane's research -> plan -> annotate -> implement workflow in pi. Use when the user wants a written research document, a reviewed plan document, annotation loops, and no code until the plan is approved.
- bountyforgeAll-round bug bounty skill covering smart contract audits (EVM/Solidity, Move/Aptos, Solana, TRON), web/API security, and professional report generation for HackerOne, Bugcrowd, Intigriti, and Immunefi. Trigger on "audit", "bug bounty", "check for vulns", "find bugs", "write report", "security review", "check this contract", "find issues", "CVSS", "HackerOne report", "bounty report", "triage findings". Always use this skill for any security research or audit task, even if the user just pastes code or a URL without explicit instructions.
- brain-briefAgent Brain /brain-brief: after intake, research, and grill have enough signal.
- brainstorm-diverge-convergeApplies structured divergent-convergent thinking to generate many creative options, organize them into meaningful clusters, then systematically evaluate and narrow to the strongest choices. Balances creative exploration with disciplined decision-making. Use when exploring product ideas, solving open-ended problems, generating strategic alternatives, developing research questions, designing experiments, or when user mentions brainstorming, ideation, divergent thinking, generating options, or evaluating alternatives.
- briesearchResearch questions external to the codebase across library docs (Context7), the web (Tavily), local code (cheez-search), and GitHub examples (gh), then synthesize with explicit confidence. Use whenever the user asks to research, look up, compare, or investigate something — phrases like "research X", "look up the API for Y", "compare libraries", "what does the doc say about Z", "find examples of how to do W", "is this library maintained", or "before I implement, what's the right approach". Use even when the user only mentions a library name without saying "research" — when in doubt, briesearch first.MIT
- buffett-investment-researchBuffett-style company analysis and value-investing research. Use when Codex needs to analyze a business or listed company with Warren Buffett's framework, including 巴菲特框架, 价值投资, 护城河, 管理层, 企业文化, 资本配置, 财务韧性, 回购, 错误复盘, 危机应对, or when asked for a Buffett-style investment memo or recommendation.
- bulletproofUse when building a feature, refactoring, fixing a complex bug, changing architecture, or starting any non-trivial coding task. 12-stage verified dev workflow from research to deploy.
- business-skills5 business research skills. Trigger: business strategy, market analysis, competitive intelligence. Design: analytical frameworks and methods for management and innovation research.
- career-document-architectGuides the creation of career documents for academic advancement including research statements, teaching statements, diversity statements, CVs, and biosketches. Combines strategic positioning, narrative coherence, and institutional alignment with authentic representation of contributions and vision. Use when writing or reviewing faculty applications, fellowship statements, promotion packages, award applications, or when user mentions research statement, teaching philosophy, diversity statement, biosketch, academic CV, or career narrative.
- career-managerOrchestrate the complete career-manager system across job-search, company-research, job-tracker, and cv-tailor. Use when coordinating multi-step job hunt workflows, routing requests to the right sub-skill, and enforcing shared data ownership boundaries.
- cc-exploreResearch codebase and dependencies to support planning. Use when evidence is missing.
- cc-exploreResearch codebase and dependencies to support planning. Use when evidence is missing.
- ce-planTransform feature descriptions into structured implementation plans grounded in repo patterns and research. Use when starting any non-trivial work.
- changeVisible Harness change entry. Use for mature-codebase deltas: bugfixes, experiment deltas, architecture changes, evaluation changes, or new research direction triage.
- Chart VisualizationRender research-style PNG charts for trends, comparisons, distributions, and scatter relationships when a visual materially improves the answer
- citation-form-checkVerifies every paper or named research result cited in a substacker draft uses the inline "Author(s), Institution, Year" form per style-guide, not a bare hyperlink or title-alone reference. Flags bare-hyperlink citations and missing-institution attributions. Use whenever the draft references external research. Trigger keywords: citation, paper citation, bare hyperlink, authors, institution, reference format.
- citation-managementComprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.MIT License
- citation-managementManage citations systematically throughout the research and writing process.MIT License
- citation-managementManage citations systematically throughout the research and writing process.MIT License
- citation-managementManage citations systematically throughout the research and writing process.MIT License
- claude-scientific-skillsScientific research and analysis skills
- claude-scientific-skillsScientific research and analysis skills
- claude-scientific-skillsScientific research and analysis skills
- claude-scientific-skillsScientific research and analysis skills
- claude-scientific-skillsScientific research and analysis skills
- clawdstocksClient/SDK + workflow for Clawdbot bots to participate on ClawdStocks.com. Fetches /spec, validates payloads, reads thread context, and posts new threads, structured 5-pillar research (Story, Growth, Valuation, News, Upcoming Catalysts), comments, and votes using X-API-Key. Use when building a bot that debates stocks on ClawdStocks or debugging API payload validation.
- clay-core-workflow-bUse Claygent AI research and AI-powered personalization to generateMIT
- clinical-decision-supportGenerate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.MIT License
- clinical-researchUse when designing a prospective clinical study before submission — selecting and classifying endpoints (primary / key-secondary / exploratory, with surrogate-endpoint flagging), estimating sample size and power for two-arm designs (means / proportions / survival), or scoring a study plan for feasibility and a GO / GO-WITH-CONDITIONS / REDESIGN / NO-GO phase-gate decision. Every output is an ESTIMATE plus a named human owner (clinician / biostatistician / regulatory owner) — never clinical fact, never a finished protocol. Distinct from ra-qm-team, which handles the regulatory/QM submission (ISO 13485, EU MDR, FDA 510(k)/PMA/QSR), not the study design.MIT
- clinical-researchUse when designing a prospective clinical study before submission — selecting and classifying endpoints (primary / key-secondary / exploratory, with surrogate-endpoint flagging), estimating sample size and power for two-arm designs (means / proportions / survival), or scoring a study plan for feasibility and a GO / GO-WITH-CONDITIONS / REDESIGN / NO-GO phase-gate decision. Every output is an ESTIMATE plus a named human owner (clinician / biostatistician / regulatory owner) — never clinical fact, never a finished protocol. Distinct from ra-qm-team, which handles the regulatory/QM submission (ISO 13485, EU MDR, FDA 510(k)/PMA/QSR), not the study design.MIT
- clinical-researchUse when designing a prospective clinical study before submission — selecting and classifying endpoints (primary / key-secondary / exploratory, with surrogate-endpoint flagging), estimating sample size and power for two-arm designs (means / proportions / survival), or scoring a study plan for feasibility and a GO / GO-WITH-CONDITIONS / REDESIGN / NO-GO phase-gate decision. Every output is an ESTIMATE plus a named human owner (clinician / biostatistician / regulatory owner) — never clinical fact, never a finished protocol. Distinct from ra-qm-team, which handles the regulatory/QM submission (ISO 13485, EU MDR, FDA 510(k)/PMA/QSR), not the study design.MIT
- code-searchSearches GitHub for existing implementations, libraries, or patterns. Use when finding code examples or prior art on a topic during a research session.
- code-understandingProvides adversarial code comprehension for security research, mapping architecture, tracing data flows, and hunting vulnerability variants to build ground-truth understanding before or alongside static analysis.
- code-understandingProvides adversarial code comprehension for security research, mapping architecture, tracing data flows, and hunting vulnerability variants to build ground-truth understanding before or alongside static analysis.
- codebase-researchSystematic codebase exploration following the Iron Law - understand the problem before exploring code. Four phases with file-finder and web-researcher agents.
- competitive-intelSystematic competitor tracking that feeds CMO positioning, CRO battlecards, and CPO roadmap decisions. Use when analyzing competitors, building sales battlecards, tracking market moves, positioning against alternatives, or when user mentions competitive intelligence, competitive analysis, competitor research, battlecards, win/loss, or market positioning.MIT
- competitive-intelSystematic competitor tracking that feeds CMO positioning, CRO battlecards, and CPO roadmap decisions. Use when analyzing competitors, building sales battlecards, tracking market moves, positioning against alternatives, or when user mentions competitive intelligence, competitive analysis, competitor research, battlecards, win/loss, or market positioning.MIT
- competitive-intelSystematic competitor tracking that feeds CMO positioning, CRO battlecards, and CPO roadmap decisions. Use when analyzing competitors, building sales battlecards, tracking market moves, positioning against alternatives, or when user mentions competitive intelligence, competitive analysis, competitor research, battlecards, win/loss, or market positioning.MIT
- competitive-teardownAnalyzes competitor products and companies by synthesizing data from pricing pages, app store reviews, job postings, SEO signals, and social media into structured competitive intelligence. Produces feature comparison matrices scored across 12 dimensions, SWOT analyses, positioning maps, UX audits, pricing model breakdowns, action item roadmaps, and stakeholder presentation templates. Use when conducting competitor analysis, comparing products against competitors, researching the competitive landscape, building battle cards for sales, preparing for a product strategy or roadmap session, responding to a competitor's new feature or pricing change, or performing a quarterly competitive review.
- competitive-teardownAnalyzes competitor products and companies by synthesizing data from pricing pages, app store reviews, job postings, SEO signals, and social media into structured competitive intelligence. Produces feature comparison matrices scored across 12 dimensions, SWOT analyses, positioning maps, UX audits, pricing model breakdowns, action item roadmaps, and stakeholder presentation templates. Use when conducting competitor analysis, comparing products against competitors, researching the competitive landscape, building battle cards for sales, preparing for a product strategy or roadmap session, responding to a competitor's new feature or pricing change, or performing a quarterly competitive review.MIT
- competitive-teardownAnalyzes competitor products and companies by synthesizing data from pricing pages, app store reviews, job postings, SEO signals, and social media into structured competitive intelligence. Produces feature comparison matrices scored across 12 dimensions, SWOT analyses, positioning maps, UX audits, pricing model breakdowns, action item roadmaps, and stakeholder presentation templates. Use when conducting competitor analysis, comparing products against competitors, researching the competitive landscape, building battle cards for sales, preparing for a product strategy or roadmap session, responding to a competitor's new feature or pricing change, or performing a quarterly competitive review.
- competitor-alternativesWhen the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' 'competitive landing pages,' 'switch from competitor,' or 'comparison content.' Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. Emphasizes deep research, modular content architecture, and varied section types beyond feature tables.MIT
- competitor-alternativesWhen the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' 'competitive landing pages,' 'switch from competitor,' or 'comparison content.' Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. Emphasizes deep research, modular content architecture, and varied section types beyond feature tables.MIT
- competitor-alternativesWhen the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' 'competitive landing pages,' 'switch from competitor,' or 'comparison content.' Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. Emphasizes deep research, modular content architecture, and varied section types beyond feature tables.MIT
- competitor-alternativesWhen the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' or 'competitive landing pages.' Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. Emphasizes deep research, modular content architecture, and varied section types beyond feature tables.
- competitor-alternativesWhen the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' or 'competitive landing pages.' Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. Emphasizes deep research, modular content architecture, and varied section types beyond feature tables.
- competitor-alternativesWhen the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' or 'competitive landing pages.' Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. Emphasizes deep research, modular content architecture, and varied section types beyond feature tables.
- competitor-alternativesWhen the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' or 'competitive landing pages.' Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. Emphasizes deep research, modular content architecture, and varied section types beyond feature tables.
- competitor-alternativesWhen the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' or 'competitive landing pages.' Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. Emphasizes deep research, modular content architecture, and varied section types beyond feature tables.
- competitor-analysisAnalyze competitors with strengths, weaknesses, and differentiation opportunities. Identifies direct competitors and maps the competitive landscape. Use when doing competitive research, preparing a competitive brief, or finding differentiation opportunities.
- competitor-analysisResearch competitors with Browserbase discovery, enrichment lanes, screenshots, matrices, and HTML reports.MIT
- conf-abstract-enrichmentThicken a thin or missing conference-session abstract through targeted web research so short, noisy text becomes classifiable — pulling the speaker's recent work, the linked repo or paper, and the company/product to add signal. Every enriched claim carries provenance (source URL + retrieval date) and a confidence, the enriched text is stored separately from the original (never overwriting it), and enrichment is gated so already-rich abstracts are left alone. Conference-agnostic. Use when an event record has been flagged thin by program extraction, when a session lacks enough text to classify, or when a key axis (depth, topic) is low-confidence. Trigger keywords - abstract enrichment, thicken abstract, enrich session, speaker research, thin abstract, runtime web search for talks.
- contact-researchResearch a specific person using Common Room data. Triggers on 'who is [name]', 'look up [email]', 'research [contact]', 'is [name] a warm lead', or any contact-level question.
- content-pipelineThis skill should be used when the user asks to "콘텐츠 만들어줘", "카드뉴스 만들어줘", "카드뉴스 영상 만들어줘", "리서치부터 영상까지", "콘텐츠 파이프라인", "content pipeline", "주제로 콘텐츠 만들어줘". 주제 하나로 리서치→카드뉴스→영상까지 풀 파이프라인을 자동 실행합니다. Make sure to use this skill whenever the user mentions content creation that involves research, card news, or video generation from a topic.
- content-research|
- content-strategistUse when planning a multi-article content strategy from a research corpus, creating domain maps for content topology, building production plans for pillar and cluster articles, or tracking cross-article production.MIT
- context7Search GitHub issues, pull requests, and discussions across any repository. Activates when researching external dependencies (whisper.cpp, NAudio), looking for similar bugs, or finding implementation examples.
- context7_auto_research.skill
- context7-auto-researchAutomatically fetch latest library/framework documentation for Claude Code via Context7 API
- context7-auto-researchAutomatically fetch latest library/framework documentation for Claude Code via Context7 API. Use when you need up-to-date documentation for libraries and frameworks or asking about React, Next.js, Prisma, or any other popular library.
- context7-auto-researchAutomatically fetch latest library/framework documentation for Claude Code via Context7 API. Use when you need up-to-date documentation for libraries and frameworks or asking about React, Next.js, Prisma, or any other popular library.
- context7-auto-researchAutomatically fetch latest library/framework documentation for Claude Code via Context7 API. Use when you need up-to-date documentation for libraries and frameworks or asking about React, Next.js, Prisma, or any other popular library.
- continuous-discoveryBuild a weekly cadence of customer touchpoints using Opportunity Solution Trees, assumption mapping, and interview snapshots. Use when the user mentions "continuous discovery", "opportunity solution tree", "weekly interviews", "assumption testing", "discovery habits", "product trio", "outcome-based roadmap", "how do I talk to customers regularly", "we keep building things nobody uses", or "connect research to the roadmap". Also trigger when setting up regular customer feedback loops, prioritizing which experiments to run, or tying discovery insights to delivery work. Covers experience mapping, co-creation, and prioritizing opportunities. For interview technique, see mom-test. For team structure, see inspired-product.MIT
- create-technical-spikeCreate time-boxed technical spike documents for researching and resolving critical development decisions before implementation.
- create-technical-spikeCreate time-boxed technical spike documents for researching and resolving critical development decisions before implementation.
- creating-github-issues-from-web-researchExecute this skill enhances AI assistant''s ability to conduct web researchMIT
- crewaiBuild multi-agent AI systems with CrewAI. Create autonomous agents with roles, tools, and collaborative workflows. Use for complex task automation, research teams, and orchestrated AI agent systems.
- crossframe-suiteUse when the user explicitly invokes CrossFrame Suite for Chinese structural diagnosis workflows across relationships, organizations, public issues, philosophy, research, or essay output.MIT
- crossframe-suiteUse when the user explicitly invokes CrossFrame Suite for Chinese structural diagnosis workflows across relationships, organizations, public issues, philosophy, research, or essay output.MIT
- crypto-intel-agentComprehensive crypto research with price data, TVL, GitHub activity, tokenomics, and security analysis.
- crypto-intel-researchProject research, tokenomics, team info, and onchain analytics aggregator.
- cs-content-creatorLong-form marketing content producer orchestrating the content-production skill (research → brief → draft → optimize → gate). Use when content must be written, scored, or made publish-ready — e.g., drafting a 2,000-word blog post against a target keyword and blocking publish until content_quality_gates.py passes, or auditing a draft for brand-voice drift with brand_voice_analyzer.py before it ships. Routes planning requests (topic clusters, calendars) to content-strategy. Supersedes the deprecated content-creator skill.
- cs-content-creatorLong-form marketing content producer orchestrating the content-production skill (research → brief → draft → optimize → gate). Use when content must be written, scored, or made publish-ready — e.g., drafting a 2,000-word blog post against a target keyword and blocking publish until content_quality_gates.py passes, or auditing a draft for brand-voice drift with brand_voice_analyzer.py before it ships. Routes planning requests (topic clusters, calendars) to content-strategy. Supersedes the deprecated content-creator skill.MIT
- cs-ux-researcherUX research agent for research planning, persona generation, journey mapping, and usability test analysis. Use when product decisions need user evidence — e.g., planning interview scripts and recruiting criteria for a discovery study, or synthesizing usability-test sessions into prioritized findings and updated personas.
- cs-ux-researcherUX research agent for research planning, persona generation, journey mapping, and usability test analysis. Use when product decisions need user evidence — e.g., planning interview scripts and recruiting criteria for a discovery study, or synthesizing usability-test sessions into prioritized findings and updated personas.MIT
- curator-initScaffold a PROF-S source/curator profile for a research-corpus discovery curator (account/feed) from its handle. Runs via `aiwg corpus curator-init`.
- cursor-debateRun a research-first, multi-perspective debate to explore complex technical decisions (trade-offs, architecture choices, integration strategies) using concrete codebase evidence. Use when the user asks to "debate" approaches, compare options, or needs a structured exploration before deciding.
- cve-researchResearch CVEs and security advisories for project dependencies. Uses Exa, NVD API, OSV.dev, and GitHub Advisory Database to find known vulnerabilities.
- data-researcherData discovery and analysis specialist focused on extracting actionable insights from complex datasets, identifying patterns and anomalies, and transforming raw data into strategic intelligence. Excels at multi-source data integration, advanced analytics, and data-driven decision support.
- Deep ResearcherInvestiga documentación oficial y valida soluciones en internet antes de implementar.
- deep-insight-web-researchDeep web research with full page fetching via Apify. Import of web-browsing/web-research
- deep-paper-readingDeeply read, investigate, critique, and write a detailed Chinese Markdown report for academic papers. Use when the user asks to analyze a paper, PDF, arXiv article, conference paper, journal article, technical report, or manuscript in depth, especially when they request a saved md report, Chinese literature overview, author background, Introduction and Related Work investigation, detailed method breakdown, framework analysis, detailed experiment analysis, code or pretrained weight availability, limitations, insights, or future research directions.
- deep-researchUse this skill instead of WebSearch for ANY question requiring web research. Trigger on queries like "what is X", "explain X", "compare X and Y", "research X", or before content generation tasks. Provides systematic multi-angle research methodology instead of single superficial searches. Use this proactively when the user's question needs online information.
- deep-research|
- deep-researchMulti-source research with source triangulation and fact-checking. Use for any research task requiring 3+ sources.
- deep-researchThis skill should be used when conducting comprehensive research on any topic using the OpenAI Deep Research API. It automates prompt enhancement through interactive clarifying questions, saves research parameters, and executes deep research with web search capabilities. Use when the user asks for in-depth analysis, investigation, research summaries, or topic exploration.
- deep-researchUse this skill instead of WebSearch for ANY question requiring web research. Trigger on queries like "what is X", "explain X", "compare X and Y", "research X", or before content generation tasks. Provides systematic multi-angle research methodology instead of single superficial searches. Use this proactively when the user's question needs online information.
- deep-researchDeep research and discovery before building something new. Explores local projects for reusable code, researches competitors, reads forums and reviews, analyses plugin ecosystems, investigates technical options, and produces a comprehensive research brief. Three depths: focused (30 min), wide (1-2 hours), deep (3-6 hours). Triggers: 'research this', 'discovery', 'explore the space', 'what should I build', 'competitive analysis', 'before I start building', 'research before coding'. Not for cited fact-checking research reports (a separate harness does those); this is pre-build product discovery.
- deep-researchMulti-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
- deep-research
- deep-researchRun autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.
- deep-researchRun autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.
- deep-researchRun autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.
- deep-research>-
- deep-researchRun a thorough, source-heavy investigation on any topic. Use when the user asks for deep research, a comprehensive analysis, an in-depth report, or a multi-source investigation. Produces a cited research brief with provenance tracking.
- deep-research-prompt将简单的deep research请求优化为有效的提示词，适用于Perplexity、OpenAI Research、千问深度研究等工具
- deep-researcherConducts comprehensive web research, synthesizes data from multiple sources, and produces detailed reports.
- deepxiv-baseline-tableBuild a markdown baseline table for a research topic using deepxiv search, brief, head, and experiment-section reads, extracting paper title, URL, open-source status, datasets, benchmark scores, and other comparison-ready details.
- deepxiv-baseline-tableBuild a markdown baseline table for a research topic using deepxiv search, brief, head, and experiment-section reads, extracting paper title, URL, open-source status, datasets, benchmark scores, and other comparison-ready details.
- deepxiv-baseline-tableBuild a markdown baseline table for a research topic using deepxiv search, brief, head, and experiment-section reads, extracting paper title, URL, open-source status, datasets, benchmark scores, and other comparison-ready details.
- denarioMultiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
- developerOrchestrate research, planning, implementation, and verification.
- digital-humanities-guideComputational methods for humanities research including text mining and netwo...
- discover-frameworkResearch and add new strategic frameworks to the system (meta-skill). Use when user wants to add framework not in library; discovered new framework in their domain; asks "Can you add [Framework]?"; or no existing framework fits their need. Uses web search for comprehensive research, validates quality, creates framework files, and integrates into system.
- discovery-interview-prepGuide product managers through preparing for customer discovery interviews by asking adaptive questions about research goals, customer segments, constraints, and methodologies. Use this to design effe
- discovery-interviews-surveysDesigns structured interview guides, survey instruments, and JTBD probes to learn from users while avoiding common research biases (leading questions, confirmation bias, selection bias). Use when validating product assumptions before building, discovering unmet user needs, understanding customer problems and workflows, testing concepts or positioning, researching target markets, identifying jobs-to-be-done and hiring triggers, or uncovering pain points and workarounds.
- docs-researcherSearches and analyzes documentation to provide relevant information for development tasks. Use this agent when you need documentation context, architectural guidance, or implementation examples from the docs/ folder.
- doctorgEvidence-based health research using tiered trusted sources with GRADE-inspired evidence ratings. Integrates Apple Health data for personalized context. Use when user asks health, nutrition, exercise, sleep, or wellness questions.
- document-hunterSearches and retrieves documents from free public sources using automated browser navigation. Use when research needs primary source documents like court filings, government reports, or public records.
- document-source-write-back-apiResearch and document write/create APIs of a source system to enable write-back testing functionality.
- domain-research>
- domain-research-health-scienceGuides clinical and health science research through PICOT question formulation, evidence hierarchy assessment, bias evaluation (Cochrane RoB 2, ROBINS-I), outcome prioritization, and GRADE certainty rating. Use when formulating clinical research questions, evaluating health evidence quality, prioritizing patient-important outcomes, conducting systematic reviews or meta-analyses, creating evidence summaries for guidelines, or assessing regulatory evidence.
- dossierDecision-grade entity research skill — produces a hypothesis-tested dossier on a specific company, person, nonprofit, or government org, not a generic profile. Forcing intake makes the user state their hypothesis upfront (what they already believe and want to verify or disprove) so the dossier tests it rather than confirms it. Output is an editable Word document (.docx) with verdict on the hypothesis, identity facts, 12-month activity timeline, network and reputation signals, red flags, conversation hooks tied to specific findings, and source-provenance audit log. Uses WebSearch + WebFetch + free APIs (SEC EDGAR, GitHub, ProPublica) as workhorses; optional BYOK MCPs enhance coverage. Use when the user asks for background research, diligence, or meeting prep on a specific entity (e.g., 'prep me for a meeting with [person/company]', 'due diligence on [company]'). Honors sensitivity exclusions for journalism + personal-vetting contexts.MIT
- dossierDecision-grade entity research skill — produces a hypothesis-tested dossier on a specific company, person, nonprofit, or government org, not a generic profile. Forcing intake makes the user state their hypothesis upfront (what they already believe and want to verify or disprove) so the dossier tests it rather than confirms it. Output is an editable Word document (.docx) with verdict on the hypothesis, identity facts, 12-month activity timeline, network and reputation signals, red flags, conversation hooks tied to specific findings, and source-provenance audit log. Uses WebSearch + WebFetch + free APIs (SEC EDGAR, GitHub, ProPublica) as workhorses; optional BYOK MCPs enhance coverage. Use when the user asks for background research, diligence, or meeting prep on a specific entity (e.g., 'prep me for a meeting with [person/company]', 'due diligence on [company]'). Honors sensitivity exclusions for journalism + personal-vetting contexts.MIT
- dossierDecision-grade entity research skill — produces a hypothesis-tested dossier on a specific company, person, nonprofit, or government org, not a generic profile. Forcing intake makes the user state their hypothesis upfront (what they already believe and want to verify or disprove) so the dossier tests it rather than confirms it. Output is an editable Word document (.docx) with verdict on the hypothesis, identity facts, 12-month activity timeline, network and reputation signals, red flags, conversation hooks tied to specific findings, and source-provenance audit log. Uses WebSearch + WebFetch + free APIs (SEC EDGAR, GitHub, ProPublica) as workhorses; optional BYOK MCPs enhance coverage. Use when the user asks for background research, diligence, or meeting prep on a specific entity (e.g., 'prep me for a meeting with [person/company]', 'due diligence on [company]'). Honors sensitivity exclusions for journalism + personal-vetting contexts.MIT
- dossierCreate senior-level deep research dossiers and roadmap companions. Use when the user asks for a dossier, senior research, deep research, in-depth research, mental models for a topic, senior perspective on a topic, how something actually works, ramp up on a topic, architectural deep dive, tradeoffs, failure modes, or what a senior would notice. Produces current-directory research-* and roadmap-* markdown artifacts, not a tutorial or short summary.
- drugbank-databaseAccess and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.
- drugbank-databaseAccess and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.
- drugbank-databaseAccess and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.
- drugbank-databaseAccess and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.
- drugbank-databaseAccess and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.
- drugbank-databaseAccess and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.Unknown
- echoUser researcher — interviews, personas, Jobs-to-Be-Done, and customer feedback synthesis.MIT
- echoUser researcher — interviews, personas, Jobs-to-Be-Done, and customer feedback synthesis.MIT
- echo-reconUser research reconnaissance — survey existing personas, research docs, interview notes, and feedback artifacts to establish what is already known about users. Use when asked to "what research exists", "review existing personas", "what do we know about our users", or before starting new research or synthesis work.MIT
- ecommerce-product-detailExtract complete product information from any e-commerce product page. Returns name, price, currency, brand, images, description, SKU/ASIN/EAN/UPC/GTIN/MPN identifiers, stock availability, rating, review count, variants, and seller. Works on Shopify, Amazon, WooCommerce, eBay, Walmart, Etsy, AliExpress, Alibaba, Target, Best Buy, Rakuten, Magento, BigCommerce, PrestaShop, and any public e-commerce site. Accepts product URL, keyword, or product identifier (SKU/ASIN/EAN/UPC). Use when: scrape product page, get product details, extract price and availability, product info extraction, check product data, product detail scraping, get product from URL, keyword product search, ASIN lookup, EAN search, UPC lookup, price check, product research, compare products, monitor product price, get product images, product brand and description, ecommerce data extraction, product catalog scraping, product page scraper, get item price, fetch product info.
- ecommerce-seller-infoExtract seller or merchant profile data from marketplace platform seller pages. Returns seller name, rating, review count, positive feedback percentage, joined date, and return policy. Works on Amazon seller pages, eBay seller pages, and any e-commerce site with seller profiles. Use when: seller information, merchant profile, seller rating, marketplace seller data, seller details, vendor profile, store information, seller feedback, merchant rating, seller review count, get seller info, ebay seller page, amazon seller profile, marketplace vendor analysis, seller research.
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- efficient-web-research>
- efficient-web-research>
- empathy-mappingCreate structured visualizations of stakeholder perspectives (says, thinks, does, feels) to build deep understanding. Use when conducting user research or validating assumptions.
- ensembl-databaseQuery Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.
- exaUse when tasks need Exa MCP for web or people research, or when preparing Exa MCP server configuration with a fixed tool set. Trigger for requests to run Exa search, advanced Exa search, people search, or summarize Exa-based findings with source links.
- exa-searchSemantic search, similar content discovery, and structured research using Exa API. Use when you need semantic/embeddings-based search, finding similar content, or searching by category (company, people, research papers, etc.).
- exa-searchSemantic search, similar content discovery, and structured research using Exa API
- exa-searchWeb toolkit powered by Exa, tuned for scientific and technical content. Use this skill when the user needs to search the web or fetch/extract URL content. Covers: web search (semantic lookups, research, current info — with optional research-paper category and academic domain filtering) and URL extraction (fetching pages, articles, academic PDFs in batch). Use this skill for web-related tasks when the user wants high-quality search or scholarly filtering via category=research paper. Triggers on requests to search, look up, fetch a page, or extract an article.MIT
- exa-searchUse Exa for semantic/neural web search. Exa understands context and returns high-quality results. Use this skill when you need to search the web for documentation, research, or any information that requires understanding meaning rather than just keyword matching. NEVER substitute web_search for Exa - they serve completely different purposes.
- exa-searchNeural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
- exa-searchSemantic search, similar content discovery, and structured research using Exa API. Use when you need semantic/embeddings-based search, finding similar content, or searching by category (company, people, research papers, etc.).
- exa-searchSemantic search, similar content discovery, and structured research using Exa API. Use when you need semantic/embeddings-based search, finding similar content, or searching by category (company, people, research papers, etc.).
- exa-searchSemantic search, similar content discovery, and structured research using Exa API. Use when you need semantic/embeddings-based search, finding similar content, or searching by category (company, people, research papers, etc.).
- exa-searchNeural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
- exa-searchSemantic search, similar content discovery, and structured research using Exa API. Use when you need semantic/embeddings-based search, finding similar content, or searching by category (company, people, research papers, etc.).
- experiment-designDesign scientific experiments including sample size calculation, randomization, control groups, blinding, and study protocols. Covers RCTs, quasi-experiments, factorial designs, A/B tests, survey design, and observational studies. Use when user asks to design an experiment, calculate sample size, plan a study, set up controls, or create a research protocol. Triggers on "design experiment", "sample size", "power analysis", "study design", "control group", "randomization", "A/B test", "factorial design", "survey design".
- experiment-designDesign scientific experiments including sample size calculation, randomization, control groups, blinding, and study protocols. Covers RCTs, quasi-experiments, factorial designs, A/B tests, survey design, and observational studies. Use when user asks to design an experiment, calculate sample size, plan a study, set up controls, or create a research protocol. Triggers on "design experiment", "sample size", "power analysis", "study design", "control group", "randomization", "A/B test", "factorial design", "survey design".
- explain-math-intuitionTeaches mathematical concepts (linear algebra, probability, statistics, vector calculus, optimization, etc.) using an engineering-first intuition framework. Use when explaining math from research papers, ML models, robotics systems, or when the user asks "why does this math exist?" or "where is this used?
- expository-writingExpository and argumentative prose techniques for nonfiction. Covers essay structure (thesis-driven, exploratory, lyric), argumentation (claim-evidence-reasoning, counterargument, concession, Toulmin model), paragraph architecture (topic sentences, development, transitions, coherence), clarity and precision (Orwell's six rules, plain language, jargon management), research integration (source synthesis, attribution, paraphrase vs. quotation), and nonfiction forms (personal essay, op-ed, critical review, academic paper, reported piece). Use when writing nonfiction prose, constructing arguments, or analyzing expository structure.
- factory-researcher웹 문서 및 GitHub 예제 분석 전문 스킬MIT
- feature-suggestScan project codebase, perform web research, and generate innovative feature recommendations.
- feature-workflowOrchestrate complete or partial feature implementation workflow with configurable phases. This skill should be used to run the full workflow (specification → research → plan → implement → test → fix) or specific phases, coordinating between all feature-implementation skills automatically.
- final-validationSelf-review the North Star + ResearchBrief for completeness, consistency,
- finance-newsMarket news briefings with AI summaries and price alerts. Aggregates headlines from US/Europe/Japan markets. Use when: 'stock news', 'market updates', 'morning briefing', 'evening market wrap', 'financial headlines', 'price alerts', 'what happened in the market'. Supports WhatsApp delivery and English/German output. NOT for fundamental analysis or scoring (use equity-research). NOT for raw financial data queries (use openbb).
- firebase-apk-scannerScans Android APKs for Firebase security misconfigurations including open databases, storage buckets, authentication issues, and exposed cloud functions. Use when analyzing APK files for Firebase vulnerabilities, performing mobile app security audits, or testing Firebase endpoint security. For authorized security research only.
- firecrawl-researchThis skill should be used when the user requests to research topics using FireCrawl, enrich notes with web sources, search and scrape information, or write scientific/academic papers. It extracts research topics from markdown files, creates research documents with scraped sources, generates BibTeX bibliographies from research results, and provides Pandoc/MyST templates for academic writing with citation management.
- fix_novel_research_skill
- foundation-stakeholder-briefingsTurns any source artifact (spec, discovery, research, GTM plan, experiment results, retro, or raw notes) into one canonical master document plus a set of audience-tailored briefings, each re-pitched to a stakeholder lens (executive, board, engineering, UX, PMM, sales, CS, legal, data, or a custom audience). Every briefing is a traceable projection of the master, so the versions never disagree. Use when one piece of work must reach several audiences who each need a different framing, decision, and level of detail.Apache-2.0
- frontmatterGenerates YAML frontmatter metadata (date/time, git commit, branch, repository) for workflow documentation. Use when creating research docs, plans, or work summaries.
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- gamut-create-skillBlueprint — use this skill when authoring a new Gamut agent skill from scratch, from component source research through Storybook integration. Not for general Gamut development (see individual component skills).
- gangtise-copilotGangtise (岗底斯投研) OpenAPI skill suite installer and diagnostic tool. One-click install 19 official skills (data, research, utility), configure accessKey/secretAccessKey, run health diagnostics. Trigger when user mentions Gangtise, 岗底斯, any gangtise-* skill, credential setup, or reports errors like 'token is invalid' / '接口地址错误'.
- gemini-cliUse Google's Gemini CLI for web-grounded research (Google Search), automation via one-shot prompts, and second-opinion review. Use when you need structured JSON output, fast scripting workflows, or cross-AI validation.
- gemini-proUse Gemini Pro for deep reasoning: complex analysis, domain expertise, nuanced explanations, research, detailed knowledge.
- godot-genre-rhythmExpert blueprint for rhythm games including audio synchronization (BPM conductor, latency compensation with AudioServer.get_time_since_last_mix), note highways (scroll speed, timing windows), judgment systems (Perfect/Great/Good/Bad/Miss), scoring with combo multipliers, input processing (lane-based, hold note detection), and chart/beatmap loading. Based on DDR/osu!/Beat Saber research. Trigger keywords: rhythm_game, audio_sync, timing_judgment, note_highway, combo_system, BPM_conductor, latency_compensation.
- goofish-search-listScrapes second-hand item search results from Goofish (闲鱼/xianyu, goofish.com) — China's largest second-hand marketplace. Input: keyword, optional sort/filter params. Output: list of items with id, title, price, image, location, want-count per page (30 items/page). Use when user mentions goofish, 闲鱼, xianyu, 二手交易, second-hand marketplace China, 二手商品搜索, search used goods, scrape goofish listings, xianyu search results, collect second-hand prices, monitor used item prices, 闲鱼关键词搜索, 闲鱼数据采集, 批量抓取闲鱼, goofish scraper, goofish data, xianyu data extraction, 二手商品价格监控, used iPhone prices, 二手手机价格. Also applies to: price research on Chinese second-hand market, competitor product monitoring via used goods listings, inventory analysis.
- google-image-api-skillThis skill helps users automatically extract structured image data from Google Images via BrowserAct API. Agent should proactively apply this skill when users express needs like finding images for specific keywords, gathering product style images for competitors, building visual datasets at scale, scanning visual search results for market research, tracking localized image trends by country, compiling related image thumbnails and links, extracting image titles and source logos, fetching click through URLs from image results, monitoring competitor visual assets, sourcing creative content for specific topics, looking up product pictures in different regions, collecting structured image metadata without opening detail pages.
- google-image-searchSearch and download images via Google Custom Search API with LLM-powered selection. This skill should be used when finding images for articles, presentations, research documents, or enriching Obsidian notes with relevant visuals. Supports simple queries, batch processing from JSON config, automatic config generation from terms, and full note enrichment with automatic image insertion below headings.
- google-maps-api-skillThis skill helps users automatically scrape business data from Google Maps using the BrowserAct Google Maps API. Agent should proactively trigger this skill for needs like finding restaurants in a specific city, extracting contact info of dental clinics, researching local competitors, collecting addresses of coffee shops, generating lead lists for specific industries, monitoring business ratings and reviews, getting opening hours of local services, finding specialized stores (e.g., Turkish-style restaurants), analyzing business categories in a region, extracting website links from local businesses, gathering phone numbers for sales outreach, mapping out service providers in a specific country.
- google-maps-contact-extractExtracts business contact details from Google Maps search results and place detail pages, then visits each business website to collect emails, phone numbers, and social media profiles (Facebook, Instagram, Twitter/X, LinkedIn, YouTube, TikTok, Pinterest, Discord). Use when user mentions Google Maps contact extraction, maps email scraper, business lead generation from Google Maps, find emails from maps, scrape Google Maps businesses, maps business contacts, get phone from Google Maps, social media from maps listing, competitor research from maps, local business contact list, maps data export, google maps scraper, extract contacts from google maps, find business email google, gmaps leads, maps email finder, or wants to replicate Google Maps business data extraction.
- google-maps-reviews-api-skillThis skill is designed to help users automatically extract reviews from Google Maps via the Google Maps Reviews API. Agent should proactively apply this skill when users request to find reviews for local businesses (e.g., coffee shops, clinics), monitor customer feedback for a specific brand or location, analyze sentiment of reviews for competitors, extract reviews for a chain of stores or services, track reputation of a local restaurant, gather user testimonials for a specific venue, conduct market research on service quality of local businesses, monitor reviews for a new retail location, collect feedback on public attractions or parks, identify common complaints for a specific service provider, research the best-rated places in a city, analyze recurring themes in reviews for a specific industry.
- google-maps-reviews-api-skillThis skill is designed to help users automatically extract reviews from Google Maps via the Google Maps Reviews API. Agent should proactively apply this skill when users request to find reviews for local businesses (e.g., coffee shops, clinics), monitor customer feedback for a specific brand or location, analyze sentiment of reviews for competitors, extract reviews for a chain of stores or services, track reputation of a local restaurant, gather user testimonials for a specific venue, conduct market research on service quality of local businesses, monitor reviews for a new retail location, collect feedback on public attractions or parks, identify common complaints for a specific service provider, research the best-rated places in a city, analyze recurring themes in reviews for a specific industry.
- google-maps-search-api-skillThis skill is designed to help users automatically extract business data from Google Maps search results. The Agent should proactively apply this skill when the user makes the following requests searching for coffee shops in a specific city, finding dentists or medical clinics nearby, tracking competitors' locations in a certain area, extracting business leads from Google Maps lists, gathering restaurant data for market research, finding hotels or accommodation options in a region, locating specific services like coworking spaces or gyms, monitoring new business openings in a neighborhood, collecting contact information and addresses for sales prospecting, analyzing price ranges and cuisines of local eateries, getting ratings and review counts for a list of businesses, exporting local business data into a CRM or database.
- google-news-api-skillThis skill helps users automatically extract structured news data from Google News via BrowserAct API. Agent should proactively apply this skill when users express needs like searching for news about a specific topic, tracking industry trends, monitoring public relations or sentiment, collecting competitor updates, getting latest reports on specific keywords, monitoring brand exposure in media, researching market hot topics, summarizing daily industry news, tracking media activities of specific individuals, retrieving hot events from the past 24 hours, extracting structured data for market research, monitoring global breaking news.
- google-search-serpExtracts Google Search results page (SERP) data including organic results, paid ads, related searches, People Also Ask questions, AI Overview text, and total result count from google.com. Use when user mentions Google search results, SERP scraping, google search data, search engine results page, organic rankings, keyword SERP, Google SERP extraction, scrape Google search, Google search API alternative, SEO ranking data, paid search ads, PPC ads on Google, Google search monitoring, keyword research, search results export, check Google rankings, what shows up on Google, search engine scraper, google results checker.
- grantsNIH grant research skill for clinical researchers. Grill-me intake (research idea + career stage + preliminary data + environment + submission posture + known institute targets) locks down the funding strategy before any search runs. Runs a 5-facet Consensus positioning analysis (with draft Significance/Innovation language), maps the research to the right NIH institutes and study sections via RePORTER, finds NOSIs and funded overlap, and produces an editable Word document (.docx) with budget/scope-aware mechanism recommendations, submission timelines, and a mandatory program officer recommendation. Use when the user asks about research funding or makes any grant-related request (e.g., 'grants for [topic]', 'find grants for my research idea', 'what grants match my research', 'help me find NIH funding', 'grant opportunities for my research'). NIH-only scope — non-NIH funders (PCORI, DOD CDMRP, VA, foundations) are out of scope and flagged at intake.MIT
- grantsNIH grant research skill for clinical researchers. Grill-me intake (research idea + career stage + preliminary data + environment + submission posture + known institute targets) locks down the funding strategy before any search runs. Runs a 5-facet Consensus positioning analysis (with draft Significance/Innovation language), maps the research to the right NIH institutes and study sections via RePORTER, finds NOSIs and funded overlap, and produces an editable Word document (.docx) with budget/scope-aware mechanism recommendations, submission timelines, and a mandatory program officer recommendation. Use when the user asks about research funding or makes any grant-related request (e.g., 'grants for [topic]', 'find grants for my research idea', 'what grants match my research', 'help me find NIH funding', 'grant opportunities for my research'). NIH-only scope — non-NIH funders (PCORI, DOD CDMRP, VA, foundations) are out of scope and flagged at intake.MIT
- grantsNIH grant research skill for clinical researchers. Grill-me intake (research idea + career stage + preliminary data + environment + submission posture + known institute targets) locks down the funding strategy before any search runs. Runs a 5-facet Consensus positioning analysis (with draft Significance/Innovation language), maps the research to the right NIH institutes and study sections via RePORTER, finds NOSIs and funded overlap, and produces an editable Word document (.docx) with budget/scope-aware mechanism recommendations, submission timelines, and a mandatory program officer recommendation. Use when the user asks about research funding or makes any grant-related request (e.g., 'grants for [topic]', 'find grants for my research idea', 'what grants match my research', 'help me find NIH funding', 'grant opportunities for my research'). NIH-only scope — non-NIH funders (PCORI, DOD CDMRP, VA, foundations) are out of scope and flagged at intake.MIT
- groomDeep-research a feature, bug, or refactor and produce a specified, estimated plan with Definition of Done. Cross-validates architecture with a second model when useful. Use when the user describes a new piece of work that needs to be shaped before implementation.
- grove-research-reportUse when summarizing research findings into a final report.
- gsd:research-phaseResearch specific phase implementation details
- gsd:research-projectResearch project domain and requirements
- gsd:synthesizeSynthesize research findings into actionable insights
- gtm-meta-skill[DEPRECATED — use deepline-gtm] Use this skill for GTM prospecting, enrichment, qualification, and outbound workflows, especially when users mention Deepline, CSV processing, lead/account/contact research, waterfall enrichment, email or LinkedIn lookup, personalization, scoring, or campaign activation. Route CSV-heavy and provider-driven requests through this skill, then rely on linked sub-docs and provider playbooks for execution details. Available providers: adyntel, ai_ark, apify, apollo, attio, bettercontact, bloomberry, builtwith, cloudflare, contactout, crustdata, crustdata-v2, customer_db, dataforseo, datagma, deepline_native, deeplineagent, discolike, dropleads, exa, findymail, firecrawl, forager, fullenrich, generic_http, heyreach, hubspot, hunter, icypeas, instantly, ipqs, leadmagic, lemlist, linkedin_ads_audiences, linkedin_scraper, lusha, openwebninja, parallel, peopledatalabs, prospeo, rocketreach, salesforce, serper, slack, smartlead, snowflake, theirstack, trestle, wiza, zerobounce.
- gully-research-agentNews and research analysis scanning web, Reddit, and news for prediction market signals.
- gurume-cliUse the `gurume` CLI to search Japanese restaurants on Tabelog. Trigger this whenever the user wants to find, recommend, or research restaurants/eateries in Japan — by area (Tokyo, Osaka, Kyoto, 三重, etc.), by cuisine (ramen, sushi, yakiniku, izakaya...), or with a vague request like "where should I eat in Shibuya" or "any good unagi spots near Tokyo Station". Use this even when the user does not explicitly mention Tabelog or the `gurume` tool, as long as the intent is finding Japanese restaurants.
- Gym & Training ExpertApply cutting-edge exercise science from 2025 research on hypertrophy, progressive overload, biomechanics, and evidence-based training protocols for optimal strength and muscle development
- hardware-securityHardware and embedded security research capabilities. Interface with JTAG debuggers, analyze SPI/I2C communications, dump and analyze firmware, support fault injection, side-channel analysis, and hardware exploitation research.
- hardware-securityHardware and embedded security research capabilities. Interface with JTAG debuggers, analyze SPI/I2C communications, dump and analyze firmware, support fault injection, side-channel analysis, and hardware exploitation research.
- hebrew-legal-researchAssist with Israeli legal research including legislation lookup, case law concepts, Hebrew legal terminology, and legal document preparation guidance. Use when user asks about Israeli law, "chok", "mishpat", "bagatz", court procedures, employment law, contract law, real estate law, or needs help with Hebrew legal terms. Covers civil, commercial, employment, and administrative law. Do NOT use for providing formal legal advice, always recommend consulting a licensed Israeli attorney (orech din). Do NOT use for non-Israeli legal systems.MIT
- helium-mcpConnect to Helium's MCP server for news research, media bias analysis, balanced perspectives, stock/options data, and semantic meme search across 3.2M+ articles and 5,000+ sources
- helium-mcpConnect to Helium's MCP server for news research, media bias analysis, balanced perspectives, stock/options data, and semantic meme search across 3.2M+ articles and 5,000+ sources
- helium-mcpConnect to Helium's MCP server for news research, media bias analysis, balanced perspectives, stock/options data, and semantic meme search across 3.2M+ articles and 5,000+ sources
- helm-reconProduct landscape reconnaissance — survey existing briefs, research, strategy, and team output before writing new briefs or dispatching specialists. Use when asked to "understand the product state", "what briefs exist", "what has the team produced", "orient me on this product", or before starting a new product initiative.MIT
- hf-papersBrowse trending papers, search by keyword, and get paper details from Hugging Face Papers. Use when the user wants to find ML research, asks about recent AI papers, trending models, or mentions Hugging Face Papers.
- hierarchical-symbolic-subgoal-decompositionUse this when the user wants to solve a large, multi-faceted project by breaking a distal goal into a sequence of abstract middle-states, sub-goals, or typed nodes like research versus writing. Trigger it for requests like 'break this big project into different types of steps', 'recursively decompose this goal until you have simple steps', 'give me a high-level strategy and then the moves to do it', or 'organize a plan where composition steps wait for reasoning steps.
- hinge-profile-optimizerComprehensive, research-backed Hinge dating profile optimization. Use when someone wants to improve their Hinge profile, audit an existing profile, write better prompts/captions, select and order photos strategically, or understand why they're not getting quality matches. This is the thorough process (~45 mins) - discovery interview, honest market math, photo strategy, copy creation, settings cleanup, and implementation support. Grounded in peer-reviewed behavioral research, platform data, and signaling theory.
- hookradar-creative-intelligenceUse when researching competitors, paid ads, Meta Ad Library creatives, TikTok ads, Instagram/TikTok organic videos, HookRadar MCP data, creative trends, AI creative analysis, reports, downloadable ad/video assets, or shareable creative tables for marketing teams.
- hps-academic-paperAcademic Paper deck theme: LaTeX-paper feel on paper-white #fdfcf8 — all-serif type (Latin Modern Roman → Playfair Display fallback), ink-black body, link-blue #1a3a7a underlined anchors, italic kickers, zero radius, near-zero shadow, hairline booktabs rules. Single-file HTML deck for conference talks, thesis defenses, research reviews and journal-club presentations.
- hugging-face-paper-publisherPublish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
- hugging-face-paper-publisherPublish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
- humanities-skills5 humanities skills. Trigger: textual analysis, archival research, digital humanities, philosophy. Design: digital tools and qualitative methods for humanities scholarship.
- hypogenicAutomated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses against observational data, or conducting systematic hypothesis exploration for research discovery in domains like deception detection, AI content detection, mental health analysis, or other empirical research tasks.
- hypothesis-formation-paper-researchImport SOP: Deep literature research, raw full text + PDF Q&A (from
- idea-osFive-phase pipeline (triage → clarify → research → PRD → plan) that turns a raw idea into four linked files: clarifying questions, deep research, a PRD with non-goals and metrics, and a phased execution plan with mermaid user journey and kill criteria.MIT
- idea-osFive-phase pipeline (triage → clarify → research → PRD → plan) that turns a raw idea into four linked files: clarifying questions, deep research, a PRD with non-goals and metrics, and a phased execution plan with mermaid user journey and kill criteria.MIT
- idea-osFive-phase pipeline (triage → clarify → research → PRD → plan) that turns a raw idea into four linked files: clarifying questions, deep research, a PRD with non-goals and metrics, and a phased execution plan with mermaid user journey and kill criteria.MIT
- ideal-customer-profileIdentify the Ideal Customer Profile (ICP) from research data with demographics, behaviors, JTBD, and needs
- ideal-customer-profileIdentify the Ideal Customer Profile (ICP) from research data with demographics, behaviors, JTBD, and needs. Use when defining your ICP, analyzing PMF survey data, or understanding who your best customers are.
- ideal-customer-profileIdentify the Ideal Customer Profile (ICP) from research data with demographics, behaviors, JTBD, and needs
- ideal-customer-profileIdentify the Ideal Customer Profile (ICP) from research data with demographics, behaviors, JTBD, and needs
- imaging-data-commonsQuery and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.licensed
- implement-methodImplements a new method (scalarizer or aggregator) in TorchJD, starting from the research produced by the research-method skill and following the established file-by-file conventions. Use when a contributor wants to add the actual implementation of a scalarizer or aggregator that has already been investigated and listed in the tracking issues.
- inbox-triageRuns a full inbox triage using the knowledge base created by the 'inbox-setup' skill. Light-intake by design (most invocations skip questions and run with KB-default preferences); asks at most 2 grill-me override questions when invocation is outside normal cadence or includes category-skip intent. Searches recent emails, classifies them via the user's taxonomy, researches new senders, generates recommendations, drafts replies (NEVER sends), delivers a report in the user's preferred format, and updates the knowledge base with learnings. Designed to run on a recurring schedule (1-3x daily) or on demand. Use when the user wants their inbox processed, in any variation (e.g., 'triage my inbox', 'inbox triage', 'check my email', 'run email triage', 'process my inbox', 'what's new in my email', 'handle my email', 'email triage'). Requires the inbox-setup skill to have been run first.MIT
- inbox-triageRuns a full inbox triage using the knowledge base created by the 'inbox-setup' skill. Light-intake by design (most invocations skip questions and run with KB-default preferences); asks at most 2 grill-me override questions when invocation is outside normal cadence or includes category-skip intent. Searches recent emails, classifies them via the user's taxonomy, researches new senders, generates recommendations, drafts replies (NEVER sends), delivers a report in the user's preferred format, and updates the knowledge base with learnings. Designed to run on a recurring schedule (1-3x daily) or on demand. Use when the user wants their inbox processed, in any variation (e.g., 'triage my inbox', 'inbox triage', 'check my email', 'run email triage', 'process my inbox', 'what's new in my email', 'handle my email', 'email triage'). Requires the inbox-setup skill to have been run first.MIT
- inbox-triageRuns a full inbox triage using the knowledge base created by the 'inbox-setup' skill. Light-intake by design (most invocations skip questions and run with KB-default preferences); asks at most 2 grill-me override questions when invocation is outside normal cadence or includes category-skip intent. Searches recent emails, classifies them via the user's taxonomy, researches new senders, generates recommendations, drafts replies (NEVER sends), delivers a report in the user's preferred format, and updates the knowledge base with learnings. Designed to run on a recurring schedule (1-3x daily) or on demand. Use when the user wants their inbox processed, in any variation (e.g., 'triage my inbox', 'inbox triage', 'check my email', 'run email triage', 'process my inbox', 'what's new in my email', 'handle my email', 'email triage'). Requires the inbox-setup skill to have been run first.MIT
- indeed-job-searchScrape job listings from Indeed.com by keyword, location, and country. Returns job title, company, salary, rating, description, benefits, and apply links. Use when user mentions Indeed, Indeed scraper, Indeed jobs, scrape Indeed, job search Indeed, Indeed job listings, extract Indeed data, Indeed job data, get jobs from Indeed, Indeed employment data, job market research Indeed, Indeed salary data, bulk job extraction Indeed, Indeed job scraper, monitor Indeed listings, Indeed hiring data, job postings Indeed, Indeed career search. Also applies to: job market analysis, salary benchmarking from Indeed, competitor hiring monitoring, recruitment data collection, building job databases from Indeed search results.
- industry-researchResearch and tier industries by fit with your profile. Identifies where your skills are most valued and hiring trends are strongest.
- infinite-gratitudeMulti-agent research skill for parallel research execution (10 agents, battle-tested with real case studies).
- infinite-gratitudeMulti-agent research skill for parallel research execution (10 agents, battle-tested with real case studies).
- infographicsCreate professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
- initFills all [FILL:] placeholders across the template to initialize a new research project. Use when setting up a freshly cloned project.
- initInitialize a new research sprint with a question, audience, and constraints.
- ink-postWrite a blog post or article — research the keyword, draft the post, and produce publish-ready content with SEO optimization. Use when asked to "write a blog post", "write about [topic]", "draft an article", or "write a tutorial".MIT
- ink-seoSEO strategy and keyword research — build topic clusters, keyword gap analysis, on-page audit, and prioritized SEO roadmap. Use when asked to "improve our SEO", "do keyword research", "build a topic cluster", or "why aren't we ranking".MIT
- insightsUse when the user wants to analyze research behavior, search hot keywords, most-read papers, reading trends, active workspaces, or unread semantic neighbors.
- interdisciplinary-research跨学科专家研究方法。描述如何从网上的信息去采集、分析最靠谱、最真实的数据并进行分析研究的方法论框架。
- internet-searchWeb research with structured APIs and source hierarchy. Use for documentation lookup and technical answers.
- interview-bookendsWrite article introductions and conclusions for sociology interview research. Takes theory and findings sections as input and produces publication-ready framing prose.
- interview-meConduct an adaptive interactive interview on any topic and produce a structured markdown report, summary, or implementation plan. Use when the user says "interview me", "interview me about", "run an interview on", "help me think through", or wants guided discovery on any subject. Also triggers on "talk me through", "explore X with me", "help me plan Y", or "walk me through my thinking on Z" when the user wants a guided conversation rather than a direct answer. Applies broadly — career decisions, project ideas, product direction, personal goals, research questions, team problems — not just technical topics.
- interview-scriptCreate a structured customer interview script with JTBD probing questions, warm-up, core exploration, and wrap-up sections. Follows The Mom Test principles — no leading questions, no pitching, focus on past behavior. Use when preparing for user interviews, creating interview guides, or planning discovery research.
- investment-analystProfessional investment analysis skill for stock market analysis. Provides 7 core capabilities: (1) Daily market overview, (2) Stock fundamental analysis, (3) Technical chart analysis, (4) Strategy simulation, (5) Risk management, (6) Stock screening, (7) News impact analysis. Use when users need comprehensive stock analysis, investment research, portfolio management, or market analysis tasks.
- job-scoutLoad Scout, the market intelligence analyst for job market research, company evaluation, and opportunity discovery. Use when researching industries, companies, or job postings.
- jobsInspect visible research run state, scheduled research follow-ups when available, and durable watch artifacts. Use when the user asks what's running for a research workflow or wants research-run status.
- journal-of-consumer-researchUse when targeting Journal of Consumer Research (JCR) or deciding whether a consumer-behavior manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.
- kali-docker-pentestingComprehensive pentesting toolkit using Kali Linux Docker container. Provides direct access to 200+ security tools without MCP overhead. Use when conducting security assessments, penetration testing, vulnerability scanning, or security research. Works via direct docker exec commands for maximum efficiency.
- karisCMO brain + execution for AI agents. Brand analysis, competitive intelligence, GEO/AEO visibility audits, AI search optimization, on-page SEO, keyword research, Reddit sentiment monitoring, Reddit content strategy, X/Twitter viral optimization, web search, webpage analysis, content marketing, and growth strategy. Requires API key from app.karis.im/agent.
- keyword-researchUse when expanding seed topics into intent-based clusters and prioritizing
- keyword-research>
- keyword-research-harvestUse when the user wants a reusable local workflow to search scholarly APIs for any topic keywords, build a candidate table, download accessible PDFs or HTML/XML full texts, run a second-pass HTML-to-PDF attempt, and deduplicate the downloaded files. Best for keyword-driven research-article harvesting that should be reproducible and saved into a project folder.
- kitt-create-meta-promptsCreate optimized prompts for agent-to-agent pipelines with research, planning, and execution stages. Use when building prompts that produce outputs for other prompts to consume, or when running multi-stage workflows (research -> plan -> implement).
- large-report-editorEdits and compiles very large Markdown research reports using surgical patches, structure JSON, and legal‑grade citation rules.
- last30daysResearch a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.
- last30days — Rolling Topic Research Skill
- latex-postersCreate professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration, and poster-specific best practices for visual communication.
- lead-research-assistantIdentifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
- leadership-developmentCultivate leadership, team management, mentoring and organizational influence for research leaders.
- lean-uxApply lean thinking to UX: hypothesis-driven design, collaborative sketching, and rapid experiments instead of heavy deliverables. Use when the user mentions "Lean UX", "design hypothesis", "UX experiment", "collaborative design", "outcome over output", "design studio method", "assumption mapping", "lightweight research", "too much design documentation", "design faster as a team", or "get the team designing together". Also trigger when reducing design-documentation overhead, getting cross-functional teams to co-design, or running fast usability experiments. Covers hypothesis statements, MVPs for UX, and cross-functional collaboration. For Build-Measure-Learn, see lean-startup. For usability audits, see ux-heuristics.MIT
- linkedin-prospectingLinkedIn prospecting and lead generation using Crispy MCP tools. Use when the user wants to search LinkedIn for people, companies, or posts, build lead lists, research prospects, find decision-makers, or do competitive research. Triggers include "find leads", "search LinkedIn", "build a prospect list", "research this company", "find people who", "look up this person on LinkedIn", "get their LinkedIn profile", or any task requiring LinkedIn search and discovery.MIT
- linter-setup[Quality] Use when you need to research and configure code quality tooling for any tech stack — linters, formatters, static analysis, pre-commit hooks, and CI gates.
- lissom-planDispatches to lissom-planner agent to produce an implementation plan given an explicit task_dir, which contains a specification or research document.
- literature-reviewConduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).MIT license
- literature-reviewConducts systematic literature reviews with academic rigor. Use when you need to understand existing research on a topic, identify research gaps, trace the evolution of ideas, or build a comprehensive bibliography. Triggers on phrases like "literature review", "what does research say", "find papers on", "academic sources for", "systematic review of".MIT license
- literature-reviewerReviews incoming research papers against the AIOS Sandbox Ground Truth and produces draft reports.
- litreviewAcademic literature orientation skill that searches papers via Consensus, builds a strategic search plan using PICO (default) or SPIDER / Decomposition / hybrid as fallbacks, and synthesizes findings into a formatted Word (.docx) research guide. Grill-me intake (research question specificity + framework hint + tentative depth) before the recon search; a second forcing checkpoint after Phase 2 confirms framework + sub-areas + depth before searches consume budget. Configurable depth (5/10/20 queries) controls coverage vs. speed. Output is a 'launching pad' — an orientation guide that lets a researcher dive in confidently, not a finished review. Use when the user starts literature-oriented research (e.g., 'litreview on [topic]', 'literature review on [topic]', 'I'm starting a literature review on X', 'I'm writing a paper on X', 'help me research X', 'I'm doing research on X', 'can you help me research X'). Do NOT use for single one-off paper searches wanting a quick list — that's a plain Consensus search.MIT
- litreviewAcademic literature orientation skill that searches papers via Consensus, builds a strategic search plan using PICO (default) or SPIDER / Decomposition / hybrid as fallbacks, and synthesizes findings into a formatted Word (.docx) research guide. Grill-me intake (research question specificity + framework hint + tentative depth) before the recon search; a second forcing checkpoint after Phase 2 confirms framework + sub-areas + depth before searches consume budget. Configurable depth (5/10/20 queries) controls coverage vs. speed. Output is a 'launching pad' — an orientation guide that lets a researcher dive in confidently, not a finished review. Use when the user starts literature-oriented research (e.g., 'litreview on [topic]', 'literature review on [topic]', 'I'm starting a literature review on X', 'I'm writing a paper on X', 'help me research X', 'I'm doing research on X', 'can you help me research X'). Do NOT use for single one-off paper searches wanting a quick list — that's a plain Consensus search.MIT
- litreviewAcademic literature orientation skill that searches papers via Consensus, builds a strategic search plan using PICO (default) or SPIDER / Decomposition / hybrid as fallbacks, and synthesizes findings into a formatted Word (.docx) research guide. Grill-me intake (research question specificity + framework hint + tentative depth) before the recon search; a second forcing checkpoint after Phase 2 confirms framework + sub-areas + depth before searches consume budget. Configurable depth (5/10/20 queries) controls coverage vs. speed. Output is a 'launching pad' — an orientation guide that lets a researcher dive in confidently, not a finished review. Use when the user starts literature-oriented research (e.g., 'litreview on [topic]', 'literature review on [topic]', 'I'm starting a literature review on X', 'I'm writing a paper on X', 'help me research X', 'I'm doing research on X', 'can you help me research X'). Do NOT use for single one-off paper searches wanting a quick list — that's a plain Consensus search.MIT
- llm-dash-updateUse this skill to perform the daily LLM-Dash dashboard update. Research new LLM releases and benchmark updates (Exa preferred) since the last recorded changelog, apply a structured diff to data/dash.sqlite, write changelogs/YYYY-MM-DD.md with a required Run Metadata footer, and record run metadata (tokens, cost, duration, word count) in the run_metrics table + data/run_metrics.csv.
- llm-obsidian-wikiKarpathy's LLM Wiki pattern as a Claude Code plugin — agent-first edition. Four task-oriented agents (Researcher / Advisor / Curator / Scribe) maintain a structured Obsidian vault that compounds knowledge across sessions. Privacy-first, local-only by default, citations + confidence + supersession baked in. Keywords: llm-wiki, obsidian-plugin, knowledge-base, claude-code, pkm, llm-memory, agent-first.
- llm-wikiUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.MIT
- llm-wikiUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.MIT
- llm-wikiUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.MIT
- llm-wiki-setupCo-create a personal investment-research LLM Wiki (Andrej Karpathy's pattern) where the user's OWN analysis framework becomes a living CLAUDE.md — by interviewing them, NOT by handing them a template. Use whenever the user wants to build a compounding research knowledge base, 投研第二大脑, 投研知识库, or 个人投研 wiki; instantiate Karpathy's LLM Wiki gist for finance/investing; turn their stock-picking, analyst-tracking, or earnings-watching workflow into a structured markdown vault; or build a wiki tracking companies / industries / macro / analysts over time. Pure markdown + wikilinks, NO RAG / vector DB (Karpathy's core idea — do not over-engineer). Also triggers for ingesting research reports / earnings calls / expert notes into an existing wiki, and for post-earnings prediction→fulfillment reviews. Core value = extracting the user's personal investment preferences into THEIR OWN schema, never imposing a standard one.
- ln-310-multi-agent-validatorUse when validating Stories, plans, or context through the evaluation platform with mandatory research, parallel evidence lanes, sequential merge, and bounded refinement.MIT
- local-deep-research-guideDeep research agent searching 10+ sources with local or cloud LLMs
- loki-modeALWAYS use this when the request matches Loki Mode: Version 2.35.0 | PRD to Production | Zero Human Intervention > Research-enhanced: OpenAI SDK, DeepMind, Anthropic, AWS Bedrock, Agent SDK, HN Production (2025)
- loki-modeVersion 2.35.0 | PRD to Production | Zero Human Intervention > Research-enhanced: OpenAI SDK, DeepMind, Anthropic, AWS Bedrock, Agent SDK, HN Production (2025)
- longevity-scholarThis skill should be used when users explicitly request academic papers, recent research, most cited research, or scholarly articles about longevity, aging, lifespan extension, or related topics. Triggers on phrases like "find papers on", "latest research about", "most cited studies on", or "academic literature about" in the context of longevity.
- loopStart an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly). Uses CronCreate for scheduling. Use when the user runs /ar:loop or asks to run an autoresearch experiment continuously on a schedule.
- loopStart an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly). Uses CronCreate for scheduling. Use when the user runs /ar:loop or asks to run an autoresearch experiment continuously on a schedule.
- loopStart an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly). Uses CronCreate for scheduling. Use when the user runs /ar:loop or asks to run an autoresearch experiment continuously on a schedule.MIT
- major-partnership-insiderUse this skill to investigate potential major partnership announcements for a public company within the next 30-120 days by cross-validating unusual options flow, institutional filings, SEC disclosures, hiring, capex, operational readiness, and catalyst calendars. Use only public or user-provided data; produce probabilistic research, not trading instructions.
- malware-analystExpert malware analyst specializing in defensive malware research, threat intelligence, and incident response. Masters sandbox analysis, behavioral analysis, and malware family identification.
- malware-analystExpert malware analyst specializing in defensive malware research, threat intelligence, and incident response. Masters sandbox analysis, behavioral analysis, and malware family identification.
- malware-analystExpert malware analyst specializing in defensive malware research, threat intelligence, and incident response. Masters sandbox analysis, behavioral analysis, and malware family identification.
- Market Research Brief>-
- market_niche_submarket_generatorGenerates a specific quantity of distinct subniches or submarkets within a parent category to aid in market research and idea generation.
- market-researchUse when doing upstream market-research methodology — sizing a market as TAM/SAM/SOM computed BOTH top-down and bottoms-up (never a single unsourced number), planning a survey sample size with finite-population correction and per-segment minimums, or scoring candidate market segments against Kotler's measurable/substantial/accessible/differentiable/actionable criteria. Outputs always show the method and the assumptions. For market-research analysts and product-marketing at the sizing/survey/segmentation moment. Distinct from marketing-skill (campaign analytics, attribution, demand-gen) — this is the evidence-building methodology, not live-campaign optimization.MIT
- market-researchUse when doing upstream market-research methodology — sizing a market as TAM/SAM/SOM computed BOTH top-down and bottoms-up (never a single unsourced number), planning a survey sample size with finite-population correction and per-segment minimums, or scoring candidate market segments against Kotler's measurable/substantial/accessible/differentiable/actionable criteria. Outputs always show the method and the assumptions. For market-research analysts and product-marketing at the sizing/survey/segmentation moment. Distinct from marketing-skill (campaign analytics, attribution, demand-gen) — this is the evidence-building methodology, not live-campaign optimization.MIT
- market-researchUse when doing upstream market-research methodology — sizing a market as TAM/SAM/SOM computed BOTH top-down and bottoms-up (never a single unsourced number), planning a survey sample size with finite-population correction and per-segment minimums, or scoring candidate market segments against Kotler's measurable/substantial/accessible/differentiable/actionable criteria. Outputs always show the method and the assumptions. For market-research analysts and product-marketing at the sizing/survey/segmentation moment. Distinct from marketing-skill (campaign analytics, attribution, demand-gen) — this is the evidence-building methodology, not live-campaign optimization.MIT
- market-research-reportsGenerate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with research-lookup for data gathering, and multi-framework strategic analysis including Porter Five Forces, PESTLE, SWOT, TAM/SAM/SOM, and BCG Matrix.MIT license
- market-research-synthesizerSynthesizes market research, interviews, and notes into findings, themes, and recommendations. Use when the user asks to summarize or distill market research.
- marketing-strategy-pmmProduct marketing skill for positioning, GTM strategy, competitive intelligence, and product launches. Use when the user asks about product positioning, go-to-market planning, competitive analysis, target audience definition, ICP definition, market research, launch plans, or sales enablement. Covers April Dunford positioning, ICP definition, competitive battlecards, launch playbooks, and international market entry. Produces deliverables including positioning statements, battlecard documents, launch plans, and go-to-market strategies.
- marketing-strategy-pmmProduct marketing skill for positioning, GTM strategy, competitive intelligence, and product launches. Use when the user asks about product positioning, go-to-market planning, competitive analysis, target audience definition, ICP definition, market research, launch plans, or sales enablement. Covers April Dunford positioning, ICP definition, competitive battlecards, launch playbooks, and international market entry. Produces deliverables including positioning statements, battlecard documents, launch plans, and go-to-market strategies.
- marketing-strategy-pmmProduct marketing skill for positioning, GTM strategy, competitive intelligence, and product launches. Use when the user asks about product positioning, go-to-market planning, competitive analysis, target audience definition, ICP definition, market research, launch plans, or sales enablement. Covers April Dunford positioning, ICP definition, competitive battlecards, launch playbooks, and international market entry. Produces deliverables including positioning statements, battlecard documents, launch plans, and go-to-market strategies.MIT
- master-control-expertMaster Control Expert (MCE): classify tasks (A–H), run an intake checklist, then produce executable plans and concrete deliverables using a prompt catalog for logic, math/theory, engineering, mechanism design, writing, legal/compliance, research guides, and event PM.
- medical-specialty-briefsGenerate daily or on-demand medical research briefs for any medical specialty. Searches latest research from top-tier journals, delivers concise summaries with 1-sentence takeaways, images when available, and direct links. Use when user asks for medical news, research updates, journal briefs, or specialty-specific medical updates for specialties like endocrinology, cardiology, oncology, neurology, etc.
- meeting-prepPrepare for upcoming meetings — pulls Cal.com bookings, researches participants, audits previous sessions from Obsidian vault, and creates prep notes. Also links prep notes to post-meeting session notes.
- meeting-prepPrepare briefings for today's meetings \u2014 attendee research, email\MIT
- memoire-design-toolingUse when a Codex task involves UI design, Figma, design systems, shadcn/ui, Tailwind, Atomic Design, research synthesis, component specs, design audits, or design-to-code generation.
- memorize-subjectResearch a subject with parallel read-only agents, then store durable facts in TraceDecay memory.
- mercadolibre-auto-research|
- messari-deep-researchAsync deep-research report workflow using Messari AI. Starts a long-form research job, polls until complete, and returns a comprehensive report on any crypto topic, asset, or protocol. Cost varies; typically $0.50–$2.00 USDC.
- methodology-skills12 research methodology skills. Trigger: study design, methodology selection, scientific reasoning, mentoring. Design: rigorous methods frameworks covering qualitative, quantitative, and mixed approaches.
- migrateMigration workflow - research → analyze → plan → implement → review
- mom-testTalk to customers without leading them using Mom Test rules: discuss their life not your idea, ask about specifics in the past, and talk less. Use when the user mentions "customer interviews", "validate my idea", "users say they want it but dont buy", "leading questions", "The Mom Test", "customer feedback bias", "interview script", "how do I interview customers", "am I asking leading questions", or "is my customer feedback reliable". Also trigger when preparing user-research questions, interpreting ambiguous feedback, or designing customer-discovery that avoids false positives. Covers commitment and advancement, avoiding compliments, and extracting signal from noise. For product-market fit, see jobs-to-be-done. For rapid prototype testing, see design-sprint.MIT
- multi-source-web-researcherWhen the user needs to gather information from multiple sources including web searches, academic databases (arXiv), PDF documents, and professional profiles. This skill is triggered by research tasks requiring parallel information gathering, cross-referencing multiple sources, or when dealing with academic/professional data that exists across different platforms. It handles concurrent searches, source verification, and data consolidation from diverse information repositories.
- name-auditionRun candidate product, brand, company, or benchmark names through an audition — authoritative domain-availability checks, collision research across SaaS/GitHub/packages/the target adjacent domain, a light trademark and ownability read, a ranked callback list, and an interactive casting report of finalists with optional draft branding. Use when the user is naming a product, app, company, feature, or benchmark; asks "is this name taken", "check these domains", "help me pick a name", "is X available", "name my product", "brand name research", "audition names"; or wants to compare and pressure-test a shortlist of candidate names before committing.
- nanoresearch-planningProduce an experiment blueprint from a research hypothesis
- native-web-searchTrigger native web search. Use when you need quick internet research with concise summaries and full source URLs.
- neurokit2Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.MIT license
- notebooklmGuide for managing Google NotebookLM from the command line using nlm CLI. Use when the user wants to create notebooks, manage sources, generate audio overviews, or mentions NotebookLM, nlm, notebook management, or research organization.
- notebooklmNotebookLM CLI wrapper via `node {baseDir}/scripts/notebooklm.mjs`. Use for auth, notebooks, chat, sources, notes, sharing, research, and artifact generation/download.
- notion-meeting-intelligencePrepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.
- novelty-checkVerify research idea novelty against recent literature. Use when user says \"查新\", \"novelty check\", \"有没有人做过\", \"check novelty\", or wants to verify a research idea is novel before implementing.
- nqs-sqd-research>licensed
- obsidian-research-logUse this skill when the user is discussing daily research work, TODOs, plans, standups, meetings, milestones, or general project progress that should be reflected in Obsidian daily notes, plan notes, and hub updates.
- office-meeting-prep会议前调研：参会人/公司背景、议程建议、谈话要点；web_fetch + office-research
- office-research调研摘要、竞品/方案对比、资料摘录；结论先行并标注信息来源与可信度
- omics-target-evidence-mapperAggregate public target-level evidence across omics and translational sources for research triage.MIT
- onboarding-wizard-designDesigning first-run product onboarding wizards that get users to the ah-ha moment without overwhelming them. Step architecture, progressive disclosure, escape hatches, completion incentives, drop-off measurement. Honest about tutorial-overload (dump everything upfront), skip-friendly-empty (skipped onboarding leads to abandoned product), and earned-progressive-disclosure (right things at the right moments) patterns. Triggers on onboarding wizard, product onboarding, first-run experience, signup flow, activation flow, FRX, time-to-value, ah-ha moment design. Also triggers when activation rates are low, when users skip onboarding and never return, when onboarding flows are being scoped for the first time, or when audience research shows users not finding key features.
- open-access-scoutUse when finding open access journals, checking journal policies, or identifying predatory publishers. Helps researchers locate legitimate open access venues and avoid publication scams.MIT
- open-knowledge-pack-knowledge-baseHow to work in a Knowledge Base project (the `knowledge-base` starter pack). Read when the project has the three-layer source-grounded layout — `external-sources/` → `research/` → `articles/` — wired to the `workflow` MCP tool's ingest / research / consolidate kinds. Carries the pack's workflow, per-folder rules, status flows, and log discipline so this guidance does NOT live inside template bodies or log.md. Complements the platform `open-knowledge` skill; does not replace it.
- open-notebookSelf-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis. Use when organizing research materials into notebooks, ingesting diverse content sources (PDFs, videos, audio, web pages, Office documents), generating AI-powered notes and summaries, creating multi-speaker podcasts from research, chatting with documents using context-aware AI, searching across materials with full-text and vector search, or running custom content transformations. Supports 16+ AI providers including OpenAI, Anthropic, Google, Ollama, Groq, and Mistral with complete data privacy through self-hosting.MIT
- openakita/skills@baidu-deep-researchQianfan Deep Research Agent for complex research tasks. Combines information retrieval, multi-source analysis, content synthesis, and report generation. Use when user needs in-depth research, analysis reports, or comprehensive investigation on complex topics.MIT
- openakita/skills@baidu-scholarBaidu Scholar academic search skill. Search academic papers, journals, and knowledge resources. Use when user needs academic literature, research papers, or scholarly information.MIT
- openakita/skills@baidu-scholarBaidu Scholar academic search skill. Search academic papers, journals, and knowledge resources. Use when user needs academic literature, research papers, or scholarly information.MIT
- openalex-databaseQuery and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.Unknown
- opencode-developer-researcherResearch OpenCode server and SDK documentation for debugging or integration work.
- openevidence-core-workflow-bExecute OpenEvidence secondary workflow: DeepConsult Research Synthesis.MIT
- ota_strategy_research_loop策略研究、回放与评估在主链路中的位置；tool_strategy_research 与 config/strategy_research.yaml 入口。
- PAIUpgradeGenerate prioritized PAI upgrade recommendations via 4 parallel threads: Thread 0 (prior-work audit — reads current Algorithm, PATTERNS.yaml, hooks, settings, recent ISAs, and KNOWLEDGE to assign Prior Status tags), Thread 1 (user context — TELOS goals, active projects, PAI system state), Thread 2 (source collection — Anthropic releases, YouTube channels, GitHub trending, custom sources), Thread 3 (internal reflections — Algorithm execution Q1/Q2 patterns). Output format: Discoveries table ranked by interestingness, then tiered Recommendations (CRITICAL/HIGH/MEDIUM/LOW) each with Prior Status (NEW/PARTIAL/DISCUSSED/REJECTED/DONE), then full Technique Details with before/after code. Every recommendation cites file:line evidence from Thread 0 — already-implemented items go to Skipped, never re-surfaced. Workflows: Upgrade, MineReflections, AlgorithmUpgrade, ResearchUpgrade, FindSources, TwitterBookmarks. USE WHEN upgrade, system upgrade, check Anthropic, new Claude features, algorithm upgrade, PAI upgrade, check bookmarks, scan bookmarks, twitter bookmarks, X bookmarks, bookmarks for upgrades, what have I bookmarked, mine reflections.
- paper-humanizerAcademic text polisher and humanizer for Chinese and English research writing. Removes AI-like patterns while preserving factual accuracy. Use when polishing academic text, reducing AI-generated patterns in papers/theses, improving naturalness of research writing while maintaining data integrity, or enhancing scholarly tone without fabricating facts. Supports both Chinese (中文) and English academic texts with configurable tone, field-specific terminology, and strict factuality controls.
- paper-lookupSearch 10 academic paper databases via REST APIs for research papers, preprints, and scholarly articles. Covers PubMed, PMC (full text), bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, CORE, Unpaywall. Use when searching for papers, citations, DOI/PMID lookups, abstracts, full text, open access, preprints, citation graphs, author search, or any scholarly literature query. Triggers on mentions of any supported database or requests like "find papers on X" or "look up this DOI".
- paper-writingTurn research findings into a polished paper-style draft with sections, equations, and citations. Use when the user asks to write a paper, draft a report, write up findings, or produce a technical document from collected research.
- paper-writingTurn research findings into a polished paper-style draft with sections, equations, and citations. Use when the user asks to write a paper, draft a report, write up findings, or produce a technical document from collected research.
- paper-writingTurn research findings into a polished paper-style draft with sections, equations, and citations. Use when the user asks to write a paper, draft a report, write up findings, or produce a technical document from collected research.
- paper-writingTurn research findings into a polished paper-style draft with sections, equations, and citations. Use when the user asks to write a paper, draft a report, write up findings, or produce a technical document from collected research.
- paperflow-pipeline-notesUse when the user wants to create or update a Chinese deep paper note by driving the external paperflow repository and a local research-notes workspace.
- papers-skillSkill for academic research workflows: search Semantic Scholar (200M+ papers), inspect citations, download arXiv PDFs, and extract PDF text. Bundles a self-contained Python CLI.MIT
- papers-skillSkill for academic research workflows: search Semantic Scholar (200M+ papers), inspect citations, download arXiv PDFs, and extract PDF text. Bundles a self-contained Python CLI.MIT
- parallel-ai-searchWeb search + URL extraction via Parallel Search/Extract APIs. Use for up-to-date research, domain-scoped searching, and extracting LLM-ready excerpts/markdown from URLs.
- parallel-webAll-in-one web toolkit powered by parallel-cli, with a strong emphasis on academic and scientific sources. Use this skill whenever the user needs to search the web, fetch/extract URL content, enrich data with web-sourced fields, or run deep research reports. Covers: web search (fast lookups, research, current info — prioritizing peer-reviewed papers, preprints, and scholarly databases), URL extraction (fetching pages, articles, academic PDFs), bulk data enrichment (adding fields to CSV/lists from the web), and deep research (exhaustive multi-source reports grounded in academic literature). Also handles setup, status checks, and result retrieval. Use this skill for ANY web-related task — even if the user doesn't mention 'parallel' or 'web' explicitly. If they want to look something up, fetch a page, enrich a dataset, investigate a topic, find academic papers, check citations, or review scientific literature, this is the skill to use.
- parallel-web-searchPerforms agentic web search using Parallel AI. Use when user needs current web information, research, fact-checking, news, or real-time data beyond training cutoff.
- pdf-generationProfessional PDF generation from markdown using Pandoc with Eisvogel template and EB Garamond fonts. Use when converting markdown to PDF, creating white papers, research documents, marketing materials, or technical documentation. Supports both English and Russian documents with professional typography and color-coded themes. Mobile-optimized layout (6x9) by default for Telegram bot context, desktop/print layout (A4) for other contexts.
- peer-reviewSimulate a tough but constructive peer review of an AI research artifact. Use when the user asks for a review, critique, feedback on a paper or draft, or wants to identify weaknesses before submission.
- peer-reviewSimulate a tough but constructive peer review of an AI research artifact. Use when the user asks for a review, critique, feedback on a paper or draft, or wants to identify weaknesses before submission.
- peer-reviewSimulate a tough but constructive peer review of an AI research artifact. Use when the user asks for a review, critique, feedback on a paper or draft, or wants to identify weaknesses before submission.
- peer-reviewSimulate a tough but constructive peer review of an AI research artifact. Use when the user asks for a review, critique, feedback on a paper or draft, or wants to identify weaknesses before submission.
- perplexity-2Deep search via Perplexity API. Three modes: search (quick facts), reason (complex analysis), research (in-depth reports). Returns AI-grounded answers with citations.
- perplexity-core-workflow-bExecute Perplexity multi-turn research sessions and batch query pipelines.MIT
- personaGenerate data-driven user personas for UX research and product design. Usage: /persona generate [options]
- personaGenerate data-driven user personas for UX research and product design. Usage: /persona generate [options]MIT
- persona-pipelineGenerate AI agent personas with authentic backstories, demographics, and personality traits for TraitorSim. Use when creating new characters, generating personas, building character libraries, or when asked about persona generation, backstory creation, or character development. Orchestrates Deep Research + Claude synthesis pipeline.
- persona-researcherOrganize research — manage references, notes, and collaboration.
- pinchbenchRun PinchBench benchmarks to evaluate OpenClaw agent performance across real-world tasks. Use when testing model capabilities, comparing models, submitting benchmark results to the leaderboard, or checking how well your OpenClaw setup handles calendar, email, research, coding, and multi-step workflows.
- pinchbenchRun PinchBench benchmarks to evaluate OpenClaw agent performance across real-world tasks. Use when testing model capabilities, comparing models, submitting benchmark results to the leaderboard, or checking how well your OpenClaw setup handles calendar, email, research, coding, and multi-step workflows.
- planning-promptsComprehensive skill for project planning and prompt engineering. Covers hierarchical plans (briefs, roadmaps, phases), Claude-to-Claude meta-prompts, and multi-stage workflows. Use when: planning, prompt creation, agentic pipeline work, project roadmap, meta-prompts, research to implement workflow.
- planning-with-filesTransforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage. Use when starting complex tasks, multi-step projects, research tasks, or when the user mentions planning, organizing work, tracking progress, or wants structured output.
- planning-with-filesImplements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls. Now with automatic session recovery after /clear.
- pptx-postersCreate research posters using HTML/CSS that can be exported to PDF or PPTX. Use this skill ONLY when the user explicitly requests PowerPoint/PPTX poster format. For standard research posters, use latex-posters instead. This skill provides modern web-based poster design with responsive layouts and easy visual integration.MIT license
- Practitioner Research SkillPractitioner methodology for longitudinal case study research, evidence-based documentation, and publication-ready academic writing in AI-assisted development.
- presentGenerate interactive HTML presentations with professional ElevenLabs voiceover narration synced to slides. Supports dual article/slides mode, scroll-reveal animations, GPT Image 2 illustrations, and configurable detail levels. Use this skill when the user wants to create a presentation, slide deck, narrated briefing, research report with voiceover, or any content that should be presentable as both a readable article and a navigable slide deck. Also triggers on "make a presentation", "create slides", "present this", "narrated deck", "voiceover slides", "briefing with audio", or requests to turn research/notes into a shareable presentation. Works with any content — research findings, meeting summaries, proposals, educational material.
- process-builderScaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
- product-manager-toolkitComprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use when prioritizing features, synthesizing user research, writing requirement documentation, or developing product strategy.
- product-manager-toolkitComprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use when prioritizing features, synthesizing user research, writing requirement documentation, or developing product strategy.MIT
- product-manager-toolkitComprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use when prioritizing features, synthesizing user research, writing requirement documentation, or developing product strategy.
- product-researchUse when planning and synthesizing product/user research as a method-and-repository discipline — selecting the right method for the goal (generative interviews vs usability test vs concept test vs validation), computing method-based saturation/sample size with an explicit confidence level, or synthesizing coded observations into insights while flagging single-source anecdotes. Never fabricates user insight; an insight requires recurrence across independent participants. Distinct from product-team/ux-researcher-designer (persona/journey artifacts), product-discovery (discovery-sprint planning), and experiment-designer (live A/B) — this is the research-ops method + insight-repository layer.MIT
- product-researchUse when planning and synthesizing product/user research as a method-and-repository discipline — selecting the right method for the goal (generative interviews vs usability test vs concept test vs validation), computing method-based saturation/sample size with an explicit confidence level, or synthesizing coded observations into insights while flagging single-source anecdotes. Never fabricates user insight; an insight requires recurrence across independent participants. Distinct from product-team/ux-researcher-designer (persona/journey artifacts), product-discovery (discovery-sprint planning), and experiment-designer (live A/B) — this is the research-ops method + insight-repository layer.MIT
- product-researchUse when planning and synthesizing product/user research as a method-and-repository discipline — selecting the right method for the goal (generative interviews vs usability test vs concept test vs validation), computing method-based saturation/sample size with an explicit confidence level, or synthesizing coded observations into insights while flagging single-source anecdotes. Never fabricates user insight; an insight requires recurrence across independent participants. Distinct from product-team/ux-researcher-designer (persona/journey artifacts), product-discovery (discovery-sprint planning), and experiment-designer (live A/B) — this is the research-ops method + insight-repository layer.MIT
- product-researchUse when conducting deep market research for a product — competitors, market sizing (TAM/SAM/SOM), customer personas, technology radar, and a sourced MarketResearch brief. Triggers on "market research", "competitive analysis", "research this product idea", or the start of the product-development workflow.
- product-skillsRouter/index for the 12 product skills bundled in this plugin (RICE prioritization, OKRs, UX research, design tokens, competitive teardown, analytics, experiments, discovery, roadmaps, spec-to-repo, landing pages, SaaS scaffolding). Use when a product request doesn't obviously match one skill and you need to pick the right one (e.g., 'help me prioritize features', 'plan a product experiment').MIT
- product-skillsRouter/index for the 12 product skills bundled in this plugin (RICE prioritization, OKRs, UX research, design tokens, competitive teardown, analytics, experiments, discovery, roadmaps, spec-to-repo, landing pages, SaaS scaffolding). Use when a product request doesn't obviously match one skill and you need to pick the right one (e.g., 'help me prioritize features', 'plan a product experiment').MIT
- product-skillsRouter/index for the 12 product skills bundled in this plugin (RICE prioritization, OKRs, UX research, design tokens, competitive teardown, analytics, experiments, discovery, roadmaps, spec-to-repo, landing pages, SaaS scaffolding). Use when a product request doesn't obviously match one skill and you need to pick the right one (e.g., 'help me prioritize features', 'plan a product experiment').MIT
- progressive-estimationEstimate AI-assisted and hybrid human+agent development work with research-backed PERT statistics and calibration feedback loops
- progressive-estimationEstimate AI-assisted and hybrid human+agent development work with research-backed PERT statistics and calibration feedback loops
- protocol-reverse-engineeringComprehensive techniques for capturing, analyzing, and documenting network protocols for security research, interoperability, and debugging.
- protocol-reverse-engineeringComprehensive techniques for capturing, analyzing, and documenting network protocols for security research, interoperability, and debugging.
- protocol-reverse-engineeringComprehensive techniques for capturing, analyzing, and documenting network protocols for security research, interoperability, and debugging.
- publication-prepPrepare manuscripts for journal submission. Use when: (1) Writing research papers, (2) Selecting target journals, (3) Formatting manuscripts, (4) Ensuring reporting guideline compliance, (5) Preparing submission materials.
- pulseMulti-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend/sentiment/problems/opportunities/comparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Use when the user requests multi-source recency intelligence on a topic (e.g., 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]'), and for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.MIT
- pulseMulti-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend/sentiment/problems/opportunities/comparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Use when the user requests multi-source recency intelligence on a topic (e.g., 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]'), and for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.MIT
- pulseMulti-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend/sentiment/problems/opportunities/comparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Use when the user requests multi-source recency intelligence on a topic (e.g., 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]'), and for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.MIT
- pyzoteroInteract with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this skill when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.MIT License
- pyzoteroInteract with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this skill when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.MIT License
- pyzoteroInteract with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this skill when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.MIT License
- qualitative-researchUse when conducting customer discovery interviews, user research, surveys, focus groups, or observational research requiring rigorous analysis - provides systematic 6-phase framework with mandatory bias prevention (reflexivity, intercoder reliability, disconfirming evidence search) and reproducible methodology; peer to hypothesis-testing for qualitative vs quantitative validation
- qutipQuantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, decoherence, quantum optics, or cavity QED. Best for physics research, open system dynamics, and educational simulations. NOT for circuit-based quantum computing—use qiskit, cirq, or pennylane for quantum algorithms and hardware execution.licensed
- rag-agentPipeline memory and continuous learning system using RAG (Retrieval-Augmented Generation). Stores all pipeline artifacts (research, ADRs, solutions, results) in vector database for semantic retrieval. Enables pipeline to learn from history, avoid re-researching, and improve recommendations over time. Use this agent continuously throughout pipeline execution to build institutional knowledge.
- recommendGet research-backed architecture advice for your knowledge system. Describe your use case, constraints, and goals — get specific recommendations grounded in TFT research with rationale for each decision. Triggers on "/recommend", "what would you recommend", "architecture advice", "knowledge system for".
- red-team-toolsImplement proven methodologies and tool workflows from top security researchers for effective reconnaissance, vulnerability discovery, and bug bounty hunting. Automate common tasks while maintaining thorough coverage of attack surfaces.
- red-team-toolsImplement proven methodologies and tool workflows from top security researchers for effective reconnaissance, vulnerability discovery, and bug bounty hunting. Automate common tasks while maintaining thorough coverage of attack surfaces.
- red-team-toolsImplement proven methodologies and tool workflows from top security researchers for effective reconnaissance, vulnerability discovery, and bug bounty hunting. Automate common tasks while maintaining thorough coverage of attack surfaces.
- reddit-competitor-analysis-api-skillThis skill helps users extract structured data from Reddit posts and comments via BrowserAct API. Agent should proactively apply this skill when users express needs like analyzing competitor mentions on Reddit, tracking brand sentiment in Reddit comments, extracting Reddit discussions for market research, finding popular Reddit posts by keywords, monitoring community feedback on specific topics, gathering user reviews from Reddit threads, searching for Reddit posts within a specific date range, sorting Reddit discussions by relevance or hotness, compiling nested Reddit comments for deep analysis, building a structured dataset of Reddit conversations, discovering trending topics in specific subreddits, or monitoring social media activity for specific brands on Reddit.
- report-writingGuidelines for writing well-structured, cited research reports
- researchResearch libraries, APIs, and patterns using searchGitHub and Exa tools. Finds real-world implementations and saves structured reports to docs/research/. Use when investigating technologies, debugging issues, or comparing options.
- researchSearch for academic papers, references, and methodology literature using Perplexity MCP
- researchDefault entry point for any research request — a hybrid router that classifies the question deterministically and either delegates to a specialist research skill (pulse for trends/sentiment, grants for NIH funding, litreview for academic literature, syllabus for course reading, patent for prior-art + IP landscape, dossier for entity research) or runs its own plan-decompose-multi-source-search-synthesize-cite fallback workflow when no specialist matches. Always surfaces the routing decision so users can override. Use when the user makes any research request that doesn't obviously match a more-specific specialist skill (e.g., "research [topic]", "look into [topic]", "what do we know about [topic]", "investigate [topic]", "find me information on [topic]", "do some research on [topic]", "I need to understand [topic]"). Output is a markdown briefing (default) or .docx document (on request) with full citations and an audit log.
- researchDefault entry point for any research request — a hybrid router that classifies the question deterministically and either delegates to a specialist research skill (pulse for trends/sentiment, grants for NIH funding, litreview for academic literature, syllabus for course reading, patent for prior-art + IP landscape, dossier for entity research) or runs its own plan-decompose-multi-source-search-synthesize-cite fallback workflow when no specialist matches. Always surfaces the routing decision so users can override. Use when the user makes any research request that doesn't obviously match a more-specific specialist skill (e.g., "research [topic]", "look into [topic]", "what do we know about [topic]", "investigate [topic]", "find me information on [topic]", "do some research on [topic]", "I need to understand [topic]"). Output is a markdown briefing (default) or .docx document (on request) with full citations and an audit log.MIT
- researchDefault entry point for any research request — a hybrid router that classifies the question deterministically and either delegates to a specialist research skill (pulse for trends/sentiment, grants for NIH funding, litreview for academic literature, syllabus for course reading, patent for prior-art + IP landscape, dossier for entity research) or runs its own plan-decompose-multi-source-search-synthesize-cite fallback workflow when no specialist matches. Always surfaces the routing decision so users can override. Use when the user makes any research request that doesn't obviously match a more-specific specialist skill (e.g., "research [topic]", "look into [topic]", "what do we know about [topic]", "investigate [topic]", "find me information on [topic]", "do some research on [topic]", "I need to understand [topic]"). Output is a markdown briefing (default) or .docx document (on request) with full citations and an audit log.
- researchHigh-level concept research grounded in best practices and top 1% PM thinking.
- researchDeep research — market analysis, competitor scan, technical comparison, documentation search. Parallel agents for speed. Use when researching anything, comparing options, market analysis, or /research.
- researchRun a research task to generate documentation
- researchRun a research task to generate documentation
- researchConstrained internet research with source tracking for fiction and nonfiction projects
- researchMulti-source comprehensive research using perplexity-researcher, claude-researcher, and gemini-researcher agents. Three modes - Quick (3 agents), Standard (9 agents), Extensive (24 agents with be-creative skill). USE WHEN user says 'do research', 'quick research', 'extensive research', 'find information about', 'investigate', 'analyze trends', 'current events', or any research-related request.
- researchLean やそのライブラリの機能、構文、タクティク、コード例、仕様、背景理論を調査するときに使用する。
- researchTrace execution paths and document how code actually behaves. Use when you need to understand how features work, walk through code flows, explain component behavior, trace where data comes from, understand relationships between components, or audit for orphaned events and dead code.
- researchRun a research task to generate documentation
- researchResearch libraries, APIs, and patterns using searchGitHub and Exa tools. Finds real-world implementations and saves structured reports to docs/research/. Use when investigating technologies, debugging issues, or comparing options.
- researchRun a research task to generate documentation
- researchResearch a topic on the web with Linkup agentic search, returning a synthesized answer with inline numbered citations to live web sources.
- researchPerforms deep research on a topic via `deep_research`. Simulates a multi-step research process and returns a comprehensive research result as a string.
- researchRun a research task to generate documentation
- researchConduct preliminary research on a topic and generate research outline. For academic research, benchmark research, technology selection, etc.
- researchConduct preliminary research on a topic and generate research outline. For academic research, benchmark research, technology selection, etc.
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