Search Agent Skills
There are 1813 agent skills in our directory.
Agent skills related to search. We catalog 1813 skills that mention search in their name or description.
Updated June 2026
- .claude/skills/vector-search-alternatives/SKILL.md|
- 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）。
- abyssale-automationAutomate Abyssale tasks via Rube MCP (Composio). Always search tools first for current schemas.
- 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>
- acliWork with Atlassian products (Jira and Confluence) using the Atlassian CLI. Use when the user needs to create, view, edit, search, or manage Jira work items, projects, boards, sprints, filters, or Confluence spaces. Also use for authentication, user management, or automation of Atlassian workflows.MIT
- activecampaign-automationAutomate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
- activecampaign-automationAutomate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
- admin-list-patternProvides full-stack patterns for implementing searchable, paginated lists in the Erify Admin section. This skill should be used when adding or updating admin tables that require server-side filtering and debounced search.
- advanced_memory_search_SKILL
- aeoAnswer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
- aeoAnswer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.MIT
- aeoAnswer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
- aeonThis skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.licensed
- 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-channeltalkInteract with Channel Talk using extracted desktop app credentials - read chats, send messages, search messages, manage groups
- 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).
- agent-memory-mcpA hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
- agent-memory-mcpA hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
- agent-memory-mcpA hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
- agent-search-specialistExpert search specialist mastering advanced information retrieval, query optimization, and knowledge discovery. Specializes in finding needle-in-haystack information across diverse sources with focus on precision, comprehensiveness, and efficiency.
- agent-toolsRun 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok
- agentdb-vector-search-optimizationAgentDB Vector Search Optimization operates on 3 fundamental principles:
- agentfolioDiscover and register autonomous AI agents. Use when: browsing the agent registry, submitting an agent for verification, or embedding agent badges. NOT for: general web search or agent capability analysis.
- 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.
- agentuity-cli-cloud-vector-searchSearch for vectors using semantic similarity. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
- agnxi-searchThe official search utility for Agnxi.com - The premier directory of AI Agent Tools, MCP Servers, and Skills.
- 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-dev-jobs-mcpSearch 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP
- ai-dev-jobs-mcpSearch 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP
- ai-dev-jobs-mcpSearch 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP
- 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.
- ai-engineerBuild production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.
- ai-engineerBuild production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.
- ai-sdk-integrationIntegrate Vercel AI SDK applications with You.com tools (web search, AI agent, content extraction). Use when developer mentions AI SDK, Vercel AI SDK, generateText, streamText, or You.com integration with AI SDK.MIT
- ai-seoOptimize content to get cited by AI search engines — ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, CopilotMIT
- ai-seoOptimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems. Use when improving AI visibility, answer engine optimization, or citation readiness.
- ai-seoOptimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems. Use when improving AI visibility, answer engine optimization, or citation readiness.
- 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)
- airtable-automationAirtable Automation via Rube MCP workflow skill. Use this skill when the user needs Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- airtable-automationAutomate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.
- airtable-automationAutomate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.
- airtable-automationAutomate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.
- airtable-automationAutomate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.
- 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.
- alfworld-object-state-inspectorInspects a receptacle's contents by navigating to it and reading the observation. Use when you need to check what is on or inside a receptacle (e.g., "what's on the shelf", "is the holder empty", "check the table for items"). Executes `go to {receptacle}`, parses the observation listing items present, and decides whether to take an item, search elsewhere, or proceed.
- algolia-core-workflow-aImplement Algolia search with filters, facets, highlighting, and pagination.MIT
- algolia-cost-tuningOptimize Algolia costs: understand search request vs record pricing,MIT
- algolia-hello-worldCreate a minimal working Algolia example \u2014 index records and search\MIT
- algolia-incident-runbookExecute Algolia incident response: triage search failures, distinguishMIT
- algolia-migration-deep-diveMigrate to Algolia from Elasticsearch, Typesense, or Meilisearch.MIT
- algolia-observabilitySet up observability for Algolia: Prometheus metrics for search latency/errors,MIT
- algolia-performance-tuningOptimize Algolia search performance: record size, searchable attributes,MIT
- algolia-sdk-patternsApply production-ready algoliasearch v5 patterns: singleton client,MIT
- algolia-searchExpert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning Use when: adding search to, algolia, instantsearch, search api, search functionality.
- algolia-searchExpert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning Use when: adding search to, algolia, instantsearch, search api, search functionality.
- algolia-searchExpert patterns for Algolia search implementation, indexing
- algolia-searchExpert patterns for Algolia search implementation, indexing
- algolia-searchExpert patterns for Algolia search implementation, indexing
- algolia-searchExpert patterns for Algolia search implementation, indexing
- algolia-upgrade-migrationUpgrade algoliasearch from v4 to v5 with breaking change detection andMIT
- algolia-webhooks-eventsImplement Algolia Insights API for click/conversion tracking, searchMIT
- alma-scraperIntelligent scraper for Australian youth justice sources. Discovers, extracts, and learns from government, Indigenous, research, and media sources.
- alphaear-searchPerform finance web searches and local context searches. Use when the user needs general finance info from the web (Jina/DDG/Baidu) or needs to retrieve finance information from a local document store (RAG).
- alterlab-metabolomics-wbAccess the NIH Metabolomics Workbench via its REST API (4,200+ studies), querying metabolites, RefMet standardized nomenclature, MS/NMR data, m/z mass searches, and study metadata. Use when retrieving public metabolomics study data, standardizing metabolite names with RefMet, running m/z lookups, or doing biomarker discovery. Part of the AlterLab Academic Skills suite.MIT
- altoviz-automationAutomate Altoviz tasks via Rube MCP (Composio). Always search tools first for current schemas.
- 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-automationAutomate Amazon tasks via Rube MCP (Composio). Always search tools first for current schemas.
- amazon-automationAutomate Amazon tasks via Rube MCP (Composio). Always search tools first for current schemas.
- 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.
- amplitude-automationAutomate Amplitude tasks via Rube MCP (Composio): events, user activity, cohorts, user identification. Always search tools first for current schemas.
- amplitude-automationAutomate Amplitude tasks via Rube MCP (Composio): events, user activity, cohorts, user identification. Always search tools first for current schemas.
- 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.
- answeroverflowSearch and analyze AnswerOverflow for community-sourced technical solutions.
- 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.
- api-ninjas-automationAutomate API Ninjas tasks via Rube MCP (Composio). Always search tools first for current schemas.
- 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.
- apilio-automationAutomate Apilio tasks via Rube MCP (Composio). Always search tools first for current schemas.
- apolloInteract with Apollo.io REST API (people/org enrichment, search, lists).
- apollo-core-workflow-aImplement Apollo.io lead search and enrichment workflow.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-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
- appdrag-automationAutomate Appdrag tasks via Rube MCP (Composio). Always search tools first for current schemas.
- apple-mail-searchApple Mail search on macOS with fast metadata and full body lookup. Use for finding messages in Mail.app by subject/sender/recipient/date, opening messages, and reading full body text.
- apple-notesManage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks ArgentOS to add a note, list notes, search notes, or manage note folders.
- apple-notesManage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks CoWork-OSS to add a note, list notes, search notes, or manage note folders.
- apple-notesManage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks to add a note, list notes, search notes, or manage note folders.
- apple-notesManage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks to add a note, list notes, search notes, or manage note folders.
- arborAutonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.MIT license
- 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
- arrowspaceSpectral vector search using graph Laplacian eigenstructure. Use when cosine/L2 similarity misses latent structure in your embeddings.Apache-2.0
- arrowspaceSpectral vector search using graph Laplacian eigenstructure. Use when cosine/L2 similarity misses latent structure in your embeddings.Apache-2.0
- arrowspaceSpectral vector search using graph Laplacian eigenstructure. Use when cosine/L2 similarity misses latent structure in your embeddings.Apache-2.0
- arxivSearch, download, and summarize academic papers from arXiv. Use when user says \"search arxiv\", \"download paper\", \"fetch arxiv\", \"arxiv search\", \"get paper pdf\", or wants to find and save papers from arXiv to the local paper library.
- arxivSearch, download, and summarize academic papers from arXiv. Use when user says \"search arxiv\", \"download paper\", \"fetch arxiv\", \"arxiv search\", \"get paper pdf\", or wants to find and save papers from arXiv to the local paper library.
- arxivSearch, download, and summarize academic papers from arXiv. Use when user says \"search arxiv\", \"download paper\", \"fetch arxiv\", \"arxiv search\", \"get paper pdf\", or wants to find and save papers from arXiv to the local paper library.
- arxivSearch arXiv, inspect paper metadata, and download papers by keyword or arXiv ID. Use when the user wants fresh arXiv search results, paper detail lookup, or direct PDF/source downloads.
- asana-automationAutomate Asana tasks via Rube MCP (Composio): tasks, projects, sections, teams, workspaces. Always search tools first for current schemas.
- asana-automationAutomate Asana tasks via Rube MCP (Composio): tasks, projects, sections, teams, workspaces. Always search tools first for current schemas.
- asana-automationAutomate Asana tasks via Rube MCP (Composio): tasks, projects, sections, teams, workspaces. Always search tools first for current schemas.
- askRoute a codebase question to the right tool — structural graph, semantic search, or risk analysis. Use when you need to find or understand code without knowing exact file names.
- 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-aiConfigure the Ask AI (RAG-powered AI chat) in @farming-labs/docs. Use when enabling AI chat, setting mode (search vs floating), floatingStyle (panel, modal, popover, full-modal), position, providers, models, suggestedQuestions, apiKey, systemPrompt, maxResults, useMcp, feedback, or onActions. Covers Next.js, TanStack Start, SvelteKit, Astro, Nuxt, and env vars.
- ask-heurist-agentCrypto Q&A research agent for token analysis, market trends, trading strategies, and macro news.
- ask-searchWeb search via self-hosted SearxNG. Aggregates Google, Bing, DuckDuckGo, Brave. Returns title/url/snippet. Zero API key required.
- ast-grepGuide for writing ast-grep rules to perform structural code search and analysis. Use when users need to search codebases using Abstract Syntax Tree (AST) patterns, find specific code structures, or perform complex code queries that go beyond simple text search. This skill should be used when users ask to search for code patterns, find specific language constructs, or locate code with particular structural characteristics.
- ast-grepSearch code using Abstract Syntax Tree patterns with ast-grep. Use when finding code structures, bug patterns, or refactoring candidates that depend on syntax rather than text.
- astgrepUnified code search via ast-grep (AST structural) + ripgrep (text). TRIGGER when: searching code patterns, finding function calls, AST pattern matching, text keyword search, refactor locating, legacy code scanning, structural code rewrite. BLOCKING: sg-rewrite --apply (modifies files). SKIP: remote GitHub search (use github skill's gh-search-code), natural language code explanation without patterns, Nushell files (.nu not supported by ast-grep).
- 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
- atlasIngest project documentation and code into persistent semantic memory (Qdrant + Voyage embeddings). Use when user wants to remember context across sessions, ingest docs, or search previous work. Requires Qdrant running locally and VOYAGE_API_KEY set.
- atlassian-mcpIntegrates with Atlassian products to manage project tracking and documentation via MCP protocol. Use when querying Jira issues with JQL filters, creating and updating tickets with custom fields, searching or editing Confluence pages with CQL, managing sprints and backlogs, setting up MCP server authentication, syncing documentation, or debugging Atlassian API integrations.MIT
- attention-calculatorUse the remote 注意力计算器 service to generate integral proofs for inequalities between supported constants/functions and rational numbers. The skill is a thin client only: it must call the server API and must never contain or reconstruct coefficient tables, proof-search tables, or solver logic.
- attio-core-workflow-aFull CRUD on Attio records -- create, read, update, delete, and searchMIT
- 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
- axiom-core-spotlight-refUse when indexing app content for Spotlight search, using NSUserActivity for prediction/handoff, or choosing between CSSearchableItem and IndexedEntity - covers Core Spotlight framework and NSUserActivity integration for iOS 9+MIT
- azure-maps-search-dotnetAzure Maps SDK for .NET. Location-based services including geocoding, routing, rendering, geolocation, and weather. Use for address search, directions, map tiles, IP geolocation, and weather data.
- azure-maps-search-dotnetAzure Maps SDK for .NET. Location-based services including geocoding, routing, rendering, geolocation, and weather. Use for address search, directions, map tiles, IP geolocation, and weather data.
- azure-search-documents-dotnetAzure AI Search SDK for .NET (Azure.Search.Documents). Use for building search applications with full-text, vector, semantic, and hybrid search.
- azure-search-documents-dotnetAzure AI Search SDK for .NET (Azure.Search.Documents). Use for building search applications with full-text, vector, semantic, and hybrid search.
- azure-search-documents-pyAzure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets.
- azure-search-documents-pyAzure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets.
- azure-search-documents-pyAzure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets.
- azure-search-documents-tsBuild search applications with vector, hybrid, and semantic search capabilities.
- azure-search-documents-tsBuild search applications with vector, hybrid, and semantic search capabilities.
- azure-search-documents-tsBuild search applications with vector, hybrid, and semantic search capabilities.
- bamboohr-automationAutomate BambooHR tasks via Rube MCP (Composio): employees, time-off, benefits, dependents, employee updates. Always search tools first for current schemas.
- bamboohr-automationAutomate BambooHR tasks via Rube MCP (Composio): employees, time-off, benefits, dependents, employee updates. Always search tools first for current schemas.
- bamboohr-automationAutomate BambooHR tasks via Rube MCP (Composio): employees, time-off, benefits, dependents, employee updates. Always search tools first for current schemas.
- Bankr Agent - PolymarketThis skill should be used when the user asks about "Polymarket", "prediction markets", "betting odds", "place a bet", "check odds", "market predictions", "what are the odds", "bet on election", "sports betting", or any prediction market operation. Provides guidance on searching markets, placing bets, and managing positions.
- bankr-agentAutonomous research agent and trader specializing in NFT collecting, agent economics, and x402 payments.
- basecamp-automationAutomate Basecamp project management, to-dos, messages, people, and to-do list organization via Rube MCP (Composio). Always search tools first for current schemas.
- basecamp-automationAutomate Basecamp project management, to-dos, messages, people, and to-do list organization via Rube MCP (Composio). Always search tools first for current schemas.
- batch-research批量并发执行信息采集任务的技能。
- bear-notesCreate, search, and manage Bear notes via grizzly CLI.
- bear-notesCreate, search, and manage Bear notes via grizzly CLI.
- beeperBeeper local cache: contact hints, room lookup, WhatsApp/iMessage traces, FTS search.
- beeper-cliRead-only CLI for browsing, opening, and searching local Beeper chat history (SQLite-based)
- before-file-searchUse BEFORE running grep or glob commands. Reminds you to use codebase-locator agent instead of basic file search tools.
- bexioBexio Swiss business software API for managing contacts, quotes/offers, invoices, orders, and items/products. Use when working with Bexio CRM, creating or managing invoices, quotes, sales orders, contact management, or Swiss business administration tasks. Supports listing, searching, creating, editing contacts and sales documents.
- bgpt-paper-searchSearch scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.MIT
- bigml-automationAutomate Bigml tasks via Rube MCP (Composio). Always search tools first for current schemas.
- 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.
- bio-similarity-searchingPerforms molecular similarity searching using Tanimoto, Tversky, Dice, and cosine coefficients on bit/count fingerprints with explicit choice rules for symmetric vs asymmetric measures, scaffold-hopping vs lead-optimization regimes, activity-cliff diagnosis, and large-library nearest-neighbor methods (BulkTanimoto, Annoy MHFP6, USRCAT). Use when ranking compounds by structural resemblance to a query, clustering libraries, finding analogs, or diagnosing activity cliffs.
- birdX/Twitter CLI for reading, searching, and posting via cookies or Sweetistics.
- birdX/Twitter CLI for reading, searching, and posting via cookies or Sweetistics.
- birdX/Twitter CLI for reading, searching, and posting via cookies or Sweetistics.
- bitbucket-automationAutomate Bitbucket repositories, pull requests, branches, issues, and workspace management via Rube MCP (Composio). Always search tools first for current schemas.
- bitbucket-automationAutomate Bitbucket repositories, pull requests, branches, issues, and workspace management via Rube MCP (Composio). Always search tools first for current schemas.
- bitbucket-automationAutomate Bitbucket repositories, pull requests, branches, issues, and workspace management via Rube MCP (Composio). Always search tools first for current schemas.
- 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
- blz-docs-searchTeaches effective documentation search using the blz CLI tool. Use when searching documentation with blz, looking up APIs, finding code examples, retrieving citations, or when questions mention libraries, frameworks, "how to", or documentation topics. Covers BM25 full-text search patterns, citation retrieval, and efficient querying.
- 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
- bonsai-automationAutomate Bonsai tasks via Rube MCP (Composio). Always search tools first for current schemas.
- 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.
- box-automationAutomate Box cloud storage operations including file upload/download, search, folder management, sharing, collaborations, and metadata queries via Rube MCP (Composio). Always search tools first for current schemas.
- box-automationAutomate Box operations including file upload/download, content search, folder management, collaboration, metadata queries, and sign requests through Composio's Box toolkit.
- box-automationAutomate Box operations including file upload/download, content search, folder management, collaboration, metadata queries, and sign requests through Composio's Box toolkit.
- box-automationAutomate Box operations including file upload/download, content search, folder management, collaboration, metadata queries, and sign requests through Composio's Box toolkit.
- 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.
- brave-searchWeb search and content extraction via Brave Search API.
- brave-searchWeb search via the Brave Search API. Use to retrieve search results from Brave when web lookups are needed.
- brave-search-apiThis skill enables web searching using Brave Search API directly via curl. Use when searching for current information, news, articles, or web content. MCP server not required - calls API directly.
- brevo-automationAutomate Brevo (Sendinblue) tasks via Rube MCP (Composio): manage email campaigns, create/edit templates, track senders, and monitor campaign performance. Always search tools first for current schemas.
- 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
- bring-rezepteUse when running the OpenClaw/ClawHub Bring! skill to search recipes on the web, parse recipe URLs for ingredients, and add ingredients to a Bring shopping list. Covers recipe search via web_search, URL parsing, recipe batch-add, list management, and inspiration filters.
- browser-historySearch local browser history. Use when user asks about visited pages, forgotten URLs, or time spent on sites.
- browsing-hackernewsUse when the user wants to interact with Hacker News (news.ycombinator.com) — read top stories from the frontpage, extract a post's data and comments, or search stories via the Algolia HN search API. No authentication required. HN uses server-rendered HTML, so extraction works reliably without a browser (though a browser still works fine).
- browsing-zillowUse when the user wants to search real estate listings or extract property details on Zillow (zillow.com) — the largest US property marketplace. Actions: search properties by city, extract full listing details. The site is JS-rendered. No authentication required for browsing; a real browser is required.
- 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.
- bugsnag-automationAutomate Bugsnag tasks via Rube MCP (Composio). Always search tools first for current schemas.
- bugsnag-automationAutomate Bugsnag tasks via Rube MCP (Composio). Always search tools first for current schemas.
- bugsnag-automationAutomate Bugsnag tasks via Rube MCP (Composio). Always search tools first for current schemas.
- bugsnag-automationAutomate Bugsnag tasks via Rube MCP (Composio). Always search tools first for current schemas.
- 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.
- burpsuite-project-parserSearches and explores Burp Suite project files (.burp) from the command line. Use when searching response headers or bodies with regex patterns, extracting security audit findings, dumping proxy history or site map data, or analyzing HTTP traffic captured in a Burp project.
- burpsuite-project-parserSearches and explores Burp Suite project files (.burp) from the command line. Use when searching response headers or bodies with regex patterns, extracting security audit findings, dumping proxy history or site map data, or analyzing HTTP traffic captured in a Burp project.
- business-contact-social-links-skillThis skill helps users automatically extract official website and social media profiles. Agent should proactively apply this skill when users express needs like search for official website and social media contacts of a company, find YouTube and LinkedIn profiles by company name, extract social media links from a specific website URL, discover a company's X and Facebook presence, gather business contact details using their brand name, retrieve TikTok and Instagram links from a target website, track competitor social media strategy, extract multi-platform social links for lead generation, find official contact channels of local businesses, collect canonical profile URLs for outreach campaigns, or build a contact database from Yellow Pages leads.
- business-skills5 business research skills. Trigger: business strategy, market analysis, competitive intelligence. Design: analytical frameworks and methods for management and innovation research.
- buywhere-product-catalogUse BuyWhere's MCP and API surfaces to add product search, price comparison, and deal discovery to AI shopping agents.Not declared
- buywhere-product-catalogUse BuyWhere's MCP and API surfaces to add product search, price comparison, and deal discovery to AI shopping agents.Not declared
- c-notesManage Apple Notes and Apple Reminders from the CLI. Uses memo for Notes and remindctl for Reminders. Supports listing, searching, reading, creating notes, and adding/completing reminders.
- cal-com-automationAutomate Cal.com tasks via Rube MCP (Composio): manage bookings, check availability, configure webhooks, and handle teams. Always search tools first for current schemas.
- cal-com-automationAutomate Cal.com tasks via Rube MCP (Composio): manage bookings, check availability, configure webhooks, and handle teams. Always search tools first for current schemas.
- cal-com-automationAutomate Cal.com tasks via Rube MCP (Composio): manage bookings, check availability, configure webhooks, and handle teams. Always search tools first for current schemas.
- calendly-automationAutomate Calendly scheduling, event management, invitee tracking, availability checks, and organization administration via Rube MCP (Composio). Always search tools first for current schemas.
- calendly-automationAutomate Calendly scheduling, event management, invitee tracking, availability checks, and organization administration via Rube MCP (Composio). Always search tools first for current schemas.
- callerapi-automationAutomate Callerapi tasks via Rube MCP (Composio). Always search tools first for current schemas.
- canva-automationAutomate Canva tasks via Rube MCP (Composio): designs, exports, folders, brand templates, autofill. Always search tools first for current schemas.
- canva-automationAutomate Canva tasks via Rube MCP (Composio): designs, exports, folders, brand templates, autofill. Always search tools first for current schemas.
- canva-automationAutomate Canva tasks via Rube MCP (Composio): designs, exports, folders, brand templates, autofill. Always search tools first for current schemas.
- 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.
- cciSearch Claude Collective Intelligence knowledge base for solutions to problems. Use when the user asks about common issues, wants to find existing solutions, or mentions "CCI", "collective intelligence", or "knowledge base".
- 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
- chat-listBuild a chat list page with search, rename, and delete functionality. Uses nuqs for URL-synced filters and deep-linkable modal dialogs.
- chat-listBuild a chat list page with search, rename, and delete functionality. Uses nuqs for URL-synced filters and deep-linkable modal dialogs.
- chem-db-spectraSearch and download experimental InfraRed (IR), Mass spectra, and UV-Vis spectra data (JCAMP-DX format) for molecules.
- chembl-databaseQuery ChEMBL's bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry.
- chgis-tgazQuery the China Historical GIS (CHGIS) Temporal Gazetteer (TGAZ) API to search for historical Chinese placenames from 222 BCE to 1911 CE. Use this skill when searching for information about historical Chinese places, administrative units, or geographic locations during the dynastic period. Applicable for queries about historical place names, administrative hierarchies, or when users mention specific Chinese locations with historical context.MIT
- chrome-extension-iconsSearch and generate icons for Chrome browser extensions. Automatically downloads SVG icons from Iconify (275,000+ free icons), converts them to required PNG sizes (16x16, 32x32, 48x48, 128x128), and updates manifest.json configuration. Use when the user mentions "extension icon", "browser extension icon", "chrome icon", "add icon to extension", "generate icon for extension", or when working with Chrome extension manifest.json icon setup. Supports color customization, local SVG conversion, and batch generation for multiple projects.
- circleci-automationAutomate CircleCI tasks via Rube MCP (Composio): trigger pipelines, monitor workflows/jobs, retrieve artifacts and test metadata. Always search tools first for current schemas.
- circleci-automationAutomate CircleCI tasks via Rube MCP (Composio): trigger pipelines, monitor workflows/jobs, retrieve artifacts and test metadata. Always search tools first for current schemas.
- circleci-automationAutomate CircleCI tasks via Rube MCP (Composio): trigger pipelines, monitor workflows/jobs, retrieve artifacts and test metadata. Always search tools first for current schemas.
- citationFormats citations and validates source attribution for answers generated from multiple document sources (ChromaDB and web search). Use when adding source references to generated answers, validating citation accuracy, or ensuring quality of source attribution across different source types.
- 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
- civitai-mcp-ultimateUltimate MCP server for Civitai — search models, browse top images with prompts, download LoRAs/Checkpoints, analyze trends. Use when user asks about AI models, LoRAs, checkpoints, Stable Diffusion, Flux, image generation prompts, or Civitai.
- clade-core-workflow-bRedirect to claude-embeddings-search for tool use (function calling)MIT
- clade-embeddings-searchImplement tool use (function calling) with Claude to let it executeMIT
- clarvia-aeo-checkScore any MCP server, API, or CLI for agent-readiness using Clarvia AEO (Agent Experience Optimization). Search 15,400+ indexed tools before adding them to your workflow.
- clarvia-aeo-checkScore any MCP server, API, or CLI for agent-readiness using Clarvia AEO (Agent Experience Optimization). Search 15,400+ indexed tools before adding them to your workflow.
- clarvia-aeo-checkScore any MCP server, API, or CLI for agent-readiness using Clarvia AEO (Agent Experience Optimization). Search 15,400+ indexed tools before adding them to your workflow.
- claude-code-history-files-finderFinds and recovers content from Claude Code session history files. This skill should be used when searching for deleted files, tracking changes across sessions, analyzing conversation history, or recovering code from previous Claude interactions. Triggers include mentions of "session history", "recover deleted", "find in history", "previous conversation", or ".claude/projects".
- 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
- clawdhubUse the ClawdHub CLI to search, install, update, and publish agent skills from clawdhub.com. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with the npm-installed clawdhub CLI.
- 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.
- clawdtmClawdTM skills for OpenClaw agents -- search, install, and review skills with security awareness.
- clawhubSearch ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.
- clawhubSearch and install agent skills from ClawHub, the public skill registry.
- clawhubUse the ClawHub CLI to search, install, update, and publish agent skills from clawhub.com. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with the npm-installed clawhub CLI.
- clawhubSearch ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.
- ClawHubSearch, install, and manage community skills from the ClawHub registry.
- clay-core-workflow-bUse Claygent AI research and AI-powered personalization to generateMIT
- clickup-automationAutomate ClickUp project management including tasks, spaces, folders, lists, comments, and team operations via Rube MCP (Composio). Always search tools first for current schemas.
- clickup-automationAutomate ClickUp project management including tasks, spaces, folders, lists, comments, and team operations via Rube MCP (Composio). Always search tools first for current schemas.
- clickup-automationAutomate ClickUp project management including tasks, spaces, folders, lists, comments, and team operations via Rube MCP (Composio). Always search tools first for current schemas.
- 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
- close-automationAutomate Close CRM tasks via Rube MCP (Composio): create leads, manage calls/SMS, handle tasks, and track notes. Always search tools first for current schemas.
- close-automationAutomate Close CRM tasks via Rube MCP (Composio): create leads, manage calls/SMS, handle tasks, and track notes. Always search tools first for current schemas.
- Clude Memory MCPMCP server for Clude's cognitive memory system — store, recall, search, and dream. Supports hosted (zero-setup), self-hosted (Supabase + pgvector), and local (offline) modes.
- cluster-corpus-by-themePerforms axial-coding-style thematic clustering over the substacker corpus of published posts to surface candidate sections. Uses Braun & Clarke's six-phase thematic analysis — familiarization, initial coding, searching for themes, reviewing themes, defining themes, naming. Reads full bodies, not titles. Use when re-opening the section question. Trigger keywords: cluster, theme, axial coding, thematic analysis, candidate sections.
- cm-deep-searchOptional power-up — detects oversized codebases/docs and suggests tobi/qmd for local semantic search. Bridges cm-continuity (working memory) with long-term document retrieval. Zero-config detection, non-intrusive suggestion.
- cm-skill-search[Deprecated] discovery merged. Use `cm-skill-index` instead.
- coda-automationAutomate Coda tasks via Rube MCP (Composio): manage docs, pages, tables, rows, formulas, permissions, and publishing. Always search tools first for current schemas.
- coda-automationAutomate Coda tasks via Rube MCP (Composio): manage docs, pages, tables, rows, formulas, permissions, and publishing. Always search tools first for current schemas.
- coda-automationAutomate Coda tasks via Rube MCP (Composio): manage docs, pages, tables, rows, formulas, permissions, and publishing. Always search tools first for current schemas.
- 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.
- codex-deep-search使用 Codex CLI 进行深度网页搜索和研究。支持后台执行 + Telegram 回调。
- codex-searchCodex CLI を使った Web 検索 + 成果物自動保存。検索結果を .md/.json/.txt の3形式でタイムスタンプ付き保存。
- ComfyUI Code SearchSearch code across ComfyUI repositories using comfy-codesearch service. Including all Comfy-Org repos and Community made Custom Node Repos on GitHub.
- 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-alternativesYou are an expert in creating competitor comparison and alternative pages. Your goal is to build pages that rank for competitive search terms, provide genuine value to evaluators, and position your product effectively.
- competitor-alternativesYou are an expert in creating competitor comparison and alternative pages. Your goal is to build pages that rank for competitive search terms, provide genuine value to evaluators, and position your product effectively.
- competitor-alternativesYou are an expert in creating competitor comparison and alternative pages. Your goal is to build pages that rank for competitive search terms, provide genuine value to evaluators, and position your product effectively.
- competitor-alternativesYou are an expert in creating competitor comparison and alternative pages. Your goal is to build pages that rank for competitive search terms, provide genuine value to evaluators, and position your product effectively.
- 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
- comsol-docsSearch COMSOL Multiphysics documentation. Use when asked about COMSOL, mesh refinement, boundary conditions, solvers, physics interfaces, FEM simulation, or COMSOL error messages.
- 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.
- confluence-automationAutomate Confluence page creation, content search, space management, labels, and hierarchy navigation via Rube MCP (Composio). Always search tools first for current schemas.
- confluence-automationAutomate Confluence page creation, content search, space management, labels, and hierarchy navigation via Rube MCP (Composio). Always search tools first for current schemas.
- confluence-document-readerRead and search Confluence pages as markdown using the confluence-md CLI tool
- 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-hubBrowser-based asset gallery for managing marketing assets. Visual grid with filter/search, brand context sidebar, and actions (preview, edit, generate). R2-ready manifest for future cloud sync. Use when browsing assets, managing content library, or generating new assets with brand context.MIT
- 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
- convergence-paper-searchPaper AI summary reading — deeper understanding of specific methodology
- conversation-loggerThis skill should be used when users need to save, search, or retrieve Claude Code conversation transcripts. Use this skill when users ask to save the current conversation, search through past conversations for context, or retrieve information from previous sessions. Also use when appropriate to proactively save important conversations at natural breakpoints (e.g., after completing a major feature, fixing a critical bug, or when the user indicates they're done with a session).
- convertkit-automationAutomate ConvertKit (Kit) tasks via Rube MCP (Composio): manage subscribers, tags, broadcasts, and broadcast stats. Always search tools first for current schemas.
- convertkit-automationAutomate ConvertKit (Kit) tasks via Rube MCP (Composio): manage subscribers, tags, broadcasts, and broadcast stats. Always search tools first for current schemas.
- CouncilMulti-agent debate system. USE WHEN council, debate, perspectives, agents discuss. SkillSearch('council') for docs.
- CouncilMulti-agent debate system. USE WHEN council, debate, perspectives, agents discuss. SkillSearch('council') for docs.
- CouncilMulti-agent debate system. USE WHEN council, debate, perspectives, agents discuss. SkillSearch('council') for docs.
- CouncilMulti-agent debate system. USE WHEN council, debate, perspectives, agents discuss. SkillSearch('council') for docs.
- CouncilMulti-agent debate system. USE WHEN council, debate, perspectives, agents discuss. SkillSearch('council') for docs.
- counterexample-generatorAutomated search for counterexamples to mathematical conjectures
- coupa-automationAutomate Coupa tasks via Rube MCP (Composio). Always search tools first for current schemas.
- coupa-automationAutomate Coupa tasks via Rube MCP (Composio). Always search tools first for current schemas.
- coupa-automationAutomate Coupa tasks via Rube MCP (Composio). Always search tools first for current schemas.
- coupa-automationAutomate Coupa tasks via Rube MCP (Composio). Always search tools first for current schemas.
- coupa-automationAutomate Coupa tasks via Rube MCP (Composio). Always search tools first for current schemas.
- Create and query full-text indexesUse RediSearch-backed full-text indexes for text search with wildcard and fuzzy matching
- 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.
- CreateCLIGenerate TypeScript CLIs. USE WHEN create CLI, build CLI, command-line tool. SkillSearch('createcli') for docs.
- 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-aeoAnswer Engine Optimization (AEO) specialist agent. Use when content needs to be optimized for citation by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) rather than for traditional search rankings. Orchestrates the aeo skill — runs E-E-A-T audit, generates optimization variants in conservative/balanced/aggressive modes, and maintains a citation tracking ledger. Industry-aware (8 industries with calibrated thresholds). Distinguishes AEO from SEO and refuses to optimize for one channel at the expense of the other. Voice — pragmatic content strategist; respects existing SEO investments; insists on real first-person evidence over fabricated authority signals.
- cs-aeoAnswer Engine Optimization (AEO) specialist agent. Use when content needs to be optimized for citation by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) rather than for traditional search rankings. Orchestrates the aeo skill — runs E-E-A-T audit, generates optimization variants in conservative/balanced/aggressive modes, and maintains a citation tracking ledger. Industry-aware (8 industries with calibrated thresholds). Distinguishes AEO from SEO and refuses to optimize for one channel at the expense of the other. Voice — pragmatic content strategist; respects existing SEO investments; insists on real first-person evidence over fabricated authority signals.MIT
- 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
- csp-skillManage local CSP skills with list, add, remove, search, edit, and setup wizard CLI subcommands
- ctf-osintProvides open source intelligence techniques for CTF challenges. Use when gathering information from public sources, social media, geolocation, DNS records, username enumeration, reverse image search, Google dorking, Wayback Machine, Tor relays, FEC filings, or identifying unknown data like hashes and coordinates.MIT
- cullUse when the user wants to view, review, rate, organize, search, or export images / AI-art generations with the Cull app (https://cull.company/ · https://github.com/glebis/cull). Trigger on "show me these images", "review this batch", "open these in Cull", "rate / shortlist / collect these", "find similar images", "make a smart collection", "run a quality pass", "export the keepers", "publish this collection". Works via the `cull` CLI by default (no MCP required); the `mcp__cull__*` tools are optional for richer interactive control.
- culture-indexIndex and search culture documentation
- 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-codebase-indexingSet up and optimize Cursor codebase indexing for semantic code searchMIT
- 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.
- cursor-indexing-issuesTroubleshoot Cursor codebase indexing: stuck indexing, empty search,MIT
- cve-researchResearch CVEs and security advisories for project dependencies. Uses Exa, NVD API, OSV.dev, and GitHub Advisory Database to find known vulnerabilities.
- data-podsCreate and manage modular portable database pods (SQLite + metadata + embeddings). Includes document ingestion with embeddings for semantic search. Full automation - just ask.
- 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.
- data-search.skill
- datadog-automationAutomate Datadog tasks via Rube MCP (Composio): query metrics, search logs, manage monitors/dashboards, create events and downtimes. Always search tools first for current schemas.
- datadog-automationAutomate Datadog tasks via Rube MCP (Composio): query metrics, search logs, manage monitors/dashboards, create events and downtimes. Always search tools first for current schemas.
- ddg-searchPerform web searches using DuckDuckGo. Use when web search is needed and no API key is available or Brave Search is not preferred.
- ddg-searchPerform web searches using DuckDuckGo. Use when web search is needed and no API key is available or Brave Search is not preferred.
- ddg-searchDuckDuckGo Lite를 이용한 웹 검색 방법. 일반 DuckDuckGo HTML 버전은 JavaScript 의존으로 빈 결과를 반환하므로 반드시 Lite 버전(lite.duckduckgo.com/lite/)을 사용해야 합니다. 웹 검색이 필요할 때, DuckDuckGo로 정보를 조회할 때, 검색 결과를 파싱해야 할 때, 외부 정보를 수집하여 요약해야 할 때 이 스킬을 사용하세요.
- ddgrSearch the web with DuckDuckGo using the `ddgr` CLI. Use when the user asks to look something up online, verify facts, or gather source links.
- dearcc-jobclawRead a completed DearCC intake file or pasted answers, derive a short search brief internally, then return a structured job search request as JSON.
- debugging-with-toolsUse for investigation-heavy work. Prefer tool-driven evidence (search, logs, diffs) before changing code.
- 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.
- deep-searchHybrid search using Brave for discovery + Agent Browser for deep extraction. Triggered by /deep-search command. Sequential execution, combined summary output.
- deepsearch-service基于 LLM 的深度迭代搜索与推理服务。擅长处理复杂问题，通过自动分解查询、多轮迭代检索、信息评估与验证，最终生成全面且结构化的深度分析报告。
- 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...
- discord-automationAutomate Discord tasks via Rube MCP (Composio): messages, channels, roles, webhooks, reactions. Always search tools first for current schemas.
- discord-automationAutomate Discord tasks via Rube MCP (Composio): messages, channels, roles, webhooks, reactions. Always search tools first for current schemas.
- discord-automationAutomate Discord tasks via Rube MCP (Composio): messages, channels, roles, webhooks, reactions. Always search tools first for current schemas.
- discord-chatSend messages, reply to messages, and search message history in Discord channels using the message tool. Use when the user wants to communicate with Discord (send/reply/search messages), check Discord activity, or interact with Discord channels.
- discord-chatSend messages, reply to messages, and search message history in Discord channels using the message tool. Use when the user wants to communicate with Discord (send/reply/search messages), check Discord activity, or interact with Discord channels.
- discord-readRead and search synced Discord messages. Use when user asks about discord conversations, wants to see messages, or search for specific content.
- 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.
- dnsfilter-automationAutomate Dnsfilter tasks via Rube MCP (Composio). Always search tools first for current schemas.
- doc-searchCrawl web documentation into context for accurate, up-to-date coding assistance. Supports quick single-page lookups and deep multi-page indexing with search.
- doclingExtract and parse content from web pages, PDFs, documents (docx, pptx), and images using the docling CLI with GPU acceleration. Use INSTEAD of web_fetch for extracting content from specific URLs when you need clean, structured text. Use Brave (web_search) for searching/discovering pages. Use docling when you HAVE a URL and need its content parsed.
- docnify-automationAutomate Docnify tasks via Rube MCP (Composio). Always search tools first for current schemas.
- docsUse the Farming Labs docs website through agent discovery, AGENTS.md, markdown routes, search, llms.txt, OpenAPI schema discovery, and MCP.
- 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.
- docs-seekerSearching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Documentation in llms.txt format, (3) GitHub repository analysis, (4) Documentation without direct llms.txt support, (5) Multiple documentation sources in parallel
- docs-seekerSearch library/framework documentation via llms.txt (context7.com). Use for API docs, GitHub repository analysis, technical documentation lookup, latest library features.
- 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.
- docusign-automationAutomate DocuSign tasks via Rube MCP (Composio): templates, envelopes, signatures, document management. Always search tools first for current schemas.
- docusign-automationAutomate DocuSign tasks via Rube MCP (Composio): templates, envelopes, signatures, document management. Always search tools first for current schemas.
- 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.
- dot-aiKubernetes cluster operations via dot-ai CLI - natural language cluster queries, AI-powered deployment recommendations, issue troubleshooting and remediation, Day 2 operations (scale, update, rollback, delete), resources, namespaces, events, logs, organizational knowledge base (ingest, search, query), organizational patterns/policies/capabilities management, project scaffolding and repo audit, and session history and visualization. Run `dot-ai --help` for commands.
- dot-aiKubernetes cluster operations via dot-ai CLI - natural language cluster queries, AI-powered deployment recommendations, issue troubleshooting and remediation, Day 2 operations (scale, update, rollback, delete), resources, namespaces, events, logs, organizational knowledge base (ingest, search, query), organizational patterns/policies/capabilities management, project scaffolding and repo audit, and session history and visualization. Run `dot-ai --help` for commands.
- dot-aiKubernetes cluster operations via dot-ai CLI - natural language cluster queries, AI-powered deployment recommendations, issue troubleshooting and remediation, Day 2 operations (scale, update, rollback, delete), resources, namespaces, events, logs, organizational knowledge base (ingest, search, query), organizational patterns/policies/capabilities management, project scaffolding and repo audit, and session history and visualization. Run `dot-ai --help` for commands.
- dot-aiKubernetes cluster operations via dot-ai CLI - natural language cluster queries, AI-powered deployment recommendations, issue troubleshooting and remediation, Day 2 operations (scale, update, rollback, delete), resources, namespaces, events, logs, organizational knowledge base (ingest, search, query), organizational patterns/policies/capabilities management, project scaffolding and repo audit, and session history and visualization. Run `dot-ai --help` for commands.
- dot-aiKubernetes cluster operations via dot-ai CLI - natural language cluster queries, AI-powered deployment recommendations, issue troubleshooting and remediation, Day 2 operations (scale, update, rollback, delete), resources, namespaces, events, logs, organizational knowledge base (ingest, search, query), organizational patterns/policies/capabilities management, project scaffolding and repo audit, and session history and visualization. Run `dot-ai --help` for commands.
- dot-aiKubernetes cluster operations via dot-ai CLI - natural language cluster queries, AI-powered deployment recommendations, issue troubleshooting and remediation, Day 2 operations (scale, update, rollback, delete), resources, namespaces, events, logs, organizational knowledge base (ingest, search, query), organizational patterns/policies/capabilities management, project scaffolding and repo audit, and session history and visualization. Run `dot-ai --help` for commands.
- doublecheckThree-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or contradicting sources via web search, runs adversarial review for hallucination patterns, and produces a structured verification report with source links for human review.
- dropbox-automationAutomate Dropbox file management, sharing, search, uploads, downloads, and folder operations via Rube MCP (Composio). Always search tools first for current schemas.
- dropbox-automationAutomate Dropbox file management, sharing, search, uploads, downloads, and folder operations via Rube MCP (Composio). Always search tools first for current schemas.
- 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
- drugbank-searchSearch DrugBank comprehensive drug database with natural language queries. Drug mechanisms, interactions, and safety data powered by Valyu.MIT
- 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-listingExtract product list from any e-commerce category page, search results page, or keyword search with filters. Returns paginated product arrays with URL, name, price, currency, image, rating, review count per item. Supports URL input, keyword search, and site-scoped search with filters: price range, brand, category, minimum rating, in-stock only, and sort order. Works on Amazon, eBay, Walmart, Shopify collections, WooCommerce shops, Google Shopping, and any public product listing page. Use when: category listing, product search results, ecommerce search, search for products, filter products by price, list products from a site, price range filter, brand filter, keyword search with filters, scrape product list, product catalog extraction, get all products from category, bulk product URLs, product list scraping, category page scraper, search results scraper, multi-page product extraction.
- 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.
- efficient-web-research>
- efficient-web-research>
- efficient-web-research>
- eigenfeed.exploreDiscover candidate articles via web search. Used by /eigenfeed and /coldstart, also invocable directly.
- elasticsearch-index-manager|MIT
- email-readerRead/search Gmail via gog CLI. Inbox check, email search, content retrieval.
- embedding-strategiesSelect and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
- embedding-strategiesGuide to selecting and optimizing embedding models for vector search applications.
- embedding-strategiesGuide to selecting and optimizing embedding models for vector search applications.
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