Data Agent Skills
There are 2419 agent skills in our directory.
Agent skills related to data. We catalog 2419 skills that mention data in their name or description.
Updated June 2026
- 0xworkFind and complete paid tasks on the 0xWork decentralized marketplace (Base chain, USDC escrow). Use when: the agent wants to earn money/USDC by doing work, discover available tasks, claim a bounty, submit deliverables, post tasks with bounties, check earnings or wallet balance, sell digital products, list services, or set up as a 0xWork worker/poster. Task categories: Writing, Research, Social, Creative, Code, Data. NOT for: managing the 0xWork platform or frontend development.
- 316-frameworks-spring-mongodb-migrations-mongockUse when you need to add or review Mongock MongoDB data migrations in a Spring Boot application — including Maven coordinates, Spring Data MongoDB drivers, migration scan packages, @ChangeUnit classes, lock/transaction settings, and Testcontainers verification. This should trigger for requests such as Add Mongock migrations in Spring Boot; Review Spring MongoDB data migrations; Configure Mongock change units for Spring Data MongoDB. Part of cursor-rules-java projectApache-2.0
- 512-frameworks-micronaut-dataUse when you need data access with Micronaut Data — @MappedEntity, CrudRepository/PageableRepository, @Query with parameters, @Transactional services, projections, @Version, and @MicronautTest with TestPropertyProvider and Testcontainers. For raw java.sql access without generated repositories, use @511-frameworks-micronaut-jdbc. This should trigger for requests such as Review or implement Micronaut Data repositories and entities; Add transactions, pagination, or projections in Micronaut persistence layer. Part of cursor-rules-java projectApache-2.0
- 513-frameworks-micronaut-db-migrations-flywayUse when you need to add or review Flyway database migrations in a Micronaut application — micronaut-flyway, db/migration scripts, flyway.datasources.* configuration, and alignment with JDBC or Micronaut Data. This should trigger for requests such as Add or review Flyway migrations in a Micronaut project; Configure micronaut-flyway or db/migration layout. Part of cursor-rules-java projectApache-2.0
- 6sense-intent6sense intent data and anonymous buyer identification platform
- a-share-fragmentationA股市场分割/跨市场微结构分析。当用户说"市场分割"、"fragmentation"、"跨市场"、"沪深差异"、"A-H"、"多市场"、"市场割裂"时触发。基于 cn-stock-data 获取数据，分析跨市场微结构差异。支持 formal/brief 两种输出风格。
- a2uiGenerate A2UI 0.8 protocol compliant UI code. Use when building agent-driven interfaces, generating JSONL messages for surfaceUpdate/dataModelUpdate/beginRendering, creating forms, lists, cards, or any UI components that render across web/mobile/desktop platforms.
- aads-architectDesign architecture and contract changes for AADS-ULoRA with explicit module boundaries, compatibility strategy, and testable acceptance criteria. Use for interface, config-schema, data-flow, and cross-module redesign decisions before implementation.
- ab-test-analysisAnalyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.
- abridge-local-dev-loopConfigure Abridge local development with FHIR server, synthetic data,MIT
- 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-searchSearch configured academic metadata sources for a research topic and save numbered abstract-level results.
- acc-create-domain-eventGenerates DDD Domain Events for PHP 8.5. Creates immutable event records with metadata, past-tense naming. Includes unit tests.
- add-backend-testingAdd backend integration testing with Vitest to an existing app. Sets up isolated test database schema and writes tests for tRPC routers.
- add-uiGenerate 5 distinct, production-grade UI variations for a requested new or existing section, component, page, flow, or shell, then help the user preview and apply one. Use when the user asks to add or redesign UI like a hero, pricing, navbar, auth flow, dashboard shell, ecommerce surface, or data component.
- adhxFetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.
- adobe-data-handlingImplement data handling for Adobe APIs including PII redaction in logs,MIT
- advanced-renderingMaster high-performance rendering for large datasets with Datashader. Use this skill when working with datasets exceeding 100M+ points, optimizing visualization performance, or implementing efficient rendering strategies with rasterization and colormapping techniques.
- 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.
- aflow-materials-discoveryAFLOW automatic materials discovery skill for high-throughput DFT calculations and materials database queries
- agent-browserBrowser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
- agent-browserAutomates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
- agent-browserBrowser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
- agent-business-analystExpert business analyst specializing in requirements gathering, process improvement, and data-driven decision making. Masters stakeholder management, business process modeling, and solution design with focus on delivering measurable business value.
- agent-context-managerExpert context manager specializing in information storage, retrieval, and synchronization across multi-agent systems. Masters state management, version control, and data lifecycle with focus on ensuring consistency, accessibility, and performance at scale.
- agent-data-engineerExpert data engineer specializing in building scalable data pipelines, ETL/ELT processes, and data infrastructure. Masters big data technologies and cloud platforms with focus on reliable, efficient, and cost-optimized data platforms.
- 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-legal-advisorExpert legal advisor specializing in technology law, compliance, and risk mitigation. Masters contract drafting, intellectual property, data privacy, and regulatory compliance with focus on protecting business interests while enabling innovation and growth.
- agent-mcp-developerExpert MCP developer specializing in Model Context Protocol server and client development. Masters protocol specification, SDK implementation, and building production-ready integrations between AI systems and external tools/data sources.
- agent-performance-engineerExpert performance engineer specializing in system optimization, bottleneck identification, and scalability engineering. Masters performance testing, profiling, and tuning across applications, databases, and infrastructure with focus on achieving optimal response times and resource efficiency.
- agent-trajectory-safety-risk-diagnosisUse this skill when a user wants evaluator data for judging whether an agent’s actions were safe or unsafe based on its interaction record with tools or environments. Trigger it when ordinary users say things like 'check if the agent did something dangerous', 'judge whether the action trail is risky', 'make safety-monitor data from agent logs', or 'find cases where the agent looked helpful but caused harm'. Plain-language examples include: 'evaluate whether the trajectory is safe', 'make judge data for risky tool use', 'analyze unsafe multi-step agent actions', and 'test if the evaluator can spot hidden safety problems in logs'.
- agentic-kaggle-skillKaggle-first end-to-end competition workflow for scored submissions. Use when Codex must run Kaggle or competitive ML workflows through scored submission, including code competitions, validation, metrics, policy-safe public notebook/discussion intel, tabular/text/image modeling, tuning, ensembling/stacking, proactive multi-notebook architectures, producer notebooks that train models and export private Kaggle artifact datasets, downstream consumer notebooks, Kaggle GPU offload, kagglehub access, hidden-test debugging, and public score retrieval.
- agents-meet-rlTroubleshooter for agentic-RL training, evaluation, and experiment design on LLM agents (single or multi-agent, multi-turn, tool-augmented). Routes a user's symptom to fixes anchored in the corpus. TRIGGER when: user is training, evaluating, or designing experiments for an RL-trained LLM agent; symptoms like reward not moving, eval flat, KL/entropy/length blow-ups, retokenization drift, tool-call parse failures, credit assignment, async-rollout staleness, judge inconsistency, benchmark contamination, pass@k vs pass@1; choices about ablation, baseline, framework, algorithm, reward, or data curation; user names GRPO, PPO, DAPO, veRL, OpenRLHF, slime, AReaL, RAGEN, or similar. SKIP: generic supervised LLM fine-tuning with no RL component; classical RL theory or tabular RL; non-LLM agents. Distilled from the AgentsMeetRL awesome list, snapshot 2026-06-20.
- agentsociety-create-datasetUse when packaging, validating, or publishing a dataset to the AgentSociety platform for later sharing or reuse.
- agentuity-cli-cloud-keyvalue-replStart an interactive repl for working with keyvalue database. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
- ahooksComprehensive ahooks React hooks library specialist. Expert in all 76+ ahooks hooks including state management, effects, data fetching, performance optimization, DOM utilities, and advanced patterns. Use when working with ahooks library, need React hooks utilities or want to learn best practices.
- AI_DATASET_HUAN_LUYEN_VA_SKILL
- ai-annotation-workflowЭксперт по data annotation. Используй для ML labeling, annotation workflows и quality control.
- ai-audit-account-reportTurn account usage data into a concise AI audit outreach package.
- 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-engineer.skillUse when: designing, developing, and deploying AI/ML solutions, selecting models, preparing data, evaluating model performance, integrating AI into products, ensuring responsible AI practices, and monitoring AI systems in production.
- ai-securityUse when assessing AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, or agent tool abuse. Covers MITRE ATLAS technique mapping, injection signature detection, and adversarial robustness scoring.
- ai-securityUse when assessing AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, or agent tool abuse. Covers MITRE ATLAS technique mapping, injection signature detection, and adversarial robustness scoring.MIT
- ai-securityUse when assessing AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, or agent tool abuse. Covers MITRE ATLAS technique mapping, injection signature detection, and adversarial robustness scoring.
- airflow-dag-patternsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
- airflow-dag-patternsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
- airflow-dag-patternsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
- airflow-dag-patternsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
- airflow-dag-patternsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
- airflow-dag-patternsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
- airflow-dag-patternsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.MIT
- airflow-dag-patternsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
- aitask-createCreate a new AI task file with automatic numbering and proper metadata.
- aitask-pickwebPick and implement a task on Claude Code Web. Zero interactive prompts. No cross-branch operations — stores task data locally in .aitask-data-updated/.
- aitask-pr-importCreate an aitask from a pull request by analyzing PR data and generating a structured task with implementation plan.
- aitask-reviewguide-classifyClassify a review guide file by assigning metadata and finding similar existing guides.
- aitask-reviewguide-importImport external content (file, URL, or repository directory) as a reviewguide with proper metadata.
- aitask-web-mergeMerge completed Claude Web branches to main and archive task data.
- akf-trust-metadataThe AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA auditing.
- akf-trust-metadataThe AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA auditing.
- akf-trust-metadataThe AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA auditing.
- algolia-core-workflow-bImplement Algolia indexing pipeline: data sync, partial updates, synonyms,MIT
- algolia-data-handlingImplement Algolia data handling: record transforms, PII filtering beforeMIT
- alpacaThis skill provides integration with the Alpaca Markets API for trading stocks, options, and cryptocurrencies. Use it when you need to interact with Alpaca's brokerage services programmatically, such as placing orders, fetching account data, managing positions, or retrieving market data for automated trading or portfolio management.
- alpha-vantageGet financial data from Alpha Vantage. Use when you need to: (1) retrieve stock quotes and prices, (2) get forex or crypto rates, or (3) access market analytics data.
- alpha-vantageAccess 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.
- alpha-vantageAccess 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.
- alphavantage-earningsConsensus estimates and earnings data from Alpha Vantage.
- alpine-jsAdds reactive and declarative behavior to HTML with minimal JavaScript using Alpine.js directives. Use when adding lightweight interactivity to server-rendered pages, building interactive components without a build step, or when user mentions Alpine.js, x-data, or Tailwind-style reactivity.
- 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
- amazon-asin-lookup-api-skillThis skill helps users extract structured product details from Amazon using a specific ASIN (Amazon Standard Identification Number). Use this skill when the user asks to get Amazon product details by ASIN, lookup Amazon product title and price using ASIN, extract Amazon product ratings and reviews count for a specific ASIN, check Amazon product availability and current price, get Amazon product description and features via ASIN, enrich product catalog with Amazon data using ASIN, monitor Amazon product price changes for specific ASINs, retrieve Amazon product brand and material information, fetch Amazon product images and specifications by ASIN, validate Amazon ASIN and get product metadata.
- 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-competitor-analyzerScrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.
- 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.
- analytics-reportingUse for ad campaign performance analysis, weekly trend reporting, data correlation, and actionable optimization insights.
- analytics-trackingSet up, audit, and debug analytics tracking implementation — GA4, Google Tag Manager, event taxonomy, conversion tracking, and data quality. Use when building a tracking plan from scratch, auditing existing analytics for gaps or errors, debugging missing events, or setting up GTM. Trigger keywords: GA4 setup, Google Tag Manager, GTM, event tracking, analytics implementation, conversion tracking, tracking plan, event taxonomy, custom dimensions, UTM tracking, analytics audit, missing events, tracking broken. NOT for analyzing marketing campaign data — use campaign-analytics for that. NOT for BI dashboards — use product-analytics for in-product event analysis.MIT
- analytics-trackingSet up, audit, and debug analytics tracking implementation — GA4, Google Tag Manager, event taxonomy, conversion tracking, and data quality. Use when building a tracking plan from scratch, auditing existing analytics for gaps or errors, debugging missing events, or setting up GTM. Trigger keywords: GA4 setup, Google Tag Manager, GTM, event tracking, analytics implementation, conversion tracking, tracking plan, event taxonomy, custom dimensions, UTM tracking, analytics audit, missing events, tracking broken. NOT for analyzing marketing campaign data — use campaign-analytics for that. NOT for BI dashboards — use product-analytics for in-product event analysis.MIT
- analytics-trackingSet up, audit, and debug analytics tracking implementation — GA4, Google Tag Manager, event taxonomy, conversion tracking, and data quality. Use when building a tracking plan from scratch, auditing existing analytics for gaps or errors, debugging missing events, or setting up GTM. Trigger keywords: GA4 setup, Google Tag Manager, GTM, event tracking, analytics implementation, conversion tracking, tracking plan, event taxonomy, custom dimensions, UTM tracking, analytics audit, missing events, tracking broken. NOT for analyzing marketing campaign data — use campaign-analytics for that. NOT for BI dashboards — use product-analytics for in-product event analysis.MIT
- analytics-trackingDesign, audit, and improve analytics tracking systems that produce reliable, decision-ready data.
- analytics-trackingDesign, audit, and improve analytics tracking systems that produce reliable, decision-ready data.
- analytics-trackingDesign, audit, and improve analytics tracking systems that produce reliable, decision-ready data.
- analytics-trackingDesign, audit, and improve analytics tracking systems that produce reliable, decision-ready data.
- analytics-trackingDesign, audit, and improve analytics tracking systems that produce reliable, decision-ready data.
- analytics-trackingDesign, audit, and improve analytics tracking systems that produce reliable, decision-ready data.
- analytics-trackingDesign, audit, and improve analytics tracking systems that produce reliable, decision-ready data.
- analyze-financialsForensic financial analysis of bank statements and transaction records. Traces money flows between entities, detects anomalies (structuring, rapid in-out, unusual timing), and generates interactive visualizations. Use when: (1) a user provides bank statements or transaction data and asks for analysis, (2) a user says 'analyze these transactions', 'trace the money', 'follow the money flow', 'check for suspicious transactions', or 'forensic financial analysis', (3) any task involving bank statement review, transaction tracing, money flow mapping, or financial anomaly detection, (4) a user wants to understand where money went, identify suspicious patterns, or map entity relationships from financial data.
- analyzing-database-indexesProcess use when you need to work with database indexing.MIT
- analyzing-entities-and-competitorsProfiles incumbents, awardees, vendors, and likely competitors using upstream vendor intelligence and related federal data. Use when assessing an entity's role, competitive position, or relevance to an opportunity.
- analyzing-financial-statementsThis skill calculates key financial ratios and metrics from financial statement data for investment analysisMIT
- analyzing-on-chain-dataProcess perform on-chain analysis including whale tracking, token flows,MIT
- analyzing-on-chain-data|MIT
- analyzing-system-throughputAnalyze and optimize system throughput including request handling, dataMIT
- android-data-layerGuidance on implementing the Data Layer using Repository pattern, Room (Local), and Retrofit (Remote) with offline-first synchronization.
- android-data-layerGuidance on implementing the Data Layer using Repository pattern, Room (Local), and Retrofit (Remote) with offline-first synchronization.
- android-data-layerGuidance on implementing the Data Layer using Repository pattern, Room (Local), and Retrofit (Remote) with offline-first synchronization.
- android-data-layerGuidance on implementing the Data Layer using Repository pattern, Room (Local), and Retrofit (Remote) with offline-first synchronization.
- android-data-layerGuidance on implementing the Data Layer using Repository pattern, Room (Local), and Retrofit (Remote) with offline-first synchronization.
- android-kotlin-composeCreate production-quality Android applications following Google's official Android architecture guidance with Kotlin, Jetpack Compose, MVVM architecture, Hilt dependency injection, Room database, and multi-module architecture. Triggers on requests to create Android projects, modules, screens, ViewModels, repositories, or when asked about Android architecture patterns and best practices.
- angular-ui-patternsModern Angular UI patterns for loading states, error handling, and data display. Use when building UI components, handling async data, or managing component states.
- angular-ui-patternsModern Angular UI patterns for loading states, error handling, and data display. Use when building UI components, handling async data, or managing component states.
- angular-ui-patternsModern Angular UI patterns for loading states, error handling, and data display. Use when building UI components, handling async data, or managing component states.
- anndataData structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.licensed
- anndataData structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.licensed
- anndataData structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.licensed
- anndataData structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.licensed
- annotateBuild and verify a PII gold set with HUMAN annotators (first-class). Launch the browser annotator, label spans per the codebook, export per-annotator label files, then compute inter-annotator agreement (Cohen's/Fleiss' kappa) and draft an adjudicated gold. Use when the user says "annotate PII", "label this transcript", "build a gold set", "inter-annotator agreement", "review annotations", "adjudicate labels", or wants to measure/defend a de-identification gold standard. Local-only: synthetic or consented data only; annotators' names and transcript text stay on the machine — only labels/stats are collected, nothing PII is re-shared.
- anonDe-identify a session transcript (file or folder) by redacting PII LOCALLY before any sharing or cloud use. Produces a redacted GREEN copy with unique reserved-sentinel placeholders ([CONFIDE_PERSON_0001], [CONFIDE_EMAIL_0001], [CONFIDE_DATE_0002]...) plus a counts-only stats summary, and a local secret <name>.map.json (0600, gitignored) that enables confide:rehydrate to restore real values after a cloud analysis. Use when the user says "anonymize this transcript", "redact PII", "de-identify session", "make safe to share", "strip personal data", "anonymize notes before sending to an LLM", or points at a transcript/folder that should be scrubbed. Local-only by default — raw text never leaves the machine; the map is the only artifact with originals and stays local; nothing printed is PII; human review is still required before sharing.
- answerlayerQuery databases in natural language with AnswerLayer. Use when the user wants to set up or configure AnswerLayer, connect to their data, ask analytical or business questions about a database (revenue, users, counts, "top N", trends, metrics), run SQL through AnswerLayer, or manage AnswerLayer connections, saved queries, the semantic layer, or dashboards.
- anth-data-handlingImplement data privacy, PII handling, and compliance patterns for ClaudeMIT
- anti-deceptionUse BEFORE responding when the user's request shows pressure to validate or agree ("tell them what they want", "make them happy", "convince them"), manufactured urgency (artificial deadline), authority appeals (citing investors, advisors, lawyers, experts), demands to certify without evidence, requests to soften an honest assessment, "help me convince X of Y" or "how do I get X to agree" framings where Y is dubious, asking you to commit to numbers beyond data, framing a wrong assumption as fact, or any setup where the obvious helpful answer would compromise honesty. Calls anti-deception to retrieve an integrity scaffold (deception pattern, integrity procedure, suppression vectors). Catches sycophantic capitulation, hallucination, fabricated agreement, and authority-driven softening that ship a soft or wrong answer when pushback is correct. Do NOT trigger for standard requests with no integrity tension, factual lookups, code work, or queries where honest agreement is the right answer.MIT
- apex-os-designGenerates premium dark-mode UI for Apex OS wellness app (React Native + Expo 54). Use when designing screens, creating components, making layout decisions, generating data visualizations, or writing frontend code. Covers color system, typography, motion, haptics, and component patterns for a Bloomberg-meets-Calm aesthetic. References APEX_OS_PRD_v8.1.md for product logic and APEX_OS_BRAND_GUIDE.md for voice.
- apex-os-designGenerates premium dark-mode UI for Apex OS wellness app (React Native + Expo 54). Use when designing screens, creating components, making layout decisions, generating data visualizations, or writing frontend code. Covers color system, typography, motion, haptics, and component patterns for a Bloomberg-meets-Calm aesthetic. References APEX_OS_PRD_v8.1.md for product logic and APEX_OS_BRAND_GUIDE.md for voice.
- api-database-prismaPrisma ORM, type-safe queries, migrations, relations
- api-interface-designUse when designing public APIs, module boundaries, provider adapters, tool schemas, or data contracts.
- apifyScraping specific platforms with ready connectors. Google Maps businesses, Twitter trends, YouTube subtitles, Instagram/TikTok content. Use for platform-specific data collection.
- apify-core-workflow-bManage Apify datasets, key-value stores, and request queues programmatically.MIT
- apify-ecommerceExtract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.
- apify-security-basicsSecure Apify API tokens, configure proxy access, and protect Actor data.MIT
- apify-ultimate-scraperAI-driven data extraction from 55+ Actors across all major platforms. This skill automatically selects the best Actor for your task.
- apify-ultimate-scraperAI-driven data extraction from 55+ Actors across all major platforms. This skill automatically selects the best Actor for your task.
- apify-ultimate-scraperAI-driven data extraction from 55+ Actors across all major platforms. This skill automatically selects the best Actor for your task.
- apollo-data-handlingApollo.io data management and compliance.MIT
- apollo-prospectingApollo.io prospecting and engagement data integration
- app-store-asoGenerate optimized Apple App Store metadata recommendations with ASO best practices. Use this skill when analyzing app listings, optimizing metadata (title, subtitle, description, keywords), performing competitive analysis, or validating App Store listing requirements. Triggers on queries about App Store optimization, metadata review, or screenshot strategy.
- 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-ui-mvvmExpert for App UI MVVM pattern and dependency injection - ObservableObject, RelayCommand, AppBuilder, service registration, and DI. Use this skill whenever the user wants to create a ViewModel, bind data to UI elements, set up dependency injection, register services, implement commands for button actions, use [ObservableProperty] or [RelayCommand] attributes, create an AppBuilder, or structure their Unity App UI project with the MVVM architecture pattern. Also trigger when the user asks about data binding in UXML, property change notifications, or service lifetimes (transient, singleton, scoped).
- app-ui-mvvmExpert for App UI MVVM pattern and dependency injection - ObservableObject, RelayCommand, AppBuilder, service registration, and DI. Use this skill whenever the user wants to create a ViewModel, bind data to UI elements, set up dependency injection, register services, implement commands for button actions, use [ObservableProperty] or [RelayCommand] attributes, create an AppBuilder, or structure their Unity App UI project with the MVVM architecture pattern. Also trigger when the user asks about data binding in UXML, property change notifications, or service lifetimes (transient, singleton, scoped).
- appdeployDeploy web apps with backend APIs, database, and file storage. Use when the user asks to deploy or publish a website or web app and wants a public URL. Uses HTTP API via curl.
- appdeployDeploy web apps with backend APIs, database, and file storage. Use when the user asks to deploy or publish a website or web app and wants a public URL. Uses HTTP API via curl.
- appfolio-core-workflow-aBuild property management dashboard with AppFolio API data.MIT
- appfolio-security-basicsSecure AppFolio API credentials and tenant data.MIT
- appinsights-instrumentationInstrument a webapp to send useful telemetry data to Azure App Insights
- appinsights-instrumentationInstrument a webapp to send useful telemetry data to Azure App Insights
- appinsights-instrumentationInstrument a webapp to send useful telemetry data to Azure App Insights
- 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-notes-data-handlingHandle Apple Notes data formats: HTML body, attachments, and rich content.MIT
- apply-migrationApply SQL migration files to JusticeHub Supabase database with verification and error handling.
- appwrite-phpAppwrite PHP SDK skill. Use when building server-side PHP applications with Appwrite, including Laravel and Symfony integrations. Covers user management, database/table CRUD, file storage, and functions via API keys.
- 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
- arboretoInfer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.licensed
- arch-flows-visualizerGenerates interactive HTML visualizations of system architectures and flows from structured JSON data. Use when users request visual documentation of components, connections, data flows, processes, or system interactions in an engaging browser-based format. Trigger words include: visualize architecture, architecture flows diagram, interactive system map, create arch visualization, map components and flows, system architecture diagram.
- architectural-forensicsMaster protocol for deconstructing agent frameworks to inform derivative system architecture. Use when (1) analyzing an agent framework's codebase comprehensively, (2) comparing multiple frameworks to select best practices, (3) designing a new agent system based on prior art, (4) documenting architectural decisions with evidence, or (5) conducting technical due diligence on AI agent implementations. This skill orchestrates sub-skills for data substrate, execution engine, cognitive architecture, and synthesis phases.
- architectural-patterns-large-reactEstablish scalable architecture using modular boundaries, domain-driven design, and consistent data access patterns.
- archiving-databasesProcess use when you need to archive historical database records toMIT
- ariaDesigns the data model, API contracts, and structural foundation of the system.
- ariaDesigns the data model, API contracts, and structural foundation of the system.
- arize-ai-provider-integrationINVOKE THIS SKILL when creating, reading, updating, or deleting Arize AI integrations. Covers listing integrations, creating integrations for any supported LLM provider (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM, custom), updating credentials or metadata, and deleting integrations using the ax CLI.
- arize-datasetCreates, manages, and queries Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI. Use when the user needs test data, evaluation examples, or mentions create dataset, list datasets, export dataset, append examples, dataset version, golden dataset, or test set.
- arize-datasetAlso use when the user needs test data or evaluation examples for their model. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI
- arize-linkGenerates deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs. Produces clickable URLs for sharing Arize resources with team members. Use when the user wants to link to or open a trace, span, session, dataset, evaluator, or annotation config in the Arize UI.
- arize-prompt-optimizationOptimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.
- arize-prompt-optimizationINVOKE THIS SKILL when optimizing, improving, or debugging LLM prompts using production trace data, evaluations, and annotations. Covers extracting prompts from spans, gathering performance signal, and running a data-driven optimization loop using the ax CLI.
- arize-prompt-optimizationAlso use when the user wants to make their AI respond better or improve AI output quality. Covers extracting prompts from spans, gathering performance signal, and running a data-driven optimization loop using the ax CLI
- arize-traceDownloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting traces by ID, spans by ID, sessions by ID, and root-cause investigation using the ax CLI. Use when the user wants to look at existing trace data, see what their LLM app is doing, export traces, download spans, investigate errors, or analyze behavior regressions.
- artifact-writingWrite and commit security review artifacts with the required outcome metadata.
- 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.
- asl-skillUse this skill whenever the user wants to process Arterial Spin Labeling (ASL) perfusion MRI data including CBF (cerebral blood flow) quantification, ASL preprocessing (motion correction, partial volume correction, M0 normalization), or ASL-based brain perfusion analysis. Triggers include: 'ASL', 'ASL processing', 'CBF', 'cerebral blood flow', 'perfusion MRI', 'arterial spin labeling', 'pCASL', 'CASL', 'PASL', or any request involving ASL perfusion data.licensed
- asm-patternsAssembly language patterns, calling conventions, and code structure for x86-64 and ARM64. Use when writing, reviewing, or generating .asm/.s/.S files; when implementing functions that interoperate with C/system code; or when establishing correct prologues, epilogues, stack management, SIMD loops, syscall stubs, or PIC data access.MIT
- assemble-communication-runtimeAssemble deterministic communication runtimes from reusable audience, template, and activity capabilities. Covers runtime workflow composition, internal data contracts, candidate generation, scoring, allocation, outputs, and runtime validation. Use when building or refactoring communication runtimes, workflow assembly agents, or end-to-end channel services.
- assets-ext-regressionRun CIP-26 and CIP-68 wire-shape regression tests for the assets-ext extension against the cf-token-metadata-registry V2 API on mainnet. Use when a user wants to verify yaci-store's API output is byte-equivalent to CF, after a code change to assets-ext, or when investigating reported metadata divergences.
- assets-refreshRefresh the Unity AssetDatabase. Use after files were added or updated outside of the Unity API, or to force script recompilation when a '.cs' file changed. Returns a processing/success response and waits for compilation when triggered.
- astrology-skillRetrieval-first astrological interpretation for chart data, with an optional raw-birth-data calculator path when repo tooling is available. Use when the user provides placements, houses, aspects, dignities, sect, rulerships, transits, synastry factors, profections, solar returns, horary details, electional constraints, raw birth data to preprocess, or a structured astrology reading request.MIT
- astronomy-and-astrophysics-expertExpert guidance across solar physics, planetary science, stellar evolution, cosmology, and observational techniques with 2025 mission dataProprietary
- astropyCore Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.licensed
- 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
- async-sqlalchemy-patternsAsync SQLAlchemy 2.0+ database patterns for FastAPI including session management, connection pooling, Alembic migrations, relationship loading strategies, and query optimization. Use when implementing database models, configuring async sessions, setting up migrations, optimizing queries, managing relationships, or when user mentions SQLAlchemy, async database, ORM, Alembic, database performance, or connection pooling.
- atlas-stream-processingManages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.Apache-2.0
- audio-visualization-schedulingVisualize audio frequency/time-domain data synchronized with React updates.
- auditRun a corpus-scale, STATS-ONLY PII audit over a folder of session transcripts LOCALLY and produce an aggregate report — counts by type and by layer, the per-session redaction-rate distribution, document lengths, and a coarse residual proxy. Use when the user says "audit my sessions", "scan folder for PII", "how much PII across these transcripts", "PII stats for my corpus", "is my redaction holding at scale", or points at a directory of transcripts and asks how much personal data it contains. Fully local — raw text never leaves the machine; the report carries ZERO PII values, transcript substrings, or filenames (only anonymized own-NN ids and counts), so the aggregates are safe to surface. Run it on a RED (raw) corpus to size the PII, or on a GREEN (already-redacted) corpus to check residual leakage.
- auditAudit a job's lineage: read metadata, trace, lineage, verdicts. Triggers: audit, lineage, verdict, history.
- audit-cryptoCryptography and data-protection checklist. Use when code hashes passwords, encrypts data, generates tokens or randomness, or compares secrets.
- audit-cryptoCryptography and data-protection checklist. Use when code hashes passwords, encrypts data, generates tokens or randomness, or compares secrets.
- audit-flowInteractive system flow tracing across CODE, API, AUTH, DATA, NETWORK layers with SQLite persistence and Mermaid export. Use for security audits, compliance documentation, flow tracing, feature ideation, brainstorming, debugging, architecture reviews, or incident post-mortems. Triggers on audit, trace flow, document flow, security review, debug flow, brainstorm, architecture review, post-mortem, incident review.MIT
- auth-handlerManage authentication, authorization, and user sessions. Use when dealing with login, sign-up, API protection, middleware, or user data fetching.
- authorizationEnforce authorization checks for external data source access in AI systems. Use when designing, configuring, or reviewing access controls between AI components and external databases or data services.
- 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.
- automated-testing-data-seeding.SKILL
- automating-database-backupsAutomate database backup processes with scheduling, compression, andMIT
- 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
- avalonia-accessibility-and-validationDesign or review Avalonia validation, data-error presentation, accessibility semantics, automation properties, focus order, and testable UI metadata. Use for validation pipelines, screen-reader support, keyboard-only UX, automation-tree issues, or accessibility hardening.
- avalonia-bindings-and-xamlImplement or troubleshoot Avalonia compiled bindings, runtime XAML loading, converters, markup extensions, binding notifications, dynamic resources, and AOT-safe XAML patterns. Use for `x:DataType`, `CompiledBinding`, converter wiring, `AvaloniaRuntimeXamlLoader`, resource lookup issues, or runtime markup refactors.
- avv-pruefungAVV-Prüfung nach Art. 28 DSGVO: Klausel-für-Klausel-Analyse gegen das eigene Playbook, Prüfung von Sub-Auftragsverarbeiter-Klauseln, Drittland-Transferfolgenabschätzung (TIA), EU-Standardvertragsklauseln (EU-SCC) und EU-US Data Privacy Framework (DPF). Richtung (Auftragsverarbeiter oder Verantwortlicher) wird automatisch erkannt.
- aws-penetration-testingProvide comprehensive techniques for penetration testing AWS cloud environments. Covers IAM enumeration, privilege escalation, SSRF to metadata endpoint, S3 bucket exploitation, Lambda code extraction, and persistence techniques for red team operations.
- aws-penetration-testingProvide comprehensive techniques for penetration testing AWS cloud environments. Covers IAM enumeration, privilege escalation, SSRF to metadata endpoint, S3 bucket exploitation, Lambda code extraction, and persistence techniques for red team operations.
- aws-rdsProvision and manage RDS databases. Configure backups, replication, and security. Use when deploying managed relational databases on AWS.MIT
- axiom-storageUse when asking 'where should I store this data', 'should I use SwiftData or files', 'CloudKit vs iCloud Drive', 'Documents vs Caches', 'local or cloud storage', 'how do I sync data', 'where do app files go' - comprehensive decision framework for all iOS storage optionsMIT
- azure-ai-document-intelligence-dotnetAzure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models.
- azure-ai-document-intelligence-dotnetAzure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models.
- azure-ai-document-intelligence-dotnetAzure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models.
- azure-ai-document-intelligence-tsExtract text, tables, and structured data from documents using prebuilt and custom models.
- azure-ai-document-intelligence-tsExtract text, tables, and structured data from documents using prebuilt and custom models.
- azure-ai-ml-pyAzure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.
- azure-ai-ml-pyAzure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.
- azure-ai-ml-pyAzure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.
- azure-ai-ml-py-v2Azure Machine Learning SDK v2 for Python workflow skill. Use this skill when the user needs Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- azure-ai-projects-dotnetAzure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes.
- azure-ai-projects-dotnetAzure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes.
- azure-ai-projects-javaAzure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations.
- azure-ai-projects-javaAzure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations.
- azure-arg-external-evaluation-policy-authorUse when the user wants to author, design, or test an Azure Policy that queries Azure Resource Graph (ARG) at request-time — i.e. a policy whose deny/audit decision depends on data from elsewhere in the subscription (sibling/parent resource state, RG-wide invariants, multi-hop relationships, etc.). Formally called Azure Policy External Evaluation; sometimes referred to colloquially as "Invoke". Drives an iterative KQL co-design loop against the user's real subscription via `az graph query`, then emits a policy definition, assignment, `.http` test flow, and an `EXPLANATION.md` companion. Read-only; never provisions anything.
- azure-cosmos-db-pyBuild Azure Cosmos DB NoSQL services with Python/FastAPI following production-grade patterns. Use when implementing database client setup with dual auth (DefaultAzureCredential + emulator), service layer classes with CRUD operations, partition key strategies, parameterized queries, or TDD patterns for Cosmos. Triggers on phrases like "Cosmos DB", "NoSQL database", "document store", "add persistence", "database service layer", or "Python Cosmos SDK".
- azure-cosmos-javaAzure Cosmos DB SDK for Java. NoSQL database operations with global distribution, multi-model support, and reactive patterns.
- azure-cosmos-javaAzure Cosmos DB SDK for Java. NoSQL database operations with global distribution, multi-model support, and reactive patterns.
- azure-cosmos-pyAzure Cosmos DB SDK for Python (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.
- azure-cosmos-pyAzure Cosmos DB SDK for Python (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.
- azure-cosmos-rustAzure Cosmos DB SDK for Rust (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.
- azure-cosmos-rustAzure Cosmos DB SDK for Rust (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.
- azure-cosmos-tsAzure Cosmos DB JavaScript/TypeScript SDK (@azure/cosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management.
- azure-cosmos-tsAzure Cosmos DB JavaScript/TypeScript SDK (@azure/cosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management.
- azure-cosmos-tsAzure Cosmos DB JavaScript/TypeScript SDK (@azure/cosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management.
- azure-cosmos-tsAzure Cosmos DB JavaScript/TypeScript SDK (@azure/cosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management.
- azure-cosmos-tsAzure Cosmos DB JavaScript/TypeScript SDK (@azure/cosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management.
- azure-cosmos-tsAzure Cosmos DB JavaScript/TypeScript SDK (@azure/cosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management.
- azure-cosmos-tsAzure Cosmos DB JavaScript/TypeScript SDK (@azure/cosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management.
- azure-data-science-vmExpert knowledge for Azure Data Science Virtual Machines development including troubleshooting, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when managing DSVM images/tools, IaC deployment (Bicep/ARM), Key Vault secrets, MLflow, or GPU/Jupyter issues, and other Azure Data Science Virtual Machines related development tasks. Not for Azure Virtual Machines (use azure-virtual-machines), Azure Machine Learning (use azure-machine-learning), Azure Databricks (use azure-databricks), Azure HDInsight (use azure-hdinsight).
- azure-data-tables-javaBuild table storage applications using the Azure Tables SDK for Java. Works with both Azure Table Storage and Cosmos DB Table API.
- azure-data-tables-javaBuild table storage applications using the Azure Tables SDK for Java. Works with both Azure Table Storage and Cosmos DB Table API.
- azure-data-tables-javaBuild table storage applications using the Azure Tables SDK for Java. Works with both Azure Table Storage and Cosmos DB Table API.
- azure-data-tables-pyAzure Tables SDK for Python (Storage and Cosmos DB). Use for NoSQL key-value storage, entity CRUD, and batch operations.
- azure-data-tables-pyAzure Tables SDK for Python (Storage and Cosmos DB). Use for NoSQL key-value storage, entity CRUD, and batch operations.
- azure-eventhub-javaBuild real-time streaming applications with Azure Event Hubs SDK for Java. Use when implementing event streaming, high-throughput data ingestion, or building event-driven architectures.
- azure-eventhub-javaBuild real-time streaming applications with Azure Event Hubs SDK for Java. Use when implementing event streaming, high-throughput data ingestion, or building event-driven architectures.
- azure-eventhub-javaBuild real-time streaming applications with Azure Event Hubs SDK for Java. Use when implementing event streaming, high-throughput data ingestion, or building event-driven architectures.
- azure-eventhub-rustAzure Event Hubs SDK for Rust. Use for sending and receiving events, streaming data ingestion.
- azure-eventhub-rustAzure Event Hubs SDK for Rust. Use for sending and receiving events, streaming data ingestion.
- azure-eventhub-tsHigh-throughput event streaming and real-time data ingestion.
- azure-eventhub-tsHigh-throughput event streaming and real-time data ingestion.
- azure-eventhub-tsHigh-throughput event streaming and real-time data ingestion.
- 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-mgmt-apicenter-pyAzure API Center Management SDK for Python. Use for managing API inventory, metadata, and governance across your organization.
- azure-mgmt-apicenter-pyAzure API Center Management SDK for Python. Use for managing API inventory, metadata, and governance across your organization.
- azure-monitor-ingestion-javaAzure Monitor Ingestion SDK for Java. Send custom logs to Azure Monitor via Data Collection Rules (DCR) and Data Collection Endpoints (DCE).
- azure-monitor-ingestion-javaAzure Monitor Ingestion SDK for Java. Send custom logs to Azure Monitor via Data Collection Rules (DCR) and Data Collection Endpoints (DCE).
- azure-postgresCreate new Azure Database for PostgreSQL Flexible Server instances and configure passwordless authentication with Microsoft Entra ID. Set up developer access, managed identities for apps, group-based permissions, and migrate from password-based to Entra ID authentication. Trigger phrases include "passwordless for postgres", "entra id postgres", "azure ad postgres authentication", "postgres managed identity", "migrate postgres to passwordless".
- azure-postgres-tsConnect to Azure Database for PostgreSQL Flexible Server from Node.js/TypeScript using the pg (node-postgres) package.
- azure-postgres-tsConnect to Azure Database for PostgreSQL Flexible Server from Node.js/TypeScript using the pg (node-postgres) package.
- azure-pricingFetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption. Use when the user asks about the cost of any Azure service, wants to compare SKU prices, needs pricing data for a cost estimate, mentions Azure pricing, Azure costs, Azure billing, or asks about Copilot Studio pricing, Copilot Credits, or agent usage estimation. Covers compute, storage, networking, databases, AI, Copilot Studio, and all other Azure service families.
- azure-resource-manager-mysql-dotnetAzure MySQL Flexible Server SDK for .NET. Database management for MySQL Flexible Server deployments.
- azure-resource-manager-mysql-dotnetAzure MySQL Flexible Server SDK for .NET. Database management for MySQL Flexible Server deployments.
- azure-resource-manager-postgresql-dotnetAzure PostgreSQL Flexible Server SDK for .NET. Database management for PostgreSQL Flexible Server deployments.
- azure-resource-manager-postgresql-dotnetAzure PostgreSQL Flexible Server SDK for .NET. Database management for PostgreSQL Flexible Server deployments.
- azure-resource-manager-postgresql-dotnetAzure PostgreSQL Flexible Server SDK for .NET. Database management for PostgreSQL Flexible Server deployments.
- azure-security-keyvault-secrets-javaAzure Key Vault Secrets Java SDK for secret management. Use when storing, retrieving, or managing passwords, API keys, connection strings, or other sensitive configuration data.
- azure-security-keyvault-secrets-javaAzure Key Vault Secrets Java SDK for secret management. Use when storing, retrieving, or managing passwords, API keys, connection strings, or other sensitive configuration data.
- azure-storage-blob-javaBuild blob storage applications with Azure Storage Blob SDK for Java. Use when uploading, downloading, or managing files in Azure Blob Storage, working with containers, or implementing streaming data operations.
- azure-storage-file-datalake-pyAzure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file/directory operations.
- azure-storage-file-datalake-pyAzure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file/directory operations.
- azure-storage-file-datalake-pyAzure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file/directory operations.
- b2c-marketing-voiceAnti-slop principles for B2C social posts and outreach. Use BEFORE drafting an email, X post, or prospect message so the body reads like a person, not an LLM. Pairs with the Phase 10 voice contract (data/companies/<slug>/voice.yaml) — this skill is the meta-principles; voice.yaml is the per-company specifics. Distilled from public marketing patterns (jackfriks/b2c-marketing on ClawHub) — not a copy.MIT
- Backend MigrationsCreate and manage database migrations with reversible changes, zero-downtime deployments, and proper version control. Use this skill when creating database migration files, modifying database schemas, adding or removing tables or columns, creating indexes, or managing database versioning. When working with migration files (e.g., `*_migration.rb`, `*.migration.ts`, `alembic/versions/*.py`), schema changes, or database rollback procedures. When implementing backwards-compatible database changes or separating schema migrations from data migrations.
- Backend QueriesWrite secure, performant, and optimized database queries using parameterized queries, eager loading, proper indexing, and transaction management. Use this skill when writing database queries in controllers, repositories, services, or model methods, when using query builders or ORM methods, when implementing filtering/sorting/pagination logic, when optimizing N+1 query problems with eager loading, when working with joins and complex queries, when implementing query caching, or when wrapping related operations in database transactions.
- backend-coreGenerate backend routes, handle requests and responses, and connect applications to databases. Use for API and server-side development.
- backend-debugging-dependency-resolutionSystematic approach to diagnose and resolve backend service issues including dependency conflicts, database schema mismatches, import errors, and middleware configuration problems in FastAPI applications.
- backend-dev-guidelinesComprehensive backend development guide for Node.js/Express/TypeScript microservices. Use when creating routes, controllers, services, repositories, middleware, or working with Express APIs, Prisma database access, Sentry error tracking, Zod validation, unifiedConfig, dependency injection, or async patterns. Covers layered architecture (routes → controllers → services → repositories), BaseController pattern, error handling, performance monitoring, testing strategies, and migration from legacy patterns.
- backend-dev-guidelinesYou are a senior backend engineer operating production-grade services under strict architectural and reliability constraints. Use when routes, controllers, services, repositories, express middleware, or prisma database access.
- backend-dev-guidelinesYou are a senior backend engineer operating production-grade services under strict architectural and reliability constraints. Use when routes, controllers, services, repositories, express middleware, or prisma database access.
- backend-dev-guidelinesYou are a senior backend engineer operating production-grade services under strict architectural and reliability constraints. Use when routes, controllers, services, repositories, express middleware, or prisma database access.
- backend-dev-guidelinesYou are a senior backend engineer operating production-grade services under strict architectural and reliability constraints. Use when routes, controllers, services, repositories, express middleware, or prisma database access.
- backend-engineerExpert in Lighthouse Journey Timeline backend architecture, service patterns, testing, and API development using Express.js, TypeScript, and Drizzle ORM. Use when implementing backend services, APIs, controllers, database queries, authentication, permissions, error handling, testing server code, or writing migrations.
- backend-patternsBackend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
- BackendDataAgentSpecialist in backend and data integration. Analyzes the impact on APIs, services, data models, validations, and persistence strategies to ensure consistency and correctness in the data layer.
- backup-managerCreate and manage database backups across environments
- bamboohr-reference-architectureImplement BambooHR reference architecture for production HR data pipelines.MIT
- baoyu-diagramCreate professional, dark-themed SVG diagrams of any type — architecture diagrams, flowcharts, sequence diagrams, structural diagrams, mind maps, timelines, illustrative/conceptual diagrams, and more. Use this skill whenever the user asks for any kind of technical or conceptual diagram, visualization of a system, process flow, data flow, component relationship, network topology, decision tree, org chart, state machine, or any visual representation of structure/logic/process. Also trigger when the user says "画个图" "画一个架构图" "diagram" "flowchart" "sequence diagram" "draw me a ..." or uploads content and asks to visualize it. Output is always a standalone .svg file.
- baoyu-youtube-transcriptDownloads YouTube video transcripts/subtitles and cover images by URL or video ID. Supports multiple languages, translation, chapters, and speaker identification. Caches raw data for fast re-formatting. Use when user asks to "get YouTube transcript", "download subtitles", "get captions", "YouTube字幕", "YouTube封面", "视频封面", "video thumbnail", "video cover image", or provides a YouTube URL and wants the transcript/subtitle text or cover image extracted.
- baseDatabase management, forms, reports, and data operations with LibreOffice Base.
- baseDatabase management, forms, reports, and data operations with LibreOffice Base.
- BastianLead Backend Engineer. Use when the task involves server-side logic, database architecture, API design, business logic, or connecting to external tools.
- batch-qr-generatorUse when asked to generate multiple QR codes from CSV data, create bulk QR codes with tracking, or generate QR codes for events/products.
- batch-qr-generatorUse when asked to generate multiple QR codes from CSV data, create bulk QR codes with tracking, or generate QR codes for events/products.
- bayesian-reasoning-calibrationApplies Bayesian reasoning to systematically update probability estimates with new evidence, helping make better forecasts and avoid overconfidence. Use when making predictions or judgments under uncertainty, forecasting outcomes, evaluating probabilities, testing hypotheses, calibrating confidence, assessing risks with uncertain data, or when user mentions priors, likelihoods, Bayes theorem, probability updates, forecasting, calibration, or belief revision.
- beads-issue-managementCreating, updating, and closing Beads issues with proper types, priorities, and metadata
- benchling-integrationBenchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
- benchling-integrationBenchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with benchling-sdk or the v2 API.MIT
- benchling-integrationBenchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.Unknown
- benchling-integrationBenchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
- benchmark-extractorextract structured benchmark information from academic papers when the input includes multiple pdfs, abstracts, or links and the user needs chinese notes or table-ready fields for tasks, datasets, metrics, baselines, sota claims, code release, or evaluation settings.
- benchmark-extractorextract structured benchmark information from academic papers when the input includes multiple pdfs, abstracts, or links and the user needs chinese notes or table-ready fields for tasks, datasets, metrics, baselines, sota claims, code release, or evaluation settings.
- 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
- bigdata-skill>-
- bilibili-sourceFetch comprehensive, login-free data for any Bilibili (B站) video — title, UP name and follower count, publish date, partition, tags, per-part cids, live stats (view, like, coin, favorite, share, reply, danmaku), and full danmaku (bullet-comment) text. Use this skill whenever working with a Bilibili video and needing real, citable numbers or metadata — ingesting a Bilibili source into a knowledge base, analyzing why a video performed, verifying a creator's claimed metrics, building a case study, or any time a Bilibili view/like/favorite count is about to be written into a document — fetch it, never hand-type or estimate it. Accepts BVID, av numbers, b23.tv short links, or full URLs. Subtitles are also covered but require the user's Bilibili login.
- bim-validation-reportGenerate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.
- bim-validation-reportGenerate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.
- bim-validation-reportGenerate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.
- bim-validation-reportGenerate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.
- 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-crispr-screens-copy-number-correctionCorrects the gene-independent copy-number artifact in CRISPR-Cas9 screens (Aguirre 2016 / Munoz 2016 Cancer Discov) where amplified loci appear essential from DNA-damage burden of simultaneous cuts. Covers the p53-dependent G2-arrest mechanism, CRISPRcleanR (Iorio 2018) unsupervised pre-hoc correction, CERES (Meyers 2017) joint CN + gene-effect model, Chronos (Dempster 2021) DepMap-standard population-dynamics + CN model with lowest residual bias, the decision tree by data availability, the Spearman LFC-vs-CN diagnostic, focal-amplification examples (ERBB2 in HER2+, MYC in colorectal, FGFR1 in head and neck), and CRISPRi/a alternatives that bypass the artifact. Use when screening cancer cell lines, diagnosing essentiality at amplified loci, choosing CRISPRcleanR / CERES / Chronos, deciding whether CN correction is needed before MAGeCK / BAGEL2 / drugZ, or switching from Cas9 to CRISPRi.
- bio-data-visualization-color-palettesSelect and apply colorblind-friendly palettes for scientific figures using viridis, RColorBrewer, and custom color schemes. Use when selecting colorblind-friendly palettes for figures.
- bio-epitranscriptomics-m6a-peak-callingCall m6A peaks from MeRIP-seq IP vs input comparisons. Use when identifying m6A modification sites from methylated RNA immunoprecipitation data.
- bio-epitranscriptomics-merip-preprocessingAlign and QC MeRIP-seq IP and input samples for m6A analysis. Use when preparing MeRIP-seq data for peak calling or differential methylation analysis.
- bio-hi-c-analysis-contact-pairsProcess Hi-C read pairs using pairtools. Parse alignments, filter duplicates, classify pairs, and generate contact statistics from Hi-C sequencing data.
- bio-hi-c-analysis-hic-data-ioLoad, convert, and manipulate Hi-C contact matrices using cooler format. Read .cool/.mcool files, convert from .hic format, access matrix data, and export to different formats.
- bio-hi-c-analysis-tad-detectionCall topologically associating domains (TADs) from Hi-C data using insulation score, HiCExplorer, and other methods. Identify domain boundaries and hierarchical domain structure. Use when calling TADs from Hi-C insulation scores.
- bio-hi-c-analysis-tad-detectionCall topologically associating domains (TADs) from Hi-C data using insulation score, HiCExplorer, and other methods. Identify domain boundaries and hierarchical domain structure. Use when calling TADs from Hi-C insulation scores.
- bio-hi-c-analysis-tad-detectionCall topologically associating domains (TADs) from Hi-C data using insulation score, HiCExplorer, and other methods. Identify domain boundaries and hierarchical domain structure. Use when calling TADs from Hi-C insulation scores.
- bio-hi-c-analysis-tad-detectionCall topologically associating domains (TADs) from Hi-C data using insulation score, HiCExplorer, and other methods. Identify domain boundaries and hierarchical domain structure. Use when calling TADs from Hi-C insulation scores.
- bio-machine-learning-biomarker-discoverySelects informative features for biomarker discovery using Boruta all-relevant selection, mRMR minimum redundancy, and LASSO regularization. Use when identifying biomarkers from high-dimensional omics data.
- bio-microbiome-functional-predictionPredict metagenome functional content from 16S rRNA marker gene data using PICRUSt2. Infer KEGG, MetaCyc, and EC abundances from ASV tables. Use when functional profiling is needed from 16S data without shotgun metagenomics sequencing.
- bio-microbiome-taxonomy-assignmentTaxonomic classification of ASVs using reference databases like SILVA, GTDB, or UNITE. Covers naive Bayes classifiers (DADA2, IDTAXA) and exact matching approaches. Use when assigning taxonomy to ASVs after DADA2 amplicon processing.
- bio-spatial-transcriptomics-spatial-preprocessingQuality control, filtering, normalization, and feature selection for spatial transcriptomics data. Calculate QC metrics, filter spots/cells, normalize counts, and identify highly variable genes. Use when filtering and normalizing spatial transcriptomics data.
- bio-workflows-multi-omics-pipelineEnd-to-end multi-omics integration workflow. Orchestrates data harmonization, MOFA/mixOmics integration, factor interpretation, and downstream analysis across transcriptomics, proteomics, metabolomics, and other modalities.
- bio-workflows-riboseq-pipelineEnd-to-end Ribo-seq analysis from FASTQ to translation efficiency and ORF detection. Use when analyzing ribosome profiling data to study translation.
- biopythonBiopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O, database access, structural bioinformatics, phylogenetics, and many other bioinformatics tasks.Unknown
- biopythonBiopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O, database access, structural bioinformatics, phylogenetics, and many other bioinformatics tasks.Unknown
- biopythonBiopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O, database access, structural bioinformatics, phylogenetics, and many other bioinformatics tasks.Unknown
- bioservicesUnified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.GPLv3 license
- bknd-bulk-operationsUse when performing bulk insert, update, or delete operations in Bknd. Covers createMany, updateMany, deleteMany, batch processing with progress, chunking large datasets, error handling strategies, and transaction-like patterns.
- blog-figure-svgStop using stock photos. Generate accessible, lightweight SVG figures for any blog or CMS - flow diagrams, comparison bar charts, taxonomy/Venn diagrams, annotated terminal mocks, and 1600x840 OG feature cards. Hand-authored SVG (no embedded fonts, no external assets, no AI-image latency) with a consistent palette, screen-reader metadata (title + desc + aria-labelledby), and a figcaption-required handoff to the writer. Rasterizes to compressed PNG ready for Ghost, WordPress, Webflow, or any static-site generator. Built for content marketers, indie hackers, and dev-tool blogs that want unique illustrations on every post without paying a designer or burning Midjourney credits. Trigger when the user says: 'add a figure to the post', 'illustrate this comparison', 'draw a flow diagram for X', 'make a feature/OG image', or any request to produce a chart/diagram for editorial use.MIT-0
- boot-overseerBootstrap phase context for Overseer. Provides phase under review with full file contents and card metadata.
- 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.
- brexBrex API for corporate card, expenses, payments, transactions, accounts, and team data. Use when user mentions "Brex", "corporate card", "expenses", "card transactions", "spend limits", "payments", or Brex finance automation.
- bricksAuthor Bricks Builder (WordPress) layouts, templates, and full designs as paste-ready JSON. Use for any Bricks task — sections, pages, headers/footers, query loops, ACF/dynamic data, faceted filters, conditions, interactions/animations, popups, WooCommerce templates, custom elements, or hooks. Verified against Bricks 2.3.6 source.
- bright-data-mcp|MIT
- brightdata-ci-integrationConfigure Bright Data CI/CD integration with GitHub Actions and testing.MIT
- brightdata-common-errorsDiagnose and fix Bright Data common errors and exceptions.MIT
- brightdata-core-workflow-aScrape structured data with Bright Data Scraping Browser using Playwright/Puppeteer.MIT
- brightdata-core-workflow-bExecute Bright Data secondary workflow: Core Workflow B.MIT
- brightdata-cost-tuningOptimize Bright Data costs through tier selection, sampling, and usageMIT
- brightdata-debug-bundleCollect Bright Data debug evidence for support tickets and troubleshooting.MIT
- brightdata-deploy-integrationDeploy Bright Data integrations to Vercel, Fly.io, and Cloud Run platforms.MIT
- brightdata-hello-worldCreate a minimal working Bright Data example.MIT
- brightdata-install-authInstall and configure Bright Data SDK/CLI authentication.MIT
- brightdata-local-dev-loopConfigure Bright Data local development with hot reload and testing.MIT
- brightdata-performance-tuningOptimize Bright Data API performance with caching, batching, and connectionMIT
- brightdata-prod-checklistExecute Bright Data production deployment checklist and rollback procedures.MIT
- brightdata-rate-limitsImplement Bright Data rate limiting, backoff, and idempotency patterns.MIT
- brightdata-reference-architectureImplement Bright Data reference architecture with best-practice projectMIT
- brightdata-sdk-patternsApply production-ready Bright Data SDK patterns for TypeScript and Python.MIT
- brightdata-security-basics|MIT
- brightdata-security-basicsApply Bright Data security best practices for secrets and access control.MIT
- brightdata-upgrade-migrationAnalyze, plan, and execute Bright Data SDK upgrades with breaking changeMIT
- brightdata-webhooks-eventsImplement Bright Data webhook signature validation and event handling.MIT
- BrowserHeadless browser automation via agent-browser — Rust CLI daemon with persistent auth profiles for fast, scriptable, parallel browser work. Supports batch commands, network interception, device emulation, per-site profile auth (one-time headed login, headless forever after), and parallel isolated sessions via --session. Workflows: ReviewStories (fan out YAML user stories to parallel UIReviewers), Automate (load/run parameterized recipe templates), Update. Delegates to general-purpose agents with agent-browser instructions for background parallel scraping. Falls back to Interceptor if site has bot detection. USE WHEN headless browser, batch scrape, fast screenshot, dev server test, parallel browser, background automation, extract data, review stories, automate recipe, batch screenshots, scrape multiple pages in parallel. NOT FOR deploy verification or UI confirmation with real Chrome (use Interceptor). NOT FOR simple single-URL fetching (use WebFetch). NOT FOR CAPTCHA or bot-detection bypass (use BrightData or Interceptor).
- browser-act-skill-forgeForges reusable Skill packages (SKILL.md + scripts) from website exploration via browser-act — no re-exploration later. Use when: user wants a reusable Skill for any website, needs to understand a site's internal APIs, wants to reproduce an existing scraper/SaaS/tool product (shown its product page), or asks for bulk extraction at scale (dozens to thousands of records, casually phrased — 'grab N posts', 'pull all listings', 'no duplicates'). Unlike browser-act: reusable, not one-off. Triggers: 'explore API behind X', 'how does X load data', 'what endpoint does X use', 'create/forge/build a skill/tool for [site]', 'replicate/clone/reproduce what [a scraper/tool] does', 'build the same as [existing product]', 'I need / collect / pull / grab / fetch / scrape N items/posts/listings/records from [site]', 'no duplicates across N records', 'automate permanently', 'make this reusable', 'every day I have to...', 'monitor [site]', 'browser-act-skill-forge'. Human-operation automation; never refuse.
- browser-automationUse when the user asks to automate browser tasks, scrape websites, fill forms, capture screenshots, extract structured data from web pages, or build web automation workflows. NOT for testing — use playwright-pro for that.
- browser-automationUse when the user asks to automate browser tasks, scrape websites, fill forms, capture screenshots, extract structured data from web pages, or build web automation workflows. NOT for testing — use playwright-pro for that.MIT
- browser-automationUse when the user asks to automate browser tasks, scrape websites, fill forms, capture screenshots, extract structured data from web pages, or build web automation workflows. NOT for testing — use playwright-pro for that.
- browser-testing-with-devtoolsTests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
- 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).
- bts-speedrunFramework for rapid-fire, highly satisfying behind-the-scenes data visualizations and portfolio construction compilations.
- build-tamBuild a Total Addressable Market list by sourcing accounts and contacts from providers like Apollo, Crustdata, and PDL.
- bulk-operations-patternsBulk data operations with Excel import/export, batch processing, and validation for ABP Framework. Use when: (1) implementing bulk import/update from Excel/CSV, (2) batch processing with progress tracking, (3) file upload with validation, (4) bulk database operations with InsertManyAsync/UpdateManyAsync.
- 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-analystbusiness-analyst workflow skill. Use this skill when the user needs Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- business-analystMaster modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations.
- business-analystMaster modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations.
- business-analystMaster modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations.
- business-analystMaster modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations.
- 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.
- byted-mediakit-audio音频处理，涵盖音频处理和增强、内容理解等能力。包含能力：separate-voice, probe-audio-metadata。当用户需要使用 audio 域的 MediaKit CLI 能力时触发。MIT
- BytesAgain Crypto — Professional Market Data & IndicatorsReal-time crypto prices and 100+ technical indicators (RSI, MACD, etc.) using Binance API. 支持实时行情监控、指标计算及全网资产扫描。Pure technical reference, zero external ads.
- cachingCaching strategies, invalidation, eviction policies, HTTP caching, distributed caching, and anti-patterns. Use when designing cache layers, choosing eviction policies, debugging stale data, or optimizing read-heavy workloads.
- calcSpreadsheet creation, format conversion (ODS/XLSX/CSV), formulas, data automation with LibreOffice Calc.
- calcSpreadsheet creation, format conversion (ODS/XLSX/CSV), formulas, data automation with LibreOffice Calc.
- calldata-decoderDecode raw EVM transaction calldata into a human-readable function call. Resolves 4-byte selectors via openchain.xyz and best-effort decodes parameters. Zero dependencies, works from raw hex or a tx hash. Use when an agent needs to understand what an arbitrary `0x…` blob is actually doing.
- camoufox-stealth-browserStealth browser automation with Camoufox for hostile sites that block standard Playwright or Selenium flows. Browser workflows prefer camoufox-nixos on NixOS hosts and fall back to distrobox plus pybox on compatible Linux setups. Use when Cloudflare, Datadome, Airbnb, Yelp, or similar anti-bot targets require persistent login and session reuse. Browser lane only; API helpers are secondary.
- canva-data-handlingImplement Canva Connect API data handling, PII protection, and GDPR/CCPAMIT
- card-twitterTwitter quote or data card designed to pair with a post.
- card-twitterTwitter quote or data card designed to pair with a post.
- 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.
- careercopilot-tool-creatorScaffolds a new Python tool utility in 'src/tools/' for agents to call. Tools are utility functions (web scraping, PDF parsing, database queries) that agents use. Use when creating utilities that agents depend on.
- cc-skill-backend-patternsBackend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
- cc-skill-backend-patternsBackend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
- cc-skill-backend-patternsBackend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
- cc-skill-clickhouse-ioClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
- cc-skill-clickhouse-ioClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
- cdo-review/cs:cdo-review <plan> — Decision-driven Chief Data Officer interrogation of any plan that touches training data, data architecture, data productization, or data team hiring. Use when validating training-data rights before model work, choosing warehouse vs lakehouse vs mesh, or valuing data assets for productization or M&A.
- cdo-review/cs:cdo-review <plan> — Decision-driven Chief Data Officer interrogation of any plan that touches training data, data architecture, data productization, or data team hiring. Use when validating training-data rights before model work, choosing warehouse vs lakehouse vs mesh, or valuing data assets for productization or M&A.
- cdo-review/cs:cdo-review <plan> — Decision-driven Chief Data Officer interrogation of any plan that touches training data, data architecture, data productization, or data team hiring. Use when validating training-data rights before model work, choosing warehouse vs lakehouse vs mesh, or valuing data assets for productization or M&A.MIT
- cellxgene-censusQuery the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene expression slices, Census summary counts, source H5AD URIs/downloads, embeddings, spatial Census data, or reference atlas comparisons across organisms, tissues, diseases, assays, and cell types. For analyzing your own local single-cell data use scanpy, anndata, or scvi-tools.MIT
- cgm-analyzerAnalyzes continuous glucose monitor CSV data, calculates TIR/TAR/TBR metrics, generates AGP charts, and provides AI-powered diabetes management recommendations. Handles Dexcom, FreeStyle Libre, Guardian formats.
- check-repository-patternValidates database access follows repository pattern, detects god-trait regression, ensures focused repositories
- checking-hipaa-complianceCheck HIPAA compliance for healthcare data security requirements. UseMIT
- 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.
- chemical-structure-converterConvert between IUPAC names, SMILES strings, molecular formulas, and common names for chemical compounds. Supports SMILES validation, batch processing, structure standardization, and cheminformatics database preparation for drug discovery workflows.MIT
- chief-data-officer-advisorChief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data architecture, valuing data for fundraising or M&A, sequencing data hires, or when user mentions CDO, chief data officer, data strategy, data mesh, lakehouse, training data, data product, data monetization, or customer data asset. NOT a tactical data engineering skill — strategic decisions only.MIT
- chief-data-officer-advisorChief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data architecture, valuing data for fundraising or M&A, sequencing data hires, or when user mentions CDO, chief data officer, data strategy, data mesh, lakehouse, training data, data product, data monetization, or customer data asset. NOT a tactical data engineering skill — strategic decisions only.MIT
- chief-data-officer-advisorChief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data architecture, valuing data for fundraising or M&A, sequencing data hires, or when user mentions CDO, chief data officer, data strategy, data mesh, lakehouse, training data, data product, data monetization, or customer data asset. NOT a tactical data engineering skill — strategic decisions only.MIT
- chief-data-officer-advisorChief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data architecture, valuing data for fundraising or M&A, sequencing data hires, or when user mentions CDO, chief data officer, data strategy, data mesh, lakehouse, training data, data product, data monetization, or customer data asset. NOT a tactical data engineering skill — strategic decisions only.MIT
- chief-data-officer-advisorChief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data architecture, valuing data for fundraising or M&A, sequencing data hires, or when user mentions CDO, chief data officer, data strategy, data mesh, lakehouse, training data, data product, data monetization, or customer data asset. NOT a tactical data engineering skill — strategic decisions only.MIT
- chinese-thesis-workbenchStandardize, draft, revise, check, and package Chinese undergraduate thesis or graduation-design papers from school templates, task books, proposals, sample papers, source code, screenshots, databases, APIs, tests, literature PDFs, Word comments, and existing drafts. Use when the user asks to write, generate, refactor, polish, reduce AIGC style, verify, format, or deliver a Chinese thesis with evidence traceability, figure registries, workflow logs, chapter word control, screenshots, references, DOCX output, and appendix DOCX.
- choose-covariance-estimatorPick which precise covariance estimator to use for a given dataset. Use when you have data X and are unsure which estimator fits its dimension, conditioning, or tail behavior. Wraps precise.suggest() and covariance_features().
- chronos-data-flowTest Chronos Docker stack data flow across container states. Run to verify Core, Query Service, and MCP connectivity, health endpoints, event creation/query, and end-to-end data flow. Triggers on "test data flow", "check data flow", "chronos health", "test chronos stack", "verify containers".
- 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.
- cis-aws-database-10.8Ensure Monitoring and Alerting is Enabled
- cis-aws-database-11.6Ensure Monitoring and Logging is Enabled
- cis-aws-database-3.12Ensure Database is not Publicly accessible
- cis-aws-database-3.8Ensure to Regularly Patch Systems
- ciso-review/cs:ciso-review <plan> — Risk-paranoid interrogation of any plan that touches data, compliance, or production access. Use when launching features that handle customer data, before a SOC 2 / ISO audit, or after any incident or near-miss.
- ciso-review/cs:ciso-review <plan> — Risk-paranoid interrogation of any plan that touches data, compliance, or production access. Use when launching features that handle customer data, before a SOC 2 / ISO audit, or after any incident or near-miss.
- ciso-review/cs:ciso-review <plan> — Risk-paranoid interrogation of any plan that touches data, compliance, or production access. Use when launching features that handle customer data, before a SOC 2 / ISO audit, or after any incident or near-miss.MIT
- 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
- clade-data-handlingHandle sensitive data with Claude \u2014 PII redaction, conversation\MIT
- claimable-postgresProvision instant temporary Postgres databases via Claimable Postgres by Neon (pg.new). No login or credit card required. Use for quick Postgres environments and throwaway DATABASE_URL for prototyping.
- claimable-postgresProvision instant temporary Postgres databases via Claimable Postgres by Neon (pg.new). No login or credit card required. Use for quick Postgres environments and throwaway DATABASE_URL for prototyping.
- claims-precedentsDatabase of insurance claim precedents and comparable settlements for evaluating claim values
- clari-core-workflow-aBuild a Clari forecast export pipeline to your data warehouse.MIT
- clari-local-dev-loopSet up local development for Clari API integrations with mock data.MIT
- clari-performance-tuningOptimize Clari API performance with caching, batch exports, and dataMIT
- clari-security-basicsSecure Clari API tokens and implement data handling best practices.MIT
- claude-apiBuild apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic SDKs, or Agent SDK. DO NOT TRIGGER when: code imports `openai`/other AI SDK, general programming, or ML/data-science tasks.licensed
- claude-apiBuild apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic SDKs, or Agent SDK. DO NOT TRIGGER when: code imports `openai`/other AI SDK, general programming, or ML/data-science tasks.licensed
- claude-apiBuild apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic SDKs, or Agent SDK. DO NOT TRIGGER when: code imports `openai`/other AI SDK, general programming, or ML/data-science tasks.licensed
- claude-apiBuild apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic SDKs, or Agent SDK. DO NOT TRIGGER when: code imports `openai`/other AI SDK, general programming, or ML/data-science tasks.licensed
- claude-d3js-skillThis skill provides guidance for creating sophisticated, interactive data visualisations using d3.js.
- claude-d3js-skillThis skill provides guidance for creating sophisticated, interactive data visualisations using d3.js.
- claude-d3js-skillThis skill provides guidance for creating sophisticated, interactive data visualisations using d3.js.
- claude-d3js-skillThis skill provides guidance for creating sophisticated, interactive data visualisations using d3.js.
- claude-d3js-skillThis skill provides guidance for creating sophisticated, interactive data visualisations using d3.js.
- clay-data-handlingImplement GDPR/CCPA-compliant data handling for Clay enrichment pipelines.MIT
- clay-data-handlingImplement GDPR/CCPA-compliant data handling for Clay enrichment pipelines.MIT
- clay-hello-worldSend your first record to Clay and get enriched data back.MIT
- clay-observabilityMonitor Clay enrichment pipeline health, credit consumption, and dataMIT
- clay-policy-guardrailsImplement credit spending limits, data privacy enforcement, and inputMIT
- clean-architectureStructure software around the Dependency Rule: source code dependencies point inward from frameworks to use cases to entities. Use when the user mentions "architecture layers", "dependency rule", "ports and adapters", "hexagonal architecture", "onion architecture", "screaming architecture", "where should business logic go", "decouple from the database", "swap the framework without a rewrite", "business logic is tangled with the framework", or "keep business rules independent". Also trigger when deciding which layer code belongs in, isolating core logic from infrastructure, defining module boundaries, or debating whether the framework should call your code or the reverse. Covers component principles, boundaries, and SOLID. For code-level quality, see clean-code. For domain modeling, see domain-driven-design.MIT
- clearing-source-cachesEjecting all data from local sources is as simple as calling .clear()
- clerk-data-handlingHandle user data, privacy, and GDPR compliance with Clerk.MIT
- cli-anything-openrefineUse OpenRefine through an agent-native CLI for importing messy data, applying JSON operation histories, inspecting rows, exporting cleaned data, and managing session undo/redo.
- clickhouse-core-workflow-bInsert, query, and aggregate data in ClickHouse with real SQL patterns.MIT
- clickhouse-data-handlingHandle data lifecycle in ClickHouse \u2014 TTL expiration, data deletion\MIT
- clickhouse-debug-bundleCollect ClickHouse diagnostic data \u2014 system tables, query logs,\MIT
- clickhouse-hello-worldCreate your first ClickHouse table, insert data, and run analyticalMIT
- clickhouse-ioClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
- clickhouse-ioClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
- clickhouse-queryRun ClickHouse queries for analytics, metrics analysis, and event data exploration. Use when you need to query ClickHouse directly, analyze metrics, check event tracking data, or test query performance. Read-only by default.
- clickhouse-webhooks-eventsIngest data into ClickHouse from webhooks, Kafka, and streaming sourcesMIT
- clickup-data-handlingHandle ClickUp data exports, PII redaction, GDPR compliance, andMIT
- clinic-data-proxy|
- clinpgx-databaseAccess ClinPGx pharmacogenomics data (successor to PharmGKB). Query gene-drug interactions, CPIC guidelines, allele functions, for precision medicine and genotype-guided dosing decisions.Unknown
- close-human-intervention-and-failing-ci-prsClose batches of graalvm-reachability-metadata pull requests that either have the `human-intervention` label or failing CI, and revert their linked issues by clearing assignees and moving project status to `Todo`.
- cloud-aliyun-rdsProvides comprehensive guidance for Alibaba Cloud RDS including database creation, configuration, backups, and RDS management. Use when the user asks about Alibaba Cloud RDS, needs to create RDS databases, configure RDS, or manage Alibaba Cloud database services.licensed
- cloud-azure-storageProvides comprehensive guidance for Azure Storage including blob storage, file shares, queues, and storage account management. Use when the user asks about Azure Storage, needs to store data in Azure, configure Azure Storage, or work with Azure storage services.licensed
- cloud-tencent-cdbProvides comprehensive guidance for Tencent Cloud CDB including database creation, configuration, backups, and CDB management. Use when the user asks about Tencent Cloud CDB, needs to create CDB databases, configure CDB, or manage Tencent Cloud database services.licensed
- cloudbaseCloudBase is a full-stack development and deployment toolkit for building and launching websites, Web apps, 微信小程序 (WeChat Mini Programs), and mobile apps with backend, database, hosting, cloud functions, storage, AI capabilities, Agent, and UI guidance. This skill should be used when users ask to develop, build, create, scaffold, deploy, publish, host, launch, go live, migrate, or optimize websites, Web apps, landing pages, dashboards, admin systems, e-commerce sites, 微信小程序 (WeChat Mini Programs), 小程序, Agent, 智能体, uni-app, or native/mobile apps with CloudBase (腾讯云开发, 云开发), including authentication, login, database, NoSQL, MySQL, cloud functions, CloudRun, storage, AI models, and UI guidance, or when they ask to compare CloudBase with Supabase or migrate from Supabase to CloudBase.
- cloudbaseCloudBase is a full-stack development and deployment toolkit for building and launching websites, Web apps, 微信小程序 (WeChat Mini Programs), and mobile apps with backend, database, hosting, cloud functions, storage, AI capabilities, Agent, and UI guidance. This skill should be used when users ask to develop, build, create, scaffold, deploy, publish, host, launch, go live, migrate, or optimize websites, Web apps, landing pages, dashboards, admin systems, e-commerce sites, 微信小程序 (WeChat Mini Programs), 小程序, Agent, 智能体, uni-app, or native/mobile apps with CloudBase (腾讯云开发, 云开发), including authentication, login, database, NoSQL, MySQL, cloud functions, CloudRun, storage, AI models, and UI guidance, or when they ask to compare CloudBase with Supabase or migrate from Supabase to CloudBase.
- cloudbaseCloudBase is a full-stack development and deployment toolkit for building and launching websites, Web apps, 微信小程序 (WeChat Mini Programs), and mobile apps with backend, database, hosting, cloud functions, storage, AI capabilities, Agent, and UI guidance. This skill should be used when users ask to develop, build, create, scaffold, deploy, publish, host, launch, go live, migrate, or optimize websites, Web apps, landing pages, dashboards, admin systems, e-commerce sites, 微信小程序 (WeChat Mini Programs), 小程序, Agent, 智能体, uni-app, or native/mobile apps with CloudBase (腾讯云开发, 云开发), including authentication, login, database, NoSQL, MySQL, cloud functions, CloudRun, storage, AI models, and UI guidance, or when they ask to compare CloudBase with Supabase or migrate from Supabase to CloudBase.
- cloudbaseCloudBase is a full-stack development and deployment toolkit for building and launching websites, Web apps, 微信小程序 (WeChat Mini Programs), and mobile apps with backend, database, hosting, cloud functions, storage, AI capabilities, Agent, and UI guidance. This skill should be used when users ask to develop, build, create, scaffold, deploy, publish, host, launch, go live, migrate, or optimize websites, Web apps, landing pages, dashboards, admin systems, e-commerce sites, 微信小程序 (WeChat Mini Programs), 小程序, Agent, 智能体, uni-app, or native/mobile apps with CloudBase (腾讯云开发, 云开发), including authentication, login, database, NoSQL, MySQL, cloud functions, CloudRun, storage, AI models, and UI guidance, or when they ask to compare CloudBase with Supabase or migrate from Supabase to CloudBase.
- cloudbase-cliCloudBase CLI (tcb, 云开发CLI, Tencent CloudBase命令行) resource management skill. This skill should be used when users need to deploy cloud functions, manage CloudRun apps, upload files to storage, query NoSQL/MySQL databases, deploy static hosting, set access permissions, or configure CORS/domains/routing via tcb commands. Also use for CI/CD pipeline scripting, batch operations, terminal-based CloudBase management, or when the user prefers CLI over SDK/MCP.
- cloudbase-document-database-in-wechat-miniprogramUse CloudBase document database WeChat MiniProgram SDK to query, create, update, and delete data. Supports complex queries, pagination, aggregation, and geolocation queries.
- coachCreate personalized triathlon, marathon, and ultra-endurance training plans. Use when athletes ask for training plans, workout schedules, race preparation, or coaching advice. Can sync with Strava to analyze training history, or work from manually provided fitness data. Generates periodized plans with sport-specific workouts, zones, and race-day strategies.
- codeUse BEFORE generating, refactoring, reviewing, or debugging code. Trigger phrases include "write a function/script/class for X", "review this code/diff/PR", "refactor this", "debug this error", "is this implementation correct", "what's wrong with this code", "improve this code", "translate from X to Y", or any prompt with a code block the user wants you to act on. Also fires when planning architectural changes, picking algorithms or data structures, or evaluating dependency upgrades. Calls the code MCP tool to retrieve an engineering scaffold (failure pattern, procedure, correct-pattern example, verification step) before generating. Catches hallucinated APIs, lost edge cases, premature algorithm commitment, silent contract violations, refactors that change behavior masked by passing tests. Do NOT trigger for pure code reading with no action requested, simple syntax questions, file system operations, running existing tests, or confirming an existing pattern is fine.MIT
- code-data-analysis-scaffoldsGenerates structured scaffolds (frameworks, checklists, templates) for technical work — TDD test suites, exploratory data analysis plans, statistical analysis designs, causal vs predictive modeling objectives, and validation checklists. Use when starting technical work that needs systematic planning before execution. Invoke when user mentions "write tests for", "explore this dataset", "analyze", "model", "validate", "design an A/B test", or when technical work needs scaffolding before execution.
- code-engineer-executorNavigate, analyze, and modify codebases using LSP semantic navigation. Use when user needs code refactoring, bug fixing, feature implementation, code analysis. Returns structured code changes with LSP navigation metadata.
- 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 Interrogator (Business Analyst)Scans the codebase to extract intended features, business logic, and data models.
- codebase-documenterGenerates comprehensive documentation explaining how a codebase works, including architecture, key components, data flow, and development guidelines. Use when user wants to understand unfamiliar code, create onboarding docs, document architecture, or explain how the system works.
- coderabbit-data-handlingImplement CodeRabbit PII handling, data retention, and GDPR/CCPA complianceMIT
- coding-beUse when: implementing backend logic in Next.js App Router, including Database queries (DAL), Zod Schemas (Validations), and Server Actions. Focused on data integrity, cache revalidation, and type-safe contracts. Backend-only skill; not for UI design, CSS, or SEO metadata.
- cognitive-designGrounds visual design decisions in cognitive psychology principles — perception, attention, memory, Gestalt grouping, and visual encoding hierarchy — explaining WHY certain designs work. Covers interfaces, data visualizations, educational content, and presentations. Invoke when user mentions cognitive load, visual hierarchy, working memory, preattentive processing, Gestalt principles, encoding hierarchy, or cognitive design pyramid. For design evaluation, use `design-evaluation-audit`. For fallacy prevention, use `cognitive-fallacies-guard`. For data storytelling, use `visual-storytelling-design`.
- cognitive-fallacies-guardDetects and prevents visual misleads, cognitive biases, and data integrity violations in visualizations, dashboards, reports, and presentations. Audits charts for honesty, diagnoses misinterpretation causes, and provides specific fixes. Invoke when user mentions chartjunk, misleading chart, truncated axis, data integrity, visual deception, 3D chart problems, cherry-picking data, or needs to audit visualizations for accuracy. For general design evaluation, use `design-evaluation-audit`. For cognitive foundations, use `cognitive-design`.
- cohere-data-handlingImplement data privacy for Cohere API calls with PII redaction and compliance.MIT
- cohort-analysisPerform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or identifying engagement trends.
- coingeckoComplete CoinGecko Solana API integration for token prices, DEX pool data, OHLCV charts, trades, and market analytics. Use for building trading bots, portfolio trackers, price feeds, and on-chain data applications.
- cold-email-local-businessWrite hyper-personalized cold emails to local businesses using their Google Maps data (CSV). Generates AIDA sequences with personalization from ratings, reviews, website, and industry context.
- combineAPI reference: Combine. Query for publishers, subscribers, operators, async data streams.
- commerce-engine-setupSet up and run the StateSet iCommerce engine locally (CLI install, DB init, demo data, sync). Use when bootstrapping an environment, running `stateset-doctor`, or starting `stateset-autonomous`.
- commercial-forecasterUse when building a quarterly bookings forecast, ARR projection, pipeline forecast, NRR projection, or commit/best-case/pipe-only board number — especially when the CRO needs to walk the board through funnel math + cohort ARR + per-stage conversion assumptions without the theatre of a single undefended number. Decomposes pipeline into commit, best-case, and pipe-only tiers; projects cohort-level NRR/GRR to surface leaky cohorts before they show up in the consolidated number; scores per-stage funnel confidence so soft-floor stages get treated differently from high-confidence ones. Every output explicitly names the conversion rate used, the data window, and the weighting choice. For Head of Commercial, RevOps, VP Sales, and CRO at quarterly forecast or board prep. NOT financial close (see finance/financial-analysis). NOT strategic CRO hiring/territory (see c-level-advisor/cro-advisor). NOT pricing (see sibling pricing-strategist).MIT
- commercial-forecasterUse when building a quarterly bookings forecast, ARR projection, pipeline forecast, NRR projection, or commit/best-case/pipe-only board number — especially when the CRO needs to walk the board through funnel math + cohort ARR + per-stage conversion assumptions without the theatre of a single undefended number. Decomposes pipeline into commit, best-case, and pipe-only tiers; projects cohort-level NRR/GRR to surface leaky cohorts before they show up in the consolidated number; scores per-stage funnel confidence so soft-floor stages get treated differently from high-confidence ones. Every output explicitly names the conversion rate used, the data window, and the weighting choice. For Head of Commercial, RevOps, VP Sales, and CRO at quarterly forecast or board prep. NOT financial close (see finance/financial-analysis). NOT strategic CRO hiring/territory (see c-level-advisor/cro-advisor). NOT pricing (see sibling pricing-strategist).MIT
- commercial-forecasterUse when building a quarterly bookings forecast, ARR projection, pipeline forecast, NRR projection, or commit/best-case/pipe-only board number — especially when the CRO needs to walk the board through funnel math + cohort ARR + per-stage conversion assumptions without the theatre of a single undefended number. Decomposes pipeline into commit, best-case, and pipe-only tiers; projects cohort-level NRR/GRR to surface leaky cohorts before they show up in the consolidated number; scores per-stage funnel confidence so soft-floor stages get treated differently from high-confidence ones. Every output explicitly names the conversion rate used, the data window, and the weighting choice. For Head of Commercial, RevOps, VP Sales, and CRO at quarterly forecast or board prep. NOT financial close (see finance/financial-analysis). NOT strategic CRO hiring/territory (see c-level-advisor/cro-advisor). NOT pricing (see sibling pricing-strategist).MIT
- common-telemetryEnforce tracking of token usage, execution metadata, and cost at the end of agent workflows. Use when a workflow concludes, before generating the final handoff or task.md artifact.
- communication-storytellingTransforms analysis, data, and complex information into clear, persuasive narratives tailored to specific audiences — executives, customers, investors, or non-technical stakeholders. Provides story structures (Hero's Journey, Problem-Solution-Benefit, Situation-Complication-Resolution) and audience adaptation techniques. Use when presenting findings, explaining technical concepts to non-technical audiences, writing announcements, or when user mentions "write this for", "explain to", "present findings", "make this compelling", or "audience is".
- comparing-database-schemasProcess use when you need to work with schema comparison.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.
- concludeSession conclude protocol. Execute when ending a session to capture all work, decisions, and context. Writes a session log with structured metadata, updates project state files, flags cross-project handoffs, and performs a workspace hygiene sweep. Use this skill whenever ending a session, wrapping up work, or when the user signals the session is done. Every session must produce a session log.
- conf-program-extractionParse a heterogeneous conference program (markdown, HTML, PDF-derived text, or JSON) into normalized event records with per-field confidence scores and independent classification axes (topic, depth, format, prerequisites, recorded, capacity). Detects the program's format before extracting, treats every inferred field as uncertain (present vs inferred vs missing), and flags thin or missing abstracts so downstream enrichment can target them. Conference-agnostic. Use when ingesting a conference or event schedule into a structured store, normalizing a talk/session list, or extracting per-session metadata with calibrated confidence. Trigger keywords - program ingestion, parse schedule, session extraction, event records, conference program, talk metadata, per-field confidence.
- connect-data|
- constant-time-analysisAnalyze cryptographic code to detect operations that leak secret data through execution timing variations.
- constant-time-analysisAnalyze cryptographic code to detect operations that leak secret data through execution timing variations.
- constant-time-analysisAnalyze cryptographic code to detect operations that leak secret data through execution timing variations.
- 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-marketerElite content marketing strategist specializing in AI-powered content creation, omnichannel distribution, SEO optimization, and data-driven performance marketing.
- content-marketerElite content marketing strategist specializing in AI-powered content creation, omnichannel distribution, SEO optimization, and data-driven performance marketing.
- content-repurposerWhen user asks to repurpose content, convert blog to tweets, turn article into LinkedIn post, create Twitter thread from text, make Instagram caption from blog, convert content to email newsletter, create YouTube description from script, generate TL;DR from article, turn podcast notes into posts, or any content format conversion task. 15-feature AI content repurposer that transforms one piece of content into 7+ formats. All data stays local — NO external API calls, NO network requests, NO data sent to any server. Does NOT post to any platform — generates text for user to copy.
- contextLoads Serverless OpenClaw project context. Provides background knowledge needed for development including project overview, tech stack, architecture decisions, and data models.
- context-engineLoads and manages company context for all C-suite advisor skills. Reads ~/.claude/company-context.md, detects stale context (>90 days), enriches context during conversations, and enforces privacy/anonymization rules before external API calls. Use when starting any C-suite advisor session, when context looks stale or missing, or before sending company data to an external service.MIT
- context-engineLoads and manages company context for all C-suite advisor skills. Reads ~/.claude/company-context.md, detects stale context (>90 days), enriches context during conversations, and enforces privacy/anonymization rules before external API calls. Use when starting any C-suite advisor session, when context looks stale or missing, or before sending company data to an external service.MIT
- context-engineLoads and manages company context for all C-suite advisor skills. Reads ~/.claude/company-context.md, detects stale context (>90 days), enriches context during conversations, and enforces privacy/anonymization rules before external API calls. Use when starting any C-suite advisor session, when context looks stale or missing, or before sending company data to an external service.MIT
- context-managerElite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems.
- context-managerElite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems.
Browse skills by keyword
Code skills (2950)API skills (2570)Agents skills (2215)Design skills (2150)Testing skills (1932)Search skills (1813)Review skills (1802)Web skills (1549)Documents skills (1249)Analysis skills (1246)Git skills (1105)Security skills (975)MCP skills (879)Automation skills (770)Writing skills (765)Research skills (755)Python skills (704)Image skills (588)React skills (535)Database skills (532)