Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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bmad-agent-architect
System architect and technical design leader. Use when the user asks to talk to Winston or requests the architect.
bmad-code-org/BMAD-METHOD 44,325
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bmad-create-epics-and-stories
Break requirements into epics and user stories. Use when the user says "create the epics and stories list"
bmad-code-org/BMAD-METHOD 44,325
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bmad-product-brief
Create or update product briefs through guided or autonomous discovery. Use when the user requests to create or update a Product Brief.
bmad-code-org/BMAD-METHOD 44,325
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bmad-agent-analyst
Strategic business analyst and requirements expert. Use when the user asks to talk to Mary or requests the business analyst.
bmad-code-org/BMAD-METHOD 44,325
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bmad-document-project
Document brownfield projects for AI context. Use when the user says "document this project" or "generate project docs"
bmad-code-org/BMAD-METHOD 44,325
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bmad-agent-tech-writer
Technical documentation specialist and knowledge curator. Use when the user asks to talk to Paige or requests the tech writer.
bmad-code-org/BMAD-METHOD 44,325
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bmad-domain-research
Conduct domain and industry research. Use when the user says wants to do domain research for a topic or industry
bmad-code-org/BMAD-METHOD 44,325
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bmad-market-research
Conduct market research on competition and customers. Use when the user says they need market research
bmad-code-org/BMAD-METHOD 44,325
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bmad-technical-research
Conduct technical research on technologies and architecture. Use when the user says they would like to do or produce a technical research report
bmad-code-org/BMAD-METHOD 44,325
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bmad-prfaq
Working Backwards PRFAQ challenge to forge product concepts. Use when the user requests to 'create a PRFAQ', 'work backwards', or 'run the PRFAQ challenge'.
bmad-code-org/BMAD-METHOD 44,325
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login-flows
Common login automation patterns for web apps using Playwright
andrewyng/context-hub 12,831
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document-extraction
Use this skill for intelligent document processing and content extraction using LandingAI's Agentic Document Extraction (ADE). Trigger when users need to (1) Parse documents (PDFs, images, spreadsheets, presentations) into structured Markdown with layout understanding, (2) Extract specific structured data from documents using schemas (invoice fields, form data, table data, etc.), (3) Classify and separate multi-document batches by type (invoices vs receipts, statements vs forms, etc.), (4) Process large documents asynchronously (up to 1GB/1000 pages), (5) Get visual grounding (bounding boxes, page numbers) for extracted content — use when users mention bounding boxes, word locations, grounding, highlighting extracted content, or showing where data appears in a document. Use this skill when the task involves understanding document content for a set of documents. In particular this skill can help you write code that run on sets of documents. This will increase speed, and reduce the cost of loading the documents on the Agent context window because you can use a single script to extract the information needed.
andrewyng/context-hub 12,831
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document-workflows
Use this skill for building end-to-end document processing workflows and pipelines using LandingAI ADE. Trigger when users need to: (1) Process batches of documents in parallel or async, (2) Build classify-then-extract pipelines for mixed document types, (3) Prepare parsed documents for RAG systems with chunking and vector DB ingestion, (4) Load extraction results into databases like Snowflake or export to CSV/DataFrames, (5) Visualize extraction results: draw bounding box overlays on pages, crop chunk images, or highlight/annotate specific words or phrases found in documents, (6) Build Streamlit or web UIs for document processing, (7) Find and highlight specific terms within document sections using word-level grounding (e.g. highlight "L2S" in the Introduction, redact PII, annotate extracted values on the original page). This skill complements the document-extraction skill which covers ADE SDK basics. Use document-extraction to write code that executes parse/extract/split operations with more precision and less cost than adding the document image to the prompt and asking the LLM to find the relevant info. Use document-workflows when composing those operations into pipelines, or when you need visualization, annotation, or word-level grounding on parsed documents.
andrewyng/context-hub 12,831
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new-project
Build a new AI agent with Olakai monitoring from scratch — project setup, SDK integration, KPI configuration, and end-to-end validation
andrewyng/context-hub 12,831
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integrate
Add Olakai monitoring to existing AI code — wrap your LLM client, configure custom KPIs, and validate the integration end-to-end
andrewyng/context-hub 12,831
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tavily-best-practices
Build production-ready Tavily integrations with best practices for web search, content extraction, crawling, and research in agentic workflows, RAG systems, and autonomous agents
andrewyng/context-hub 12,831
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electronics-sourcing
Guide for AI agents to source electronic components using parts-mcp — tool sequencing, decision patterns, and multi-step workflows
andrewyng/context-hub 12,831
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deploy
Deployment automation skill for CI/CD pipelines
andrewyng/context-hub 12,831
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get-api-docs
Use this skill when you need documentation for a third-party library, SDK, or API before writing code that uses it — for example, "use the OpenAI API", "call the Stripe API", "use the Anthropic SDK", "query Pinecone", or any time the user asks you to write code against an external service and you need current API reference. Fetch the docs with chub before answering, rather than relying on training knowledge.
andrewyng/context-hub 12,831
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design-system
Design system expertise — component creation, token management, Figma workflow. Compiler-driven: Claude produces scene graph JSON, the compiler generates Figma code. Covers components and full interfaces/screens.
noemuch/bridge 116
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claude-orator
Prompt rhetoric coach — deterministic scoring and restructuring using Anthropic best practices
Vvkmnn/claude-emporium 113
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claude-vigil
File checkpoint and recovery — auto-quicksaves before destructive commands, manual checkpoints for safe rollback
Vvkmnn/claude-emporium 113
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claude-historian
Automatic history search — checks past sessions before web research, planning, and debugging, siblings deepen coverage
Vvkmnn/claude-emporium 113
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claude-oracle
Automatic tool discovery across 17 sources — hooks search before planning and after errors, siblings avoid redundant searches
Vvkmnn/claude-emporium 113