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Found 1,952 Skills
Generates llms.txt and llms-full.txt files for LLM-friendly project documentation following the llms.txt specification. Use when the user wants to create LLM-readable summaries, llms.txt files, or make their wiki accessible to language models.
Security scanner and health check for your AI agent skills tree. Identifies dead skills, missing documentation, and unsafe shell execution paths.
Generate focused documentation for components, functions, APIs, and features. Use when creating inline docs, API references, user guides, or technical documentation.
When the user wants to build or improve a sales bot's ability to create handoff summaries and conversation notes. Also use when the user mentions "conversation summary," "handoff notes," "call notes," "CRM updates," or "conversation documentation."
Autonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery. Guides agents through the full experiment lifecycle: understanding recipes and environments, wiring RL or NeMo-gym runs, launching reproducible baselines and iterations, analyzing results, preserving human oversight, and using git plus TSV logs as the research ledger. Do NOT use for: bug fixes, code review, documentation, refactoring, dependency updates, or single-file changes.
End-to-end workflow for creating complete JavaScript concept documentation, orchestrating all skills from research to final review
Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Documentation in llms.txt format, (3) GitHub repository analysis, (4) Documentation without direct llms.txt support, (5) Multiple documentation sources in parallel
PostgreSQL database documentation - SQL queries, database design, administration, performance tuning, and advanced features. Use when working with PostgreSQL databases, writing SQL, or managing database systems.
Expert-level JavaScript testing skill focused on writing high-quality tests that find bugs, serve as documentation, and prevent regressions. Advocates for property-based testing with fast-check and protects against indeterministic code in tests. Does not cover black-box e2e testing.
Use when conducting comprehensive code review for pull requests across multiple quality dimensions. Orchestrates 12-15 specialized reviewer agents across 4 phases using star topology coordination. Covers automated checks, parallel specialized reviews (quality, security, performance, architecture, documentation), integration analysis, and final merge recommendation in a 4-hour workflow.
Generates and configures Scalar OpenAPI UI for API documentation. Use when: Adding API documentation to services, configuring OpenAPI endpoints, customizing documentation themes
A comprehensive skill for uniCloud cloud development in the uni-app ecosystem. Use this skill when you need uniCloud project setup, cloud database CRUD, cloud functions, storage, or datacom components, following official uniCloud documentation.