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Found 6,734 Skills
AI/ML APIs, LLM integration, and intelligent application patterns
Laravel v12 - The PHP Framework For Web Artisans
Routes tasks to skills in skill-db and skill-library using semantic discovery. Triggers on specialized skill requirements, domain-specific tasks, or explicit skill requests. Uses skill-discovery, mcp-skillset, and skill-rag-router for semantic matching.
Health monitoring knowledge and procedures for infrastructure platforms. Use when assessing system health, running health audits, or setting up monitoring.
Search technical documentation using executable scripts to detect query type, fetch from llms.txt sources (context7.com), and analyze results. Use when user needs: (1) Topic-specific documentation (features/components/concepts), (2) Library/framework documentation, (3) GitHub repository analysis, (4) Documentation discovery with automated agent distribution strategy
Analyze TCM constitution data, identify constitution types, evaluate constitution characteristics, and provide personalized health preservation suggestions. Support correlation analysis with health data such as nutrition, exercise, and sleep.
Unified team skill for issue resolution. All roles invoke this skill with --role arg for role-specific execution. Triggers on "team issue".
Build a real-time support chat system with a floating widget for users and an admin dashboard for support staff. Use when the user wants live chat, customer support chat, real-time messaging, or in-app support.
Execute use when you need to work with query optimization. This skill provides query performance analysis with comprehensive guidance and automation. Trigger with phrases like "optimize queries", "analyze performance", or "improve query speed".
Decompose research ideas into atomic, self-contained concepts with bidirectional math-code mapping. For each concept, extract the math formula from papers and find code implementations. Use for complex system papers requiring formal grounding.
Best practices, coding conventions, and patterns for backend projects using TypeScript. Use when writing code, tests, or new features in TypeScript backends with src/, Express, PostgreSQL/MongoDB, and Mocha+tsx.
Detect anomalies in data using statistical and ML methods. Z-score, IQR, Isolation Forest, and time-series anomalies.