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Found 8 Skills
Use this skill when you need to work with context7 through its generated async Python app, call its MCP-backed functions from code, or inspect available functions with the mcp-skill CLI.
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
Maintain project-local reference documentation cached from Context7 and other sources. Use when (1) initializing local docs for a new project, (2) updating or expanding existing reference docs, (3) looking up library documentation — check local cache first, (4) saving useful externally fetched docs for future sessions.
Create new UI elements for tryelements.dev registry. Use when: (1) Adding new UI components (buttons, inputs, cards), (2) Building integration components (Clerk, Stripe, Uploadthing), (3) Creating theme-related elements, (4) Any shadcn-style registry component. IMPORTANT: For logo components with variants (icon/wordmark/logo + dark/light), use the logo-with-variants skill instead. This skill includes scaffolding, registry schema, and component patterns. ALWAYS use Context7 MCP to fetch latest dependency docs before implementing.
Teach Claude ANY topic - code libraries, APIs, concepts, tools, methodologies, or domains. Researches via web and docs, then retains knowledge as a permanent skill. Use when user says "/learn <topic>", "learn about X", "teach yourself Y", "become an expert on Z". Examples - "/learn stripe" for payments, "/learn GTD" for productivity, "/learn israeli-tax-law" for domain knowledge.
Enterprise shadcn/ui Component Library with AI-powered design system architecture, Context7 integration, and intelligent component orchestration for modern React applications
Enhanced docs generation with AI-powered features. Enhanced with Context7 MCP for up-to-date documentation.
AI-powered enterprise debugging orchestrator with Context7 integration, intelligent error pattern recognition, automated root cause analysis, predictive fix suggestions, and multi-process debugging coordination across 25+ languages and distributed systems