Skills Guide
A comprehensive framework for creating, structuring, and managing reusable AI Agent Skills to standardize instruction-driven workflows.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
359 skills found
A comprehensive framework for creating, structuring, and managing reusable AI Agent Skills to standardize instruction-driven workflows.
Three.js geometry generation: built-in shapes, BufferGeometry, vertex manipulation, custom meshes, and performance-optimized instanced rendering.
A project-specific template skill providing standardized architecture, file structures, coding patterns, and deployment workflows for production-grade AI applications.
Audit and validate Claude Code plugins for structural integrity, manifest compliance, and best practice adherence to ensure reliable agent and skill performance.
Rigorous research skill that enforces source verification via WebFetch and content analysis to prevent hallucinated citations.
Implements frontend forms and actions in Kirby CMS, including contact forms, file uploads, email handling, and page creation from the frontend.
A documentation-writing assistant for the Nuxt ecosystem, providing writing style guides, MDC component usage patterns, and content structure guidelines for technical blog posts and docs.
Bags is a Solana token launchpad designed for AI agents and humans. Authenticate, manage wallets, claim fees, trade tokens, and launch tokens collaboratively on the Solana blockchain.
Evidence-based debugging for Python, Node.js, and Java applications using runtime execution traces and diagnostic MCP tools.
Analyze project codebases to generate architecture documentation, coding standards, and development practices for AI onboarding.
Build professional, accessible, and responsive user interfaces using React, Next.js, and modern design systems like shadcn/ui. Focuses on developer tools, chat interfaces, and real-time streaming components.
Upstash Vector DB setup, semantic search, namespaces, and embedding models. Ideal for building high-performance vector search features in Next.js 16/Vercel projects.