Browse 47 tools for your AI coding workflow.
Official MCP reference servers from Anthropic. Includes servers for filesystem, GitHub, Postgres, Slack, and more.
Anthropic's official CLI agent for coding. Claude-powered terminal agent that reads, writes, and refactors entire codebases.
Local GitHub Actions runner for AI agents — test CI/CD workflows locally before pushing.
Universal AI agent orchestration toolkit that transforms any AI coding assistant into a coordinated fleet of specialist agents.
Vercel's official collection of packaged instructions and scripts that extend AI coding agent capabilities.
Official Microsoft Learn MCP server and CLI tool providing real-time, trusted Microsoft docs and code samples to AI agents.
Official Supabase agent skills to help AI agents work accurately with Supabase products.
A drop-in AGENTS.md file that makes coding agents behave like senior engineers, eliminating sycophancy and forcing verification.
Official NVIDIA-verified skills for AI agents to use CUDA-X libraries and platform tools correctly.
A public repository of example skills for Claude, demonstrating how to create reusable instructions and resources for specialized tasks.
A best-practices skill for Terraform and OpenTofu AI agents, enabling testing, module structuring, CI/CD, and production infrastructure code.
A template to guide AI agent behavior, improving response structure and reducing token waste.
A tiny AGENTS.md framework that gives AI agents precise project context through a hierarchy of markdown files.
Claude Code skill for improving website AEO (AI Engine Optimization) and GEO (Generative Engine Optimization) scores — 16 foundational checks, 6 intelligence dimensions, framework-specific fixes
The world's first open-source AI-native vector design tool with concurrent Agent Teams.
Extract design tokens (colors, typography, spacing, border radius, shadows) from any public website. Generates JSON and CSS custom properties for local projects. Available as an AI agent skill (Claude, Cursor, Codex) and
Up-to-date code documentation for LLMs and AI code editors, eliminating outdated or hallucinated API references.
AGENTS.md rules and skills for AI coding agents, distilled from classic software engineering books.
Optimize markdown documentation for LLMs and RAG systems, reducing token consumption by 67-95%.
Zero-dependency, token-efficient MCP server for querying multiple databases via a single interface.
