Browse 37 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 Supabase agent skills to help AI agents work accurately with Supabase products.
A public repository of example skills for Claude, demonstrating how to create reusable instructions and resources for specialized tasks.
A template to guide AI agent behavior, improving response structure and reducing token waste.
A drop-in AGENTS.md file that makes coding agents behave like senior engineers, eliminating sycophancy and forcing verification.
A best-practices skill for Terraform and OpenTofu AI agents, enabling testing, module structuring, CI/CD, and production infrastructure code.
Official NVIDIA-verified skills for AI agents to use CUDA-X libraries and platform tools correctly.
The world's first open-source AI-native vector design tool with concurrent Agent Teams.
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
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
Convert and sync AI coding-agent rule files between formats with zero dependencies.
Optimize markdown documentation for LLMs and RAG systems, reducing token consumption by 67-95%.
Open-source GEO audit engine to optimize websites for AI search visibility and citability.
Codebase intelligence layer for AI coding agents: code health, git analytics, dead code detection, and architectural decisions via MCP.
Local semantic code search engine for AI coding agents, reducing token use and costs by up to 50%.
One command gives AI agents instant codebase context, replacing 50,000+ tokens of exploration with ~250 tokens.
