Browse 33 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.
Official Supabase agent skills to help AI agents work accurately with Supabase products.
Vercel's official collection of packaged instructions and scripts that extend AI coding agent capabilities.
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.
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 public repository of example skills for Claude, demonstrating how to create reusable instructions and resources for specialized tasks.
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
Official Elastic Agent Skills library for AI coding agents to work with Elasticsearch, Kibana, Observability, and Security.
One command gives AI agents instant codebase context, replacing 50,000+ tokens of exploration with ~250 tokens.
GitHub Action to automatically fix code formatting and linting issues via autofix.ci.
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.
Convert and sync AI coding-agent rule files between formats with zero dependencies.
Zero-dependency, token-efficient MCP server for querying multiple databases via a single interface.
Codebase intelligence layer for AI coding agents: code health, git analytics, dead code detection, and architectural decisions via MCP.
