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Anthropic's public Agent Skills repository for Claude, with example skills, document skills, the Agent Skills specification pointer, a template skill, Claude Code plugin installation, Claude.ai usage guidance, and Claude API skill creation references.

Open-source, self-hostable AI engine that runs LLMs, vision, voice, image, and video models on your own hardware behind one API, with drop-in OpenAI, Anthropic, and ElevenLabs API compatibility, composable on-demand backends, and no GPU required.

Claude Code statusline that reads Anthropic Claude Code Analytics Admin API data and shows daily estimated cost, hourly pace, sessions, and budget pressure.

A Claude Code subagent that helps you pick the right Anthropic Claude model in GitHub Copilot's model picker and decide when to switch to Claude Code instead.

Official MCP server providing Git repository tools for reading, searching, and manipulating Git repositories

Official MCP server providing read-only access to PostgreSQL databases with schema inspection and query capabilities

Official MCP server providing secure file system operations for Claude Desktop and Claude Code

Open-source Python and TypeScript SDK for building model-driven AI agents with any model provider, MCP tools, streaming, multi-agent patterns, structured output, observability, hooks, guardrails, and production deployment guidance.

Independent community library of 754 cybersecurity Agent Skills mapped to MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, and NIST AI RMF for defensive security analysis, incident response, forensics, cloud security, SOC operations, and governed red-team workflows.

Set up Claude Code GitHub Actions for pull request review: install the Claude GitHub app, store ANTHROPIC_API_KEY in secrets, pin anthropics/claude-code-action to an audited commit SHA with least-privilege permissions, and follow documented security practices.

Set up Claude Code in GitLab CI/CD with maintainer-approved prompts, least-privilege tool access, and Bedrock or Vertex OIDC alternatives from official GitLab integration docs.

Reduce Claude Code context pressure from MCP tools using MAX_MCP_OUTPUT_TOKENS, anthropic/maxResultSizeChars annotations, tool search deferral, alwaysLoad discipline, and pagination patterns from official MCP documentation.

Anthropic command-line coding agent for codebase questions, edits, tests, and terminal-centered development tasks.

Community slash command runbook for adding minimal automated tests around a changed module: inspect the git diff, mirror repository test conventions, and draft focused unit or integration tests using Anthropic develop-tests guidance.

Expert Claude Code computer use GUI QA capability pack that applies documented computer-use MCP enablement, per-app session approval, screenshot checkpoints, and macOS permission workflows for native app validation—not an official Anthropic QA product.

Slash command runbook for designing and running prompt evaluations: define tasks, success criteria, golden outputs, regression checks, and privacy-safe reporting using Anthropic test-and-evaluate guidance.

A practical walkthrough of the claude-code-hint protocol. When CLAUDECODE is set, have your CLI write a self-closing tag to stderr; Claude Code strips the line before it reaches the model and shows a one-time prompt to install your plugin — but only for plugins in the official Anthropic marketplace.

System-prompt agent that helps you drive Claude Code on the web: submitting long-running coding tasks to Anthropic's cloud, running independent sessions in parallel, linking GitHub repositories, tracking progress, and turning finished work into pull requests from the browser.