A Model Context Protocol (MCP) for analyzing and querying GitHub repositories using the GitHub Chat API.

AI agent skill(e.g., Claude Code, Codex): Upload local images to a GitHub PR and embed them in the description or comments

Supercharge your AI agents by versioning, tracking, and merging overlapping skills.

Scan any agent skill — authored or compiled — for prompt injection, secrets, and malicious execution before it touches your agent. Or compile the long tail on the fly.

Agent skills synthesizing years of software engineering discipline into a prescriptive methodology for solo developers

An open standard for capturing the WHY in git history

Save coding agents' conversations in Git Notes, automatically

A featherweight spec-driven development template with a Memory Bank, for Claude Code and GitHub Copilot.

Auto-save every Claude Code session to GitHub Projects. Never lose Prompt & Context again.

A lightweight, Git-backed permanent memory for AI agents.

:octocat: GitHub Emoji for C#, dotnet and beyond

Spec-driven development and context engineering for Claude Code, Cursor, Codex, and GitHub Copilot — backed by project context in Git.

Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection

Overleaf CLI - pull, push, sync, compile LaTeX projects from your terminal. Git remote helper, MCP server for AI agents, and TypeScript library.

MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.

Turn your team's AI coding sessions, GitHub code, and docs into one shared, searchable memory — a self-hosted git truth store you query right from your editor over MCP.

Review code 100X faster. Lens draws every PR as animated architecture and data-flow walkthroughs, inside the pull request itself. Use it as a GitHub App, GitHub Action, CLI, or a skill for your coding agent

Fastest way to scaffold your LLM powered personal knowledge base - Obsidian, Claude Code, qmd, Github

A Git-based package manager designed for AI-assisted development, similar to npm but supporting skills, agents, commands, hooks, and any AI resource types.

Practical, portable skills for agentic coding workflows — clearer diagrams, checked claims, safer GitHub releases, natural EN↔KO writing.

A Git-native knowledge layer for your team — and a set of tool suite that keeps it alive.

Full AI context and content layer for coding agents over one MCP server — tree-sitter code-map, document RAG, shared memory, multi-agent comms, web crawl, git history + blame. 300+ languages, 10+ agent harnesses, pure Rust.

Zettelkasten-based persistent memory for AI coding agents. Works with Claude Code, Cursor, VS Code Copilot, Codex, Windsurf & any MCP client. No vector DB — just markdown + git sync.

A git-native, review-gated knowledge base for AI agents: they propose writes, you approve them. Every claim cites a source, every change is a diff in your repo. MCP + CLI.