msdakot/ai-foundary

Not just files. A forge. The open-source registry of production-ready skills, agents, hooks, and plugins for Claude and every major AI coding harness. No bloat. No boilerplate. Just drop-in components built and refined by the community. Works across Claude Code, Codex, Cursor, OpenCode, Gemini CLI, and beyond.

This repository also configures its own agents. See what ai-foundary tells them →

5Stars on the repository
29Mods indexed here, across every type
4mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

msdakot/ai-foundary

Skill Claude CodeCodex

Behavioral guardrails for LLM coding derived from Andrej Karpathy's observations on AI coding pitfalls. Apply whenever writing, editing, refactoring, debugging, or reviewing code — any language, any stack. These principles should be active any time Claude touches code.

not rated 5 4mo ago A 59 tokens original MIT

skill-observer

26

msdakot/ai-foundary

Skill Claude CodeCodex

Review pending skill suggestions collected by the background observer. Use when the user wants to see, approve, reject, or apply pattern suggestions that the observer flagged during past sessions.

not rated 5 4mo ago B 38 tokens original MIT

msdakot/ai-foundary

Skill Claude CodeCodex

Autonomous 3x/day AI intel sweep — fetches HackerNews, GitHub Trending, Google AI Blog, ArXiv, X/Twitter, and star-history.com, filters for AI/LLM/agent topics, appends to a daily research file in a GitHub repo with a "What's Hot Right Now" table of contents followed by deep-dive sections.

not rated 5 4mo ago A 82 tokens original MIT

content-curator

28

msdakot/ai-foundary

Skill Claude CodeCodex

Draft a LinkedIn post or newsletter section grounded in real data from the latest AI intel report. Invoke when the user says "write a LinkedIn post", "draft a post about [topic]", "write a newsletter section", "curate content for me", "turn today's intel into a post", or "I want to post about [X]". Always reads the…

not rated 5 4mo ago A 111 tokens original MIT

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