hanyuancheung / llm-skill

What is llm-skill?

llm-skill is a minimal Python GitHub repo for building self-improving LLM agents through a three-layer system of llm skills: execute tasks with lazy-loaded subsets, distill traces into new llm skill md files, and guide routing updates. Inspired by Karpathy's llm wiki skill github concept, it solves the chaos of ad-hoc prompts by enforcing a closed loop where agents maintain their own llm skills database via simple markdown contracts. Users get entrypoints tailored for Codex CLI, Anthropic's Claude Code, HERMES, or generic runs, plus a one-shot bash install for standalone or mounted setups.

Why is it gaining traction?

This llm skill github project stands out with its github minimal api vibe—no bloat, just disjoint responsibilities and vital signs like version/status for every skill—making llm skills agents reliable without heavy tooling. Developers dig the lazy loading of <=3 skills per task and hooks for pre/post actions, contrasting bloated llm skills vs mcp alternatives. The distill SOP turns pitfalls into reusable llm skill files instantly, hooking tinkerers who want llm council skill github patterns or a llm skills standard over verbose und tools.

Who should use this?

Agent builders experimenting with llm skills anthropic integrations or multi-model setups like Claude and HERMES. Ideal for solo devs prototyping task routers, such as code reviewers or doc generators, who need a minimal github actions workflow for skill CRUD. Skip if you're after production-scale llm skills database with UI.

Verdict

At 12 stars and 1.0% credibility score, llm-skill feels early—docs are solid with bilingual READMEs and a validate checker, but lacks broad tests or examples beyond basics. Worth forking for personal llm skills md tinkering; mount it minimally like a github minimal firewall for agent projects.

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