tigerless-labs/autoharness

Autoharness — a self-learning skill layer for Claude Code — distills skills from your real sessions, updates them as you work, and prunes the ones that stop getting used. No daemon, no benchmark.

About the project

Autoharness is a self-learning skill layer for Claude Code that distills skills from real work sessions, combines overlapping skills, updates them during use, and removes ones that are no longer used. It is for people who want Claude Code to maintain a working library of reusable skills as they work. The catalogue entries provide the hooks, agents, MCP integration, plugin, and skill that make up its workflow.

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autoharness

01

tigerless-labs/autoharness

Plugin Claude Code

Bundles 1 skill, 2 agents, 4 hooks · 78 tokens together

Per-symbol maintenance optimizer for an agent's skill layer — learns skills from real runs and keeps them by adherence in use, not by an offline eval score.

not rated 11k +138 changed 4d ago A tokens not measured original MIT