Radar / AI coding tools / Autoharness
Autoharness: self-learning skill layer for Claude Code
Autoharness, a self-learning skill layer for Claude Code, distills reusable skills from a developer's real coding sessions, consolidates near-duplicates by category, and prunes skills that stop getting used - with no daemon and no separate eval loop.
Why it matters
Skills for coding agents usually rot; autoharness proposes a self-maintaining skill layer where a skill survives only if later sessions actually follow it, validated in use rather than on a benchmark.
What you could build with it
An indie developer could install the plugin in Claude Code so recurring workflows like repo-specific release checklists or deployment recipes become durable skills that are automatically refreshed as working habits change.
Does it hold up?
Usable now as a Claude Code plugin with zero third-party dependencies and an active install base; evidence of long-term skill quality across diverse codebases is still thin.
Learn more
First spotted on github: source.
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