autoimprove-cc — Auto-Improve SKILL.md Loop

Main

• Use it to evolve SKILL.md overnight: the README describes a loop that scores assertions, edits, and commits only when score improves.

• Treat eval.json as your benchmark: make assertions binary (true/false) so the loop can optimize reliably.

• Use --dry-run to score without mutating git history, then enable commits once behavior is trusted.

• Keep the target skill inside a git repo; README notes rollback relies on git reset/commit behavior.

Source-backed notes

• README frames the loop as a Claude Code-native adaptation of Karpathy autoresearch, using binary assertions for scoring.
• README provides quick start install steps that link Claude Code agents/commands and a /autoimprove command interface.

FAQ

• Will it rewrite my history?: It can commit/reset; start with --dry-run and run in a branch if you’re unsure.
• Do I need Python scripts?: README says it runs with Claude Code agents + commands, no external Python runtime required.
• What’s the metric?: Binary assertion pass rate in eval.json; keep assertions precise and checkable.