Project overview
autoresearch-skill gives Claude a disciplined loop for optimizing a measurable target such as test runtime, bundle size, latency, memory, or training loss. Each experiment is benchmarked, useful changes are committed on one branch, and regressions or failures are reverted while the run history remains available. Session files support resuming later, but the approach is intended for iterative work rather than trivial one-off edits.
Repository facts
- Primary language
- Python
- License
- Custom / other
- Repository updated
- Jun 6, 2026
- Default branch
- main
Resource types
General skill
Use cases
Testing and debuggingSoftware development
Platforms
Claude Code, Codex, and more
Capabilities
Verification and evals
Audience
Developers