General skillTesting and debugging
autoresearch-skill
Run measured, repeatable optimization loops with Claude
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- Updated Jun 6, 2026
Run measured, repeatable optimization loops with Claude
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.
Resource types
Use cases
Platforms
Test mobile and desktop app navigation without routine screenshots.
Capture and decode logic-analyzer signals through natural-language requests.
Capabilities
Audience
Public GitHub facts last synced Jul 10, 2026.
Turn one browser exploration into repeatable end-to-end tests.
Query CloudWatch in natural language and investigate AWS incidents from Claude Code.