Generates evidence-based performance hypotheses by analyzing git history and identifying critical code paths.
The Performance Theory Gatherer is a specialized Claude Code skill designed to streamline the diagnostic phase of performance optimization. By systematically reviewing recent git commits and tracing execution paths using repository intelligence or grep, it formulates up to five data-driven hypotheses regarding system performance. Each hypothesis is backed by specific code evidence and includes a confidence rating, helping developers pinpoint the root causes of regressions or bottlenecks without the distraction of premature optimization suggestions. This skill is ideal for teams following rigorous performance contracts who need structured, verifiable insights before committing to architectural changes.
主要功能
01Evidence-based hypothesis generation with confidence scoring
02Automated git history analysis for performance regression tracking
03Repository intelligence integration to map critical code paths
04692 GitHub stars
05Strict adherence to performance requirement documentation
06Concise output format for rapid developer triage
使用场景
01Investigating sudden performance regressions after a specific commit or merge
02Identifying potential bottlenecks in complex code paths before refactoring
03Documenting performance theories for team review during system audits
