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detecting-performance-regressions

detecting-performance-regressions

Compare current benchmark results against historical baselines to spot performance regressions. Use as an explicit/manual helper for build-to-build degradation review, not for broad optimization strategy or low-level profiling ownership.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: detecting-performance-regressions description: | Compare current benchmark results against historical baselines to spot performance regressions. Use as an explicit/manual helper for build-to-build degradation review, not for broad optimization strategy or low-level profiling ownership. version: 1.0.0 allowed-tools: "Read, Write, Edit, Grep, Glob, Bash(ci:), Bash(metrics:), Bash(testing:*)" license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Performance Regression Detector

Positioning

Treat this skill as an explicit/manual helper for benchmark comparison work.

When to Use

Use this skill when:

  • Identify performance regressions in a CI/CD pipeline.
  • Analyze performance metrics for potential degradation.
  • Compare current performance against historical baselines.

Not For / Boundaries

  • Broad optimization roadmap or tuning backlog: use providing-performance-optimization-advice
  • Root-cause debugging of a specific slow path: use systematic-debugging
  • General test artifact packaging without regression judgment: use generating-test-reports

Typical Outputs

  • A baseline-vs-current regression summary
  • Severity-ranked regressed metrics
  • Follow-up questions for deeper profiling or investigation

Related Skills

  • performance-testing for benchmark generation
  • providing-performance-optimization-advice after the regression is confirmed
저장한 Skills