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/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.

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vibe-skills
2.7k200 skills8 agents3 commands
Install
$ npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill detecting-performance-regressions --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/detecting-performance-regressions

Context preview

The summary Claude sees to decide when to auto-load this skill.

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.

SKILL.md

detecting-performance-regressions.SKILL.md
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
Read more
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