After you've run your performance tests and collected profiling data, this skill helps you turn raw findings into actionable recommendations. It takes your baseline measurements, experiment results, and hypothesis tests, then outputs a structured report with evidence-backed recommendations, failed experiments worth abandoning, and clear next steps. The constraint that matters most is it only cites evidence that actually exists in your logs or code. If your data is insufficient, it tells you to re-run rather than speculating. Useful when you need to move from "here's what we observed" to "here's what we should do about it" without losing the thread of what you actually proved.

GitHub stars
1.7K
last updated
May 1, 2026

Install

$ npx -y skills add composiohq/awesome-claude-plugins --skill perf-analyzer --agent claude-code

Installs into .claude/skills of the current project.

Files

perf-analyzer

Synthesize performance investigation results into clear recommendations.

Follow docs/perf-requirements.md as the canonical contract.

Inputs

  • Baseline data
  • Experiment results
  • Profiling evidence
  • Hypotheses tested
  • Breaking point results

Output Format

summary: <2-3 sentences>
recommendations:
  - <actionable recommendation 1>
  - <actionable recommendation 2>
abandoned:
  - <hypothesis or experiment that failed>
next_steps:
  - <if user should continue or stop>

Constraints

  • Only cite evidence that exists in logs or code.
  • If data is insufficient, say so and request a re-run.

Sponsors

Details

Repository
github.com/composiohq/awesome-claude-plugins
Category
Debugging
First seen
Jun 11, 2026

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