P
perf-analyzer
About perf-analyzer
A skill for turning performance investigation inputs into evidence-based findings and recommendations. It is intended for performance analysis workflows and flags insufficient data rather than asserting unsupported conclusions.
Key features
- 01Synthesizes baseline and experiment results
- 02Uses profiling and breaking-point evidence
- 03Separates recommendations from abandoned ideas
- 04Requests a rerun when evidence is insufficient
Use cases
- 01Summarizing performance experiments
- 02Recording tested hypotheses and findings
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ composio-community/ awesome-claude-plugins --skill perf-analyzerAfter installing, type/perf-analyzerin Claude Code to confirm it loaded.
Details
From the project READMEperf-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.
Comments
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