perf-analyzer

Use when synthesizing perf findings into evidence-backed recommendations and decisions.

23 stars

Best use case

perf-analyzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Use when synthesizing perf findings into evidence-backed recommendations and decisions.

Teams using perf-analyzer should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/perf-analyzer/SKILL.md --create-dirs "https://raw.githubusercontent.com/christophacham/agent-skills-library/main/skills/testing/perf-analyzer/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/perf-analyzer/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How perf-analyzer Compares

Feature / Agentperf-analyzerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Use when synthesizing perf findings into evidence-backed recommendations and decisions.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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.

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