Perf Analyzer
- 65 installs
- 931 repo stars
- Updated July 26, 2026
- avifenesh/agentsys
perf-analyzer is a Claude Code skill that synthesizes performance investigation results into evidence-backed recommendations and decisions.
About
perf-analyzer synthesizes the results of a performance investigation (baseline data, experiment results, profiling evidence and tested hypotheses) into a short summary with actionable recommendations. It lists abandoned hypotheses and next steps, and only cites evidence that actually exists in the logs or code. A developer uses it as the final step of a perf investigation to decide whether to continue or stop. If the data is insufficient it says so and requests a re-run.
- Synthesizes baseline, experiment and profiling evidence into recommendations
- Only cites evidence that exists in logs or code
- Flags abandoned hypotheses and says when data is insufficient
Perf Analyzer by the numbers
- 65 all-time installs (skills.sh)
- Ranked #273 of 596 Debugging skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
perf-analyzer capabilities & compatibility
- Capabilities
- perf profiler · perf benchmarker · perf baseline manager
- Use cases
- debugging · data analysis
What perf-analyzer says it does
Synthesize performance investigation results into clear recommendations.
Only cite evidence that exists in logs or code.
If data is insufficient, say so and request a re-run.
npx skills add https://github.com/avifenesh/agentsys --skill perf-analyzerAdd your badge
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| Installs | 65 |
|---|---|
| repo stars | ★ 931 |
| Last updated | July 26, 2026 |
| Repository | avifenesh/agentsys ↗ |
What it does
Turn baseline, experiment and profiling evidence into recommendations at the end of a perf investigation.
Who is it for?
The synthesis step that turns collected perf evidence into a decision.
Skip if: Running benchmarks or profilers itself.
When should I use this skill?
You are synthesizing perf findings into evidence-backed recommendations and decisions.
What you get
- Summary, recommendations, abandoned hypotheses and next steps
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.
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