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'%20stop-opacity%3D'0.16'%2F%3E%3Cstop%20offset%3D'1'%20stop-color%3D'rgb(200%2C90%2C60)'%20stop-opacity%3D'0.03'%2F%3E%3C%2FlinearGradient%3E%3C%2Fdefs%3E%3Crect%20width%3D'320'%20height%3D'200'%20fill%3D'url(%23g)'%2F%3E%3Ccircle%20cx%3D'250'%20cy%3D'56'%20r%3D'92'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.06'%2F%3E%3Ccircle%20cx%3D'64'%20cy%3D'172'%20r%3D'58'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.05'%2F%3E%3C%2Fsvg%3E)
From perf
Synthesizes performance findings from baselines, experiments, profiling, and hypotheses into evidence-backed summaries, recommendations, and next steps.
How this skill is triggered — by the user, by Claude, or both
Slash command
/perf:analyzerThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Synthesize performance investigation results into clear recommendations.
Synthesize performance investigation results into clear recommendations.
Follow docs/perf-requirements.md as the canonical contract.
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>
npx claudepluginhub frmoretto/awesome-claude-plugins --plugin perfSynthesizes performance investigation results into evidence-backed recommendations and decisions. Takes profiling evidence, baseline data, and experiment results to produce actionable steps and abandoned hypotheses.
Investigates and fixes performance issues (slow responses, high memory, CPU spikes) using a measure-first methodology: profile before guessing, baseline before fixing, re-measure after changes.
Systematic performance profiling and optimization. Use when performance issues are reported or suspected. Measure first, optimize second. Applies Pareto principle — find the 20% of code causing 80% of slowness, fix that, not the rest.