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.
npx -y skills add composiohq/awesome-claude-plugins --skill perf-analyzer --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
juliusbrussee/caveman
mattpocock/skills
shadcn/improve
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills