Measure bundle size, runtime latency, and memory against performance budgets.
npx skills add https://github.com/hatch3r/hatch3r --skill hatch3r-perf-audit
Please help me install this Agent Skill. Skill: hatch3r-perf-audit Source: https://github.com/hatch3r/hatch3r/tree/main/skills/hatch3r-perf-audit Command: npx skills add https://github.com/hatch3r/hatch3r --skill hatch3r-perf-audit
This Skill helps you find why your app underperforms and bring it back within agreed performance budgets.
It profiles bundle size, runtime, and memory to pinpoint the specific hot paths and budget violations blocking faster experiences. It works across frontend and backend/API surfaces for scenarios like regression investigations, audit readiness, and targeted optimization of critical pathways. It then guides incremental implementation of fixes (code splitting, lazy loading, memoization, dependency and asset reductions, caching, and warm-up strategies) followed by verification to prevent regressions.
Ask hatch3r-perf-audit to audit your project’s performance against its defined budgets, profile the critical paths, implement targeted optimizations, and verify lint, typecheck, tests, and a rebuilt output.
High-intent search queries and answers about installing and using this skill.
To audit application performance, profile bundle size, runtime latency, and memory usage to pinpoint hot paths and budget violations. The process includes discovering budgets, instrumenting profiling, prioritizing violations, and verifying fixes with automated checks to prevent regressions.
A performance budget defines acceptable limits for bundle size, runtime latency, and memory usage. You need to enforce budget thresholds during regression investigations and audit readiness to identify violations blocking faster experiences across frontend and backend/API surfaces.
Fix memory leaks and reduce runtime latency by applying targeted optimizations to hot paths, including code splitting, lazy loading, memoization, and caching. Implement these fixes incrementally with before and after measurements to verify their impact.
Yes, you can use a performance audit for both frontend and backend API optimization. It profiles critical pathways across both surfaces, applying hot-path tuning, dependency reductions, and warm-up strategies to bring applications back within agreed performance budgets.
The best way to optimize bundle size without regressions is incremental optimization using code splitting and asset reductions, followed by verification. Run automated checks including lint, typecheck, tests, and a rebuilt output to ensure stability after each change.
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