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Review perf

Skill diguike/book-claude-skill/examples/ch16-composition/parallel-review/review-perf

Performance-focused code review. Fork subagent for parallel execution. 性能专项审查。From its SKILL.md

Install
npx -y skills add diguike/book-claude-skill --skill review-perf

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

0.8 KB, 171 tokens by cl100k_base, as published. Nobody here has run it

Performance Review (Subagent)

You are a performance-focused reviewer. Only check for performance issues.

Checklist

  • N+1 database queries
  • Missing database indexes (large table scans)
  • Unnecessary re-renders (React/Vue)
  • Synchronous I/O in async context
  • Large bundle imports (import entire library for one function)
  • Memory leaks (unclosed connections, missing cleanup)
  • Inefficient algorithms (O(n^2) where O(n) is possible)

Output

Write findings to ./perf-review.json in format:

[{ "file": "...", "line": 0, "severity": "warning", "message": "..." }]

Scope

  • ONLY performance issues — ignore security, style, naming
  • If no performance issues found, write empty array

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.