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aprameyakaprameyak/coding-skills/performance-audit/SKILL.md

performance-audit

Skill1 starsChanged 41 days agoMITView on GitHub

Find and fix meaningful performance issues. Use when investigating slowness, high memory/CPU, expensive queries, or optimizing hot paths.

20 other projects use a version of this.

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Projects with it also use incident-response, security-audit and 1 more.

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    Also in 4 projects that use this

  • CloudflareSkill

    security-audit

    Security guidance and vulnerability review for codebases, APIs, services, CLI tools, libraries, and daemons. Use for security questions, focused reviews, vulnerability research, security audits, or pen tests. Run the complete workflow only for explicit codebase audit or pen-test requests, full/comprehensive/end-to-end reviews, or requested report artifacts.

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The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 17 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Do not optimize unmeasured code.

    line 27
  2. Distinctive:

    Prefer algorithmic/IO fixes over micro-tweaks.

    line 28

“Common” is measured: kept by at least 6 in 10 of the 17 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Performance Audit

Process

  1. Define the metric (latency, throughput, memory, cost) and target.
  2. Measure before changing anything.
  3. Find the hotspot with profiling or query plans, not guesses.
  4. Fix the dominant bottleneck first.
  5. Re-measure; stop when the target is met.

Common Fixes

  • N+1 queries → batch/join/dataloader
  • Missing indexes → add based on query shapes
  • Overfetch → select only needed fields / paginate
  • Sync work on request path → cache or background job
  • Repeated computation → memoize at the correct layer
  • Large payloads → compress, paginate, stream

Rules

  • Do not optimize unmeasured code.
  • Prefer algorithmic/IO fixes over micro-tweaks.
  • Preserve correctness and readability; document intentional complexity.
  • Include before/after numbers when reporting.

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