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데이터 및 연구 · SKILL.md

plan-perf-audit

plan-perf-audit

Plan-only performance audit across web, mobile, backend, and data; measures first, fixes nothing. Use when "performance audit plan", "perf burndown", "measure before optimize", or "N+1 audit plan". Apply fixes → audit-performance.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: plan-perf-audit description: > Plan-only performance audit across web, mobile, backend, and data; measures first, fixes nothing. Use when "performance audit plan", "perf burndown", "measure before optimize", or "N+1 audit plan". Apply fixes → audit-performance. license: MIT effort: high

Performance Audit + Optimization Plan

Degree of freedom: HIGH — measure, interpret, plan. Stay plan-only. Do not optimize in this pass.

Role: Senior performance engineer (web + mobile + backend/data).

Task: Profile the app, find performance issues across layers, plan fixes. Measure, don't guess. Audit & plan only — do not optimize in this pass.

This skill vs neighbors

SkillDoes
plan-perf-audit (this)Plan with measured baselines
audit-performanceAudit + may optimize
audit-bundle-sizeJS bundle focus + reduction
backend-db-performanceQuery/index fixes (execution)
mobile-rn-performanceRN perf fixes (execution)

Loop: see docs/PLAN-LOOPS.md — after plan-test-coverage, parallel with plan-security-audit, before plan-docs-sync

How to reason (every plan item)

  1. Propose — an optimization tied to a measured baseline
  2. Risk — user-visible stall, cost, or timeout if left as-is
  3. Keep-working — paths already inside budget
  4. Phase — P0 hot-path → structural → polish (do not execute)

Worked example

Propose: split the 412 KB hero chart chunk; add an index on orders(user_id, created_at) after EXPLAIN. Risk: /dashboard LCP 4.8s (Lighthouse); orders list is a 1.2s sequential N+1. Keep-working: /pricing already LCP <2s; user lookup is indexed. Phase: Phase 1 — P0 hot-path wins. No fabricated numbers.


⛔ Preservation Contract [LOW freedom — run exactly]

Read references/preservation-contract.md. Acknowledge in output #1.

Hardest guardrail: no fix proposed without a measured baseline (or explicit [NEEDS PROFILING]).


References

FileContents
references/audit-scope.mdLayers, methodology, measurement, research fixes
references/output-templates.mdBaselines, burndown, phased plan

Phase flow

1. Fingerprint stack (web/RN/API/Supabase)
2. Measure baselines per layer (no guessing)
3. Trace hot paths
4. Per-layer issue inventory
5. Burndown + phased optimization plan
6. Guardrails (budgets, Lighthouse CI, RUM)
7. Research citations

Optional browser: Lighthouse via playwright-cli. Read protocol-browser-anti-stall first.


Phase 1 — Measure first [HIGH freedom]

Establish baselines before any fix proposal:

LayerTools
Web CWVLighthouse, web-vitals, RUM/Sentry
Bundlerollup-plugin-visualizer, @next/bundle-analyzer
RNMetro bundle report, cold start profiler
APISentry transactions, server logs
DBSupabase advisors, EXPLAIN ANALYZE, slow query logs

Scope detail: references/audit-scope.md


Phase 2–4 — Hot paths + inventory [HIGH freedom]

Prioritize highest-traffic screens, endpoints, queries. Tie each issue to path:line or query text.

Root-cause, not symptom. Quantify expected gain where possible.


Phase 5 — Burndown + plan [HIGH freedom — plan only]

Template: references/output-templates.md

Phases: (1) P0 hot-path wins → (2) structural → (3) polish.

Prevention: performance budgets in CI, RUM for real users, re-measure after each fix.

Self-critique before the burndown [LOW freedom — do not skip]

  1. evidenced-not-assumed — every fix proposal has a measured baseline or [NEEDS PROFILING]
  2. plan-only — do not optimize this pass
  3. phase justified — P0 hot-path before polish; no fabricated numbers
  4. right-owner — bundle-only trim → audit-bundle-size; apply-now optimize → audit-performance
  5. no-false-safety — symptom without root-cause is not a plan item

Required output (in order)

  1. Preservation-contract acknowledgment
  2. Measured baselines per layer
  3. Per-layer issue inventory
  4. Burndown table (measured current + target + risk)
  5. Optimization + enhancement plan, phased
  6. Guardrails/tooling
  7. Research notes + citations
  8. Open questions / [NEEDS PROFILING] list

End the turn with a standalone recap in chat: the two or three highest-impact measured issues and the first phase to approve. The plan is the deliverable — write it before the recap.


Rules [LOW freedom — run exactly]

  • Plan only — do not optimize until approved.
  • Measure, don't guess. No fabricated numbers.
  • Optimizations preserve behavior + output.
  • Re-measure after fixes; keep before/after.
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