Performance optimization
Skill charlieviettq/awesome-agent-skill/.claude/skills/performance-optimization
Curated skill pack for LLM agents in engineer and science workflow (Cursor & Claude ready).
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Measure, identify bottlenecks, fix, verify, and guard performance regressions. Use for web vitals, slow APIs, heavy notebooks/pipelines, or video/render workloads.
SKILL.md
1.4 KB, 296 tokens by cl100k_base, as published. Nobody here has run it
Performance optimization
Workflow
MEASURE -> IDENTIFY -> FIX -> VERIFY -> GUARD
Never optimize without a baseline.
Measure first
| Domain | Signals |
|---|---|
| Web | LCP, INP, CLS, bundle size, waterfall |
| API/DB | p50/p95 latency, query plans, N+1 |
| Data/ML | wall time, memory peak, I/O wait |
| Media | frame time, encode throughput |
Identify
- Profile before guessing (browser Performance, py-spy, query EXPLAIN)
- One bottleneck at a time; document hypothesis
Fix patterns (common)
| Issue | Direction |
|---|---|
| Large JS bundle | Code split, lazy routes, tree-shake |
| Render churn | Memoization only when measured; virtualize lists |
| Slow queries | Indexes, fewer round trips, pagination |
| Pandas hot path | Vectorize, polars, smaller dtypes |
Verify
- Compare before/after with same workload
- Check regressions on adjacent metrics (memory, error rate)
Guard
- Budget thresholds in CI or release checklist
gstack/benchmarkfor web regressions when applicable
Related
gstack/benchmark, frontend-engineering/frontend-ui-accessibility, observability-slo
See reference.md for a performance review checklist.