Optimizing Performance

This one walks you through the full performance optimization cycle: measure baseline, identify bottlenecks, apply fixes, measure again. It covers frontend stuff like bundle splitting and memoization, backend patterns like multi-layer caching and async job queues, plus database query optimization. The real value is in the structure. It forces you to profile before changing anything and gives you concrete metrics to hit (P95 under 500ms, LCP under 2.5s). Good for when something feels slow but you're not sure where to start digging. The comparison tables and checklist format keep you honest about whether your changes actually helped.

skills.sh installs: 225
GitHub stars: 1.4K
last updated: Aug 21, 2026

View on GitHub

Install

$ npx -y skills add cloudai-x/claude-workflow-v2 --skill optimizing-performance --agent claude-code

Installs into .claude/skills of the current project.

Files

Optimizing Performance

When to Load

Trigger: Diagnosing slowness, profiling, caching strategies, reducing load times, bundle size optimization
Skip: Correctness-focused work where performance is not a concern

Performance Optimization Workflow

Copy this checklist and track progress:

Performance Optimization Progress:
- [ ] Step 1: Measure baseline performance
- [ ] Step 2: Identify bottlenecks
- [ ] Step 3: Apply targeted optimizations
- [ ] Step 4: Measure again and compare
- [ ] Step 5: Repeat if targets not met

Critical Rule: Never optimize without data. Always profile before and after changes.

Step 1: Measure Baseline

Profiling Commands

# Node.js profiling
node --prof app.js
node --prof-process isolate*.log > profile.txt

# Python profiling
python -m cProfile -o profile.stats app.py
python -m pstats profile.stats

# Web performance
lighthouse https://example.com --output=json