Performance Profiling
Performance Profiling is an code AI skill with a core value of Performance profiling principles. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Performance profiling principles. Measurement, analysis, and optimization techniques.
Quick Facts
mkdir -p ./skills/performance-profiling && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/performance-profiling/SKILL.md -o ./skills/performance-profiling/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Performance Profiling
> Measure, analyze, optimize - in that order.
🔧 Runtime Scripts
**Execute these for automated profiling:**
| Script | Purpose | Usage |
|--------|---------|-------|
| `scripts/lighthouse_audit.py` | Lighthouse performance audit | `python scripts/lighthouse_audit.py https://example.com` |
---
1. Core Web Vitals
Targets
| Metric | Good | Poor | Measures |
|--------|------|------|----------|
| **LCP** | < 2.5s | > 4.0s | Loading |
| **INP** | < 200ms | > 500ms | Interactivity |
| **CLS** | < 0.1 | > 0.25 | Stability |
When to Measure
| Stage | Tool |
|-------|------|
| Development | Local Lighthouse |
| CI/CD | Lighthouse CI |
| Production | RUM (Real User Monitoring) |
---
2. Profiling Workflow
The 4-Step Process
1. BASELINE → Measure current state
2. IDENTIFY → Find the bottleneck
3. FIX → Make targeted change
4. VALIDATE → Confirm improvementProfiling Tool Selection
| Problem | Tool |
|---------|------|
| Page load | Lighthouse |
| Bundle size | Bundle analyzer |
| Runtime | DevTools Performance |
| Memory | DevTools Memory |
| Network | DevTools Network |
---
3. Bundle Analysis
What to Look For
| Issue | Indicator |
|-------|-----------|
| Large dependencies | Top of bundle |
| Duplicate code | Multiple chunks |
| Unused code | Low coverage |
| Missing splits | Single large chunk |
Optimization Actions
| Finding | Action |
|---------|--------|
| Big library | Import specific modules |
| Duplicate deps | Dedupe, update versions |
| Route in main | Code split |
| Unused exports | Tree shake |
---
4. Runtime Profiling
Performance Tab Analysis
| Pattern | Meaning |
|---------|---------|
| Long tasks (>50ms) | UI blocking |
| Many small tasks | Possible batching opportunity |
| Layout/paint | Rendering bottleneck |
| Script | JavaScript execution |
Memory Tab Analysis
| Pattern | Meaning |
|---------|---------|
| Growing heap | Possible leak |
| Large retained | Check references |
| Detached DOM | Not cleaned up |
---
5. Common Bottlenecks
By Symptom
| Symptom | Likely Cause |
|---------|--------------|
| Slow initial load | Large JS, render blocking |
| Slow interactions | Heavy event handlers |
| Jank during scroll | Layout thrashing |
| Growing memory | Leaks, retained refs |
---
6. Quick Win Priorities
| Priority | Action | Impact |
|----------|--------|--------|
| 1 | Enable compression | High |
| 2 | Lazy load images | High |
| 3 | Code split routes | High |
| 4 | Cache static assets | Medium |
| 5 | Optimize images | Medium |
---
7. Anti-Patterns
| ❌ Don't | ✅ Do |
|----------|-------|
| Guess at problems | Profile first |
| Micro-optimize | Fix biggest issue |
| Optimize early | Optimize when needed |
| Ignore real users | Use RUM data |
---
> **Remember:** The fastest code is code that doesn't run. Remove before optimizing.
When to Use
This skill is applicable to execute the workflow or actions described in the overview.
🎯 Best For
- Claude users
- Software engineers
- Development teams
- Tech leads
💡 Use Cases
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Performance Profiling to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Is Performance Profiling compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Performance Profiling?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Performance Profiling?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/performance-profiling/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.