Agent skill

performance-profiling

Performance profiling principles. Measurement, analysis, and optimization techniques.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorships scriptsMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill performance-profiling --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 3 KB
Bundled scripts: yes
Path: skills/performance-profiling/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 improvement ``` ### Profiling 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 |

What's inside
Steps it walks through
  1. 🔧 Runtime Scripts
  2. 1. Core Web Vitals
  3. Targets
  4. When to Measure
  5. 2. Profiling Workflow
  6. The 4-Step Process
  7. Profiling Tool Selection
  8. 3. Bundle Analysis
  9. What to Look For
  10. Optimization Actions
  11. 4. Runtime Profiling
  12. Performance Tab Analysis
  13. Memory Tab Analysis
  14. 5. Common Bottlenecks
Ships with 1 file
  • scripts/lighthouse_audit.py
More from agentic-awesome-skills
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About this skill
What does the performance-profiling skill do?

Performance profiling principles. Measurement, analysis, and optimization techniques.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill performance-profiling --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going