Performance Profiling
Analyzes application performance bottlenecks and resource usage to optimize efficiency through detailed profiling reports.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add vudovn-performance-profiling npx -- -y @trustedskills/vudovn-performance-profiling
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"vudovn-performance-profiling": {
"command": "npx",
"args": [
"-y",
"@trustedskills/vudovn-performance-profiling"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill enables AI agents to analyze application performance bottlenecks and resource usage, ultimately helping optimize efficiency through detailed profiling reports. It provides tools and workflows for measuring key metrics like Core Web Vitals (LCP, INP, CLS), bundle size, runtime behavior, and memory consumption. The goal is to identify areas for improvement and validate the impact of optimizations.
When to use it
This skill is useful in several scenarios:
- Development: Identifying performance issues early on during local development.
- CI/CD Pipelines: Automating performance audits as part of continuous integration and delivery processes.
- Production Monitoring: Analyzing real user monitoring (RUM) data to understand how users experience the application.
- Troubleshooting Slow Interactions: Investigating slow page loads, sluggish interactions, or janky scrolling.
- Memory Leak Detection: Identifying potential memory leaks and retained references impacting application stability.
Key capabilities
- Lighthouse Audits: Executes Lighthouse audits to measure Core Web Vitals.
- Bundle Analysis: Identifies issues within JavaScript bundles like large dependencies, duplicate code, and unused exports.
- Runtime Profiling: Analyzes performance using browser DevTools Performance tab (long tasks, layout/paint bottlenecks) and Memory tab (heap growth, detached DOM).
- Profiling Workflow: Guides a 4-step process: Baseline, Identify, Fix, Validate.
- Script Execution: Provides scripts like
lighthouse_audit.pyfor automated profiling.
Example prompts
- "Run a Lighthouse audit on example.com."
- "Analyze the JavaScript bundle size and identify potential optimizations."
- "Profile the runtime performance of this application and look for long tasks."
Tips & gotchas
- Prioritize: Focus on fixing the biggest bottlenecks first, rather than micro-optimizing.
- Baseline First: Always establish a baseline measurement before making changes to accurately assess improvements.
- RUM Data is Key: Use real user monitoring (RUM) data for production performance insights.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.