performance-profile
Skill1 starsChanged 7 months agoMITView on GitHub
Performance profiling and bottleneck detection for Node.js, Python, and browser apps
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- LIXIAO199115/skillrigtheir own version, first seen Nov 15, 2026
Other versions1 project uses a version of this.
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- LIXIAO199115/skillrig★ 0same name
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In this repository206 other files it gives its agents.
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- project-healthSkill
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The file
Files
Performance Profiling & Bottleneck Detection
I'll profile your application to identify performance bottlenecks and provide optimization recommendations.
Supported Environments:
- Node.js profiling (--inspect, clinic.js)
- Browser performance (Chrome DevTools)
- Python profiling (cProfile, line_profiler)
- Bottleneck identification
- Memory leak detection
- Optimization recommendations
Arguments: $ARGUMENTS - optional: node|python|browser or specific file/route to profile
Token Optimization
Expected range: 400–2,500 tokens (initial), 200 tokens (cache hit)
Caching: Caches runtime detection in .claude/cache/performance-profile/runtime.json for 7 days. Invalidated when package.json changes.
Early exit: Returns immediately if the profiling environment is already configured.
Patterns used: Grep-before-Read, early exit, Bash for system queries, caching
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