Performance profile
Professional development studio for Claude Code CLI
npx -y skills add manastalukdar/ai-devstudio --skill performance-profileAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Performance profiling and bottleneck detection for Node.js, Python, and browser apps
SKILL.md
1.1 KB, 194 tokens by cl100k_base, as published. Nobody here has run it
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
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most performance cost skills give in 194 tokens
Counted across 803 of the 1,058 authors here whose files we hold, read 2026-08-07
- Keep skill files under 500 lines or tokensin 82 of 803, across 16 files
- Use imperative form in instructionsin 80 of 803, across 9 files
- Draft assertions while test runs are in progressin 75 of 803, across 9 files
- Create two to three realistic test promptsin 74 of 803, across 9 files
- Write skill descriptions to be pushyin 72 of 803, across 7 files
- Save test cases to evals JSONin 72 of 803, across 6 files
- Ask questions about edge cases and input formatsin 72 of 803, across 7 files
- Save timing data immediately when runs completein 70 of 803, across 5 files
- Include all trigger conditions in the skill descriptionin 69 of 803, across 3 files
- Launch all test runs in a single turn or simultaneouslyin 69 of 803, across 3 files
- Capture intent before writing a skillin 67 of 803, across 1 file
- Import directly instead of barrel filesin 52 of 803, across 15 files
Said here and by no other author read
- cache runtime detection results
- return immediately if environment is configured
- use bash for system queries
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.