Individual skill
python-performance
Guides expert-level Python performance optimization: cProfile and line_profiler usage, memory profiling with tracemalloc, NumPy vectorization vs pure Python decision tree, Cython integration points, and algorithmic optimization patterns. Use when the user asks about Python performance profiling, memory optimization, speeding up Python code, NumPy vs pure Python decisions, or Cython compilation. Do NOT use when the user asks about async concurrency (use `python-async-patterns`), general Python idioms (use `python-idioms`), or project setup (use `python-project-setup`).
src/process/resources/skills-library/bodies/skills/software-engineering/python-performance/SKILL.md
Source commit 4c030c7b01c241df7b6e3535635a970f10d781af
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 4, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 618
- Repository last updated
- Oct 31, 2026
- License
- AGPL-3.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- acp Repository topic
- agent-orchestration Repository topic
- ai-agent Repository topic
- claude-code Repository topic
- desktop-app Repository topic
- electron Repository topic
- llm Repository topic
- local-first Repository topic
- mcp Repository topic
- rust Repository topic
- python-optimization-debugging Declared skill tag
- testing Derived category
Files and excerpt
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Browse files
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