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skills/python-performance-optimization/SKILL.md

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+---
+name: python-performance-optimization
+description: Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
+---
+
+# Python Performance Optimization
+
+Comprehensive guide to profiling, analyzing, and optimizing Python code for better performance, including CPU profiling, memory optimization, and implementation best practices.
+
+## Use this skill when
+
+- Identifying performance bottlenecks in Python applications
+- Reducing application latency and response times
+- Optimizing CPU-intensive operations
+- Reducing memory consumption and memory leaks
+- Improving database query performance
+- Optimizing I/O operations
+- Speeding up data processing pipelines
+- Implementing high-performance algorithms
+- Profiling production applications
+
+## Do not use this skill when
+
+- The task is unrelated to python performance optimization
+- You need a different domain or tool outside this scope
+
+## Instructions
+
+- Clarify goals, constraints, and required inputs.
+- Apply relevant best practices and validate outcomes.
+- Provide actionable steps and verification.
+- If detailed examples are required, open `resources/implementation-playbook.md`.
+
+## Resources
+
+- `resources/implementation-playbook.md` for detailed patterns and examples.