Agent skill · data analytics · aiskillstore
python-performance-optimization
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.
Why this skill is useful
Provides specific techniques and best practices for profiling and optimizing Python code that the AI wouldn't reliably generate on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/python-performance-optimization--043d3b