Profile and optimize Python code using cProfile, memory profilers, and performance best practices.
NewMaintained
Automatic
◆Coding pack
Last verified 8/27/2026
What it changes
Passed 3 of 22 test cases with the skill, and 3 of 22 without it.
Without skill14%
With skill14%
0 fixed3 passed either way19 still failing0 broke
Pass-rate lift
0 pp
Tokens
+5%
Agent turns
0%
Response time
-4%
Model gemini-3.6-flashMeasured 8/27/2026v23 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
What's inside
The instructions your model reads when the skill loads.
SKILL.md31 linessingle file
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.