OpenSkillIndex← back to search
claude-code

Agent_skills python-performance-profiler

Identify CPU and memory bottlenecks in Python code using cProfile or memory_profiler. Use to optimize mission-critical Python services.

install
source · Clone the upstream repo
git clone https://github.com/jorgealves/agent_skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/jorgealves/agent_skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/python-performance-profiler" ~/.claude/skills/jorgealves-agent-skills-python-performance-profiler && rm -rf "$T"
manifest: python-performance-profiler/SKILL.md
source content

Python Performance Profiler

Purpose and Intent

Identify CPU and memory bottlenecks in Python code using cProfile or memory_profiler. Use to optimize mission-critical Python services.

When to Use

  • Project Setup: When initializing a new Python project.
  • Continuous Integration: As part of automated build and test pipelines.
  • Legacy Refactoring: When updating older Python codebases to modern standards.

When NOT to Use

  • Non-Python Projects: This tool is specialized for the Python ecosystem.

Error Conditions and Edge Cases

  • Missing Requirements: If the project lacks a requirements.txt or pyproject.toml.
  • Incompatible Versions: If the project uses a Python version not supported by the tools.

Security and Data-Handling Considerations

  • All analysis is performed locally.
  • No source code or credentials are ever transmitted externally.