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Agent_skills python-async-advisor

Review asynchronous Python code to identify race conditions, deadlocks, and inefficient patterns. Use when working with asyncio, aiohttp, or FastAPI.

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 "$T/python-async-advisor" ~/.claude/skills/jorgealves-agent-skills-python-async-advisor && rm -rf "$T"
manifest: python-async-advisor/SKILL.md
source content

Python Async/Await Advisor

Purpose and Intent

Review asynchronous Python code to identify race conditions, deadlocks, and inefficient patterns. Use when working with asyncio, aiohttp, or FastAPI.

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.