Write and review PEP 8-compliant, type-annotated Python code.
npx skills add https://github.com/khrore/nix-config --skill python-expert-khrore
Please help me install this Agent Skill. Skill: python-expert Source: https://github.com/khrore/nix-config/tree/main/dotfiles/common/.config/opencode/skills/python-expert Command: npx skills add https://github.com/khrore/nix-config --skill python-expert-khrore
Many Python projects suffer from subtle correctness bugs, inconsistent style, missing type information, weak error handling, and avoidable performance issues; this skill supplies senior-level guidance to fix those problems and raise code quality to production standards.
Review the attached Python file for correctness, add missing type hints and docstrings, flag security and performance issues, and suggest concrete fixes.
High-intent search queries and answers about installing and using this skill.
To add type hints and docstrings to a Python codebase, review your scripts and libraries function by function, applying PEP 8-compliant type annotations and explicit error handling to raise code quality to production standards.
Finding Python performance anti-patterns involves a profiling-first approach to identify bottlenecks, allowing you to apply concrete fixes like list comprehensions and context managers for optimized real-world scripts.
Fixing mutable default arguments and improper exception handling requires a senior-level code review that identifies these subtle correctness bugs and provides concrete, PEP 8-compliant fixes with explicit error handling for your Python code.
Yes, you can get a Python code review for small to medium projects that identifies missing type information, weak error handling, and inconsistent style, supplying actionable recommendations to achieve production-grade reliability.
Your Python script may have subtle correctness bugs due to mutable default arguments, missing type annotations, or weak error handling that basic tests miss, requiring a senior-level audit to supply concrete fixes.
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