Identify Python code quality issues in language and runtime conventions.
npx skills add https://github.com/nesnilnehc/ai-cortex --skill review-python-nesnilnehc
Please help me install this Agent Skill. Skill: review-python Source: https://github.com/nesnilnehc/ai-cortex/tree/main/skills/review-python Command: npx skills add https://github.com/nesnilnehc/ai-cortex --skill review-python-nesnilnehc
This Skill helps identify and report Python language and runtime convention issues in a given codebase.
Provide a Python code range to review, and the skill will return a findings list describing language and runtime conventions.
High-intent search queries and answers about installing and using this skill.
To audit Python code for type hints and async/await patterns, provide a Python code range for review. The tool identifies language and runtime convention issues, returning findings with file:line references, severity, and optional suggestions.
Checking PEP8 naming conventions and exception handling requires a focused language-quality pass on your Python project. This tool evaluates those specific runtime conventions and outputs a detailed findings list without delving into security or architecture.
Yes, you can use this for Python code review on context managers and testability. It assesses dependency management and testability considerations, applying specifically to Python projects and code ranges provided by the caller.
Yes, the Python code audit ignores non-Python files for Python-specific rules unless explicitly included. It focuses entirely on identifying Python language and runtime convention issues within the provided codebase.
A key limitation when auditing Python language conventions is that it does not delve into security or architecture. It strictly focuses on language and runtime quality issues like type hints, exceptions, and dependency management.
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