Automate Python code quality reviews using four-tier rule sets.
npx skills add https://github.com/GOODWORKRINKZ/mylamp --skill python-expert-goodworkrinkz
Please help me install this Agent Skill. Skill: python-expert Source: https://github.com/GOODWORKRINKZ/mylamp/tree/main/.agents/skills/python-expert Command: npx skills add https://github.com/GOODWORKRINKZ/mylamp --skill python-expert-goodworkrinkz
Coordinate Python development practices by providing actionable guidance and templates to help developers write correct, efficient, and well-documented Python code, reducing bugs and increasing maintainability.
Provide a Python snippet or task description, and I will apply the rules to generate, review, or optimize the code.
High-intent search queries and answers about installing and using this skill.
Python code review for PEP 8, type hints, and docstrings is automated by applying a four-tier rule set covering correctness, type safety, performance, and style. The review checks for mutable default arguments, explicit error handling, and adherence to formatting standards.
Fixing mutable default arguments in Python dataclasses requires applying correctness-focused rules that detect unsafe defaults and suggest explicit error handling. The guidance provides templates to restructure dataclasses safely, ensuring type safety and preventing runtime bugs.
Writing Python code with context managers and list comprehensions correctly is supported by performance and style rules. The guidance provides examples and templates that optimize resource management and adhere to PEP 8 standards.
Python code debugging and documentation tasks in medium to large projects are fully supported. The guidance applies a four-tier rule set sourced from rules and AGENTS.md to ensure code correctness, type safety, and comprehensive documentation patterns.
Python code review type safety checks fail when type hints are missing or dataclasses are improperly structured. The review applies explicit rules to enforce type hints and comprehensive documentation patterns, ensuring type safety and reducing bugs.
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pcasarettoReview Python code for Pythonic patterns, type safety, and maintainability.
PriyanshKuniyalEnforce PEP 8 formatting, naming, and documentation standards in Python code.
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