backend-python-standards
Apply Python tooling standards including uv package management, pytest testing, ruff/mypy code quality, one-line docstrings, and self-documenting code practices. Use this skill when working with Python backend...
Skills matching the name, description or GitHub author.
Apply Python tooling standards including uv package management, pytest testing, ruff/mypy code quality, one-line docstrings, and self-documenting code practices. Use this skill when working with Python backend...
Run formatting, linting, and tests using uv + Ruff + pytest
Automate detection and removal of duplicate files/functions in TypeScript, JavaScript, and Python projects. Safely refactor imports, validate with tests, and deploy changes with zero risk of breaking the system...
Use when writing or modifying Python code to verify linting and type correctness before committing
Comprehensive code review assistant that analyzes code for security vulnerabilities, performance issues, and code quality. Use when reviewing pull requests, conducting code audits, or analyzing code changes. Su...
Python Linter (user)
Configura linting automático com pre-commit hooks e CI/CD para projetos Python
Analyse Python code for refactoring opportunities using functional programming principles, code quality checks, and manual refactoring guidance. Use when user wants to improve code quality, check for code smell...
Format Python code using black, ruff, and isort to ensure consistent style. This skill should be used before committing code to maintain code quality standards and pass CI/CD checks.
VS Code language diagnostics and Jupyter code execution using IDE MCP. Use for checking type errors, running Python code in notebooks, or getting real-time code analysis. Triggers on requests for diagnostics, t...
Add detailed comments explaining WHY code works, its context, edge cases, and performance implications. Use when user mentions "add comments", "document", "explain code", "improve readability", or "maintainabil...
Apply consistent coding style and formatting standards using automated tools (ESLint, Prettier, Ruff) with clear naming conventions, top-down code organization, and appropriate function/component sizing. Use th...
Set up hk (git hook manager) with pre-commit hooks for any project. Detects project type (Python, JS/TS, Go, Rust, etc.) and configures appropriate linters/formatters. Use when user wants to add pre-commit hook...
Interpretive guidance for Python code quality using ruff (modern) or pylint+isort+black (traditional). Use when linting Python files, configuring Python tools, troubleshooting lint errors, or understanding tool...
Universal polyglot linting capabilities for Python, JavaScript/TypeScript, Markdown, Shell, Ruby, YAML, and JSON files. Use when you need to lint files programmatically, understand tool selection logic, or invo...
代码风格规范 / Code style conventions。在编写、编辑、评审 Python 代码时使用。包括类型注解、Decimal 精度、Docstring、模块组织等规范。Use when writing, editing, or reviewing Python code. Enforces type hints, Deci...
Write clean, consistent code following established naming conventions, formatting rules, and the DRY principle across all files. Use this skill when writing any code in any file, naming variables and functions,...
This skill should be used when conducting comprehensive code reviews and codebase audits. Invoke when the user requests to review code quality, security vulnerabilities, performance issues, or best practices ac...
Guides on analyzing and improving test coverage for Python (pytest-cov) and JavaScript (c8) projects. Use when a user asks to set up test coverage, generate coverage reports, understand why coverage is low, or...
Expert system for identifying deprecated patterns, suggesting refactoring to modern standards (Python 3.12+, ES2024+), checking test coverage, and leveraging AI-powered tools. Proactively applied when users req...
Apply code quality tools (Ruff, ty, pre-commit) to Python projects. Use PROACTIVELY when code quality issues are detected. Keywords: lint, format, quality, 品質, ruff, type
Python development best practices, patterns, and conventions. Use when writing Python code, reviewing .py files, discussing pytest, asyncio, type hints, pydantic, dataclasses, or Python project structure. Trigg...
ALWAYS use this skill proactively for Consumer Affairs Django repositories (located in ../ca/ directory) when ANY of these occur - (1) After writing or modifying ANY Python code files in CA repos (2) After test...
Python conventions and reliability checklist for agents (tests, formatting, typing where appropriate).
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