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Expert in uv, the ultra-fast Python package manager and project tool. Use when setting up Python projects, managing dependencies, creating virtual environments, installing Python versions, working with lockfiles, migrating from pip/poetry/pip-tools, or optimizing Python workflows with uv's blazing-fast performance.
Interact with MicroPython boards via mpy-repl-tool to push files, execute code, and test MicroPython scripts. Use when working with MicroPython development, testing board functionality, or evaluating MicroPython code on hardware.
Comprehensive guide for using multi-threading and multi-processing in Python, including when to choose each approach, best practices, and practical examples using the speedy_utils library.
SLASH COMMAND ONLY - Do NOT invoke automatically. Only runs via /test-gh-skills command. Executes Python test orchestrator for 80 tests across 6 skill groups.
Pre-commit hooks framework for multi-language code quality automation. USE WHEN setting up pre-commit OR configuring git hooks OR adding linting OR code formatting OR security scanning OR Terraform validation OR Kubernetes manifests OR Helm charts OR Python linting OR JavaScript formatting. Manages .pre-commit-config.yaml, hook installation, and CI integration.
The model must use this skill when : 1. working within any python project. 2. Python CLI applications with Typer and Rich are mentioned by the user. 2. tasked with Python script writing or editing. 3. building CI scripts or tools. 4. Creating portable Python scripts with stdlib only. 5. planning out a python package design. 6. running any python script or test. 7. writing tests (unit, integration, e2e, validation) for a python script, package, or application. Reviewing Python code against best practices or for code smells. 8. The python command fails to run or errors, or the python3 command shows errors. 9. pre-commit or linting errors occur in python files. 10. Writing or editing python code in a git repository.\n<hint>This skill provides : 1. the users preferred workflow patterns for test-driven development, feature addition, refactoring, debugging, and code review using modern Python 3.11+ patterns (including PEP 723 inline metadata, native generics, and type-safe async processing). 2. References to favor
Automatically apply standard coding conventions when writing or modifying code. Use this skill when working with Python, TypeScript, JavaScript, Go, PHP, or creating git commits. Triggers include writing new code, refactoring existing code, or committing changes in supported languages.
Create QDUOJ online judge problems (single or batch) with proper format. Use when user mentions creating QDUOJ problems, coding challenges, test cases, or OJ import.
Comprehensive Python engineering guidelines for writing production-quality Python code. This skill should be used when writing Python code, performing Python code reviews, working with Python tools (uv, ruff, mypy, pytest), or answering questions about Python best practices and patterns. Applies to CLI tools, AI agents (langgraph), and general Python development.
This skill should be used when users need to lint, format, or validate Python code using the Ruff command-line tool. Use this skill for tasks involving Python code quality checks, automatic code formatting, enforcing style rules (PEP 8), identifying bugs and security issues, or modernizing Python code. This skill should be invoked PROACTIVELY whenever Python code is written or modified to ensure code quality.
Writes Python code following FiftyOne's official conventions. Use when contributing to FiftyOne, developing plugins, or writing code that integrates with FiftyOne's codebase.
Python code quality standards (PEP 8, type hints, docstrings). Use when writing Python code.
Review Python code ensuring strict type safety with Python 3.12+ conventions. Use when reviewing Python code, writing new Python code, or refactoring existing Python code.
Create AST-based checks for evaluating generated Python code quality
Review Python code for adherence to SOLID principles (SRP, OCP, LSP, ISP, DIP). Use when reviewing Python code for maintainability, testability, and design quality.
Python coding standards, conventions, and best practices. Use when writing, reviewing, or testing Python code.
Guide for writing clean, efficient, idiomatic Python 3.11+ code. Enforces type hints, Pydantic v2 for APIs, comprehensions over loops, EAFP error handling. Triggers on "python", "pythonic", ".py file", "write python", "python script", "python function", "python class", "pydantic", "fastapi", "pytest", "type hint", "typing", "dataclass", "async def", "asyncio", "aiohttp", "comprehension", "generator", "decorator", "context manager", "with statement", "exception handling", "try except", "raise", "logging python", "argparse", "click", "typer", "__init__", "__main__", "import", "from import", "python module", "python package", "requirements.txt", "pyproject.toml", "ruff", "mypy", "black", "isort", "python testing", "fixture", "parametrize", "edit .py", "modify .py", "update .py", "change .py", "fix .py", "refactor .py", "edit python", "modify python", "update python", "change python", "fix python code". PROACTIVE: MUST invoke BEFORE using Write OR Edit on ANY .py file.
Use rut test runner instead of pytest for running Python unittest tests.
