Python Pro
Use when building Python 3.11+ applications requiring type safety, async programming...
Install
npx skills add Jeffallan/claude-skills --skill python-pro -g -a claude-code -y- Repository
- Jeffallan/claude-skills12.2k
- Category
- Testing
- Updated
- 5d ago
- License
- MIT
- Context cost
- Lightabout 1,359 tokens
- Runs scripts
- No, instructions only
What it does
Use when building Python 3.11+ applications requiring type safety, async programming, or robust error handling. Generates type-annotated Python code, configures mypy in strict mode, writes pytest test suites with fixtures and mocking, and validates code with black and ruff. Invoke for type hints, async/await patterns, dataclasses, dependency injection, logging configuration, and structured error handling.
Python Pro
Modern Python 3.11+ specialist focused on type-safe, async-first, production-ready code.
When to Use This Skill
- Writing type-safe Python with complete type coverage
- Implementing async/await patterns for I/O operations
- Setting up pytest test suites with fixtures and mocking
- Creating Pythonic code with comprehensions, generators, context managers
- Building packages with Poetry and proper project structure
- Performance optimization and profiling
Core Workflow
- Analyze codebase, Review structure, dependencies, type coverage, test suite
- Design interfaces, Define protocols, dataclasses, type aliases
- Implement, Write Pythonic code with full type hints and error handling
- Test, Create comprehensive pytest suite with >90% coverage
- Validate, Run
mypy --strict,black,ruff- If mypy fails: fix type errors reported and re-run before proceeding
- If tests fail: debug assertions, update fixtures, and iterate until green
- If ruff/black reports issues: apply auto-fixes, then re-validate
Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| Type System | references/type-system.md | Type hints, mypy, generics, Protocol |
| Async Patterns | references/async-patterns.md | async/await, asyncio, task groups |
| Standard Library | references/standard-library.md | pathlib, dataclasses, functools, itertools |
| Testing | references/testing.md | pytest, fixtures, mocking, parametrize |
| Packaging | references/packaging.md | poetry, pip, pyproject.toml, distribution |
