Agent skill
python-sdk-specialist
Python SDK development with async support and type hints
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/sdk-platform-development/skills/python-sdk-specialist
SKILL.md
Python SDK Specialist Skill
Overview
This skill specializes in developing Pythonic SDKs with full type hint support, async/await capabilities, and modern Python best practices for Python 3.8+ compatibility.
Capabilities
- Design Pythonic SDK architecture following PEP guidelines
- Implement async/await with aiohttp, httpx, or asyncio
- Configure comprehensive type hints with mypy validation
- Support Python 3.8+ with proper compatibility handling
- Implement context managers for resource management
- Design intuitive API surfaces following Python conventions
- Configure packaging for PyPI distribution
- Implement proper logging and debugging support
Target Processes
- Multi-Language SDK Strategy
- SDK Architecture Design
- SDK Testing Strategy
Integration Points
- PyPI package registry
- pytest for testing
- mypy for type checking
- httpx/aiohttp for HTTP clients
- pydantic for data validation
- poetry/setuptools for packaging
Input Requirements
- API specification (OpenAPI, GraphQL, or custom)
- Target Python version range
- Async requirements
- Type strictness level
- Packaging preferences (poetry vs setuptools)
Output Artifacts
- Python SDK package source code
- Type stub files (.pyi) if needed
- pytest test suite
- pyproject.toml configuration
- Documentation (Sphinx-ready)
- Example scripts
Usage Example
skill:
name: python-sdk-specialist
context:
apiSpec: ./openapi.yaml
pythonVersion: ">=3.8"
asyncSupport: true
typeHints: strict
httpClient: httpx
packageManager: poetry
Best Practices
- Follow PEP 8 style guide
- Use type hints throughout (PEP 484, 585)
- Implement both sync and async interfaces
- Use context managers for connections
- Provide comprehensive docstrings (Google style)
- Support optional dependencies properly
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