grey-haven-tdd-python
About
This Claude Skill provides Python Test-Driven Development expertise using pytest and the red-green-refactor methodology. It offers comprehensive testing patterns for FastAPI endpoints and Pydantic models with practical examples and templates. Use it when implementing Python features with TDD, writing pytest tests, or developing with a test-first approach.
Quick Install
Claude Code
Recommended/plugin add https://github.com/greyhaven-ai/claude-code-configgit clone https://github.com/greyhaven-ai/claude-code-config.git ~/.claude/skills/grey-haven-tdd-pythonCopy and paste this command in Claude Code to install this skill
Documentation
TDD Python Skill
Python Test-Driven Development following strict red-green-refactor cycle with pytest and comprehensive coverage.
Description
Systematic Python implementation using TDD methodology, ensuring tests written first and driving design decisions.
What's Included
- Examples: Python TDD cycles, FastAPI TDD, Pydantic model TDD
- Reference: pytest patterns, Python testing best practices
- Templates: pytest templates, TDD workflows
Use When
- Implementing Python features with TDD
- FastAPI development
- Pydantic model development
Related Agents
tdd-python-implementer
Skill Version: 1.0
GitHub Repository
Related Skills
content-collections
MetaThis skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.
creating-opencode-plugins
MetaThis skill provides the structure and API specifications for creating OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It offers implementation patterns for JavaScript/TypeScript modules that intercept and extend the AI assistant's lifecycle. Use it when you need to build event-driven plugins for monitoring, custom handling, or extending OpenCode's capabilities.
evaluating-llms-harness
TestingThis Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.
polymarket
MetaThis skill enables developers to build applications with the Polymarket prediction markets platform, including API integration for trading and market data. It also provides real-time data streaming via WebSocket to monitor live trades and market activity. Use it for implementing trading strategies or creating tools that process live market updates.
