Set up a Python project with a test-driven workflow using uv.
npx skills add https://github.com/gali-leilei/agent-skills-md --skill uv-tdd
Please help me install this Agent Skill. Skill: uv-tdd Source: https://github.com/gali-leilei/agent-skills-md/tree/main/skills/uv-tdd Command: npx skills add https://github.com/gali-leilei/agent-skills-md --skill uv-tdd
Sets up a Python project with a test-driven workflow using uv.
Create a new Python project and initialize it with uv to start test-driven development.
High-intent search queries and answers about installing and using this skill.
Set up a TDD-driven Python project using uv by initializing the project structure, adding pytest as a dev dependency, creating an initial test suite, and configuring Git for version control.
Documentation-driven development in a uv Python project involves maintaining a spec.md file with TODOs and updating the README as development progresses alongside the test suite.
Yes, you need uv installed to initialize the project and manage dependencies. You also need pytest for testing and standard Git for version control work.
Yes, you can add both runtime and dev dependencies like pytest to your uv project. The scaffolding workflow integrates dependency management directly into the test-driven development cycle.
The best way to start test-driven development from scratch is using a scaffolding workflow that initializes a uv project, sets up pytest, creates a basic test suite, and establishes Git version control.
A TDD Python project needs a spec.md file to track TODOs and maintain documentation-driven development, ensuring project goals and progress are recorded as the test suite expands.
Young-ZInitializes a development environment by selecting a Python or Node.js tech stack and scaffolding a standard project structure.
eng-vmessiahEnforce the Red-Green-Refactor cycle with failing tests before code implementation.
simonwCreate Python projects with TDD workflows using the uv package manager.
ewe-studiosBootstrap Python projects with structured directories, environments, and pyproject tooling.
