python-project-ops
Standardizes Python project operations using uv for dependency management, testing, and quality control.
Install
mkdir -p .claude/skills/python-project-ops && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/16617" && unzip -o skill.zip -d .claude/skills/python-project-ops && rm skill.zipInstalls to .claude/skills/python-project-ops
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Use this when managing Python dependencies with uv, running tests with pytest, linting with ruff, formatting code, type checking with mypy, or executing notebooks.Key capabilities
- →Manage Python dependencies with uv
- →Run tests with pytest
- →Lint code with ruff
- →Format code with ruff
- →Type check with mypy
How it works
This skill enforces the use of `uv` for dependency management, `pytest` for testing, `ruff` for linting and formatting, and `mypy` for type checking in Python projects.
Inputs & outputs
When to use python-project-ops
- →install or update dependencies with uv
- →run unit tests with pytest
- →lint and format project code
About python-project-ops
Enforces the use of uv for managing dependencies, running pytest, ruff, and mypy. Provides workflows for maintaining code quality and executing notebooks via papermill.
Use this when managing Python dependencies with uv, running tests with pytest, linting with ruff, formatting code, type checking with mypy, or executing notebooks.
When not to use it
- →When using pip, poetry, conda, or pipenv for dependency management
- →When manually creating or editing requirements.txt
Limitations
- →Only `uv` is to be used for dependency management.
- →Python 3.11 is the specified version.
How it compares
This skill standardizes Python project operations to a specific set of tools and workflows, unlike using various alternative tools.
Compared to similar skills
python-project-ops side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| python-project-ops (this skill) | 0 | 4mo | Review | Beginner |
| qa | 0 | 5mo | No flags | Intermediate |
| python-testing-patterns | 77 | 4mo | Review | Intermediate |
| validate-openapi-specs | 5 | 11mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
You might also like
qa
gmaiarviana
> **📌 Carregado por:** Claude Code Web após Dev marcar tasks como concluídas. > **📌 Documentação:** ver [README.md](README.md) para visão geral.
python-testing-patterns
wshobson
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
validate-openapi-specs
epieczko
Validates and registers hook manifest files (YAML) in the Hook Registry for versioned hook management.
pr-review
pytorch
Review PyTorch pull requests for code quality, test coverage, security, and backward compatibility. Use when reviewing PRs, when asked to review code changes, or when the user mentions "review PR", "code review", or "check this PR".
pytest
prowler-cloud
Pytest testing patterns for Python. Trigger: When writing or refactoring pytest tests (fixtures, mocking, parametrize, markers). For Prowler-specific API/SDK testing conventions, also use prowler-test-api or prowler-test-sdk.
code-change-verification
openai
Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents Python repository.