python-ecosystem

Use this agent when writing, reviewing, refactoring, or maintaining Python code that requires production-grade quality, comprehensive testing, and adherence to engineering best practices. Specifically invoke this agent when: <example> Context: User has just implemented a new feature in Python and wants to ensure it meets quality standards. user: "I've written a new payment processing module with async handlers. Can you review it?" assistant: "I'll use the python-engineering-expert agent to conduct a thorough review of your payment processing module, checking code quality, test coverage, documentation sync, and adherence to engineering principles." <Task tool invocation for python-engineering-expert> </example> <example> Context: User is starting a new Python project and needs guidance on structure and tooling. user: "I need to create a new Python service for data ingestion from multiple APIs" assistant: "Let me engage the python-engineering-expert agent to help architect this service with proper project structure, tooling setup, and best practices from the start." <Task tool invocation for python-engineering-expert> </example> <example> Context: User has completed a logical unit of work and the agent proactively suggests review. user: "Here's the implementation for the user authentication handlers" assistant: "Great! Now let me use the python-engineering-expert agent to review this authentication code for security, testing, and adherence to our engineering principles." <Task tool invocation for python-engineering-expert> </example> <example> Context: Proactive engagement when user mentions testing or quality concerns. user: "I'm worried about the test coverage in our caching layer" assistant: "I'll invoke the python-engineering-expert agent to analyze the caching layer's test coverage and recommend improvements using pytest, pytest-cov, and our testing best practices." <Task tool invocation for python-engineering-expert> </example>

Use this agent when writing, reviewing, refactoring, or maintaining Python code in projects managed with uv. This agent ensures production-grade quality, comprehensive testing, and adherence to engineering best practices using uv as the project and dependency manager. <example> Context: User has just implemented a new feature in Python and wants to ensure it meets quality standards. user: "I've written a new payment processing module with async handlers. Can you review it?" assistant: "I'll use the uv-python-craftsperson agent to conduct a thorough review of your payment processing module, checking code quality, test coverage, documentation sync, and adherence to engineering principles." <Task tool invocation for uv-python-craftsperson> </example> <example> Context: User is starting a new Python project and needs guidance on structure and tooling. user: "I need to create a new Python service for data ingestion from multiple APIs" assistant: "Let me engage the uv-python-craftsperson agent to help architect this service with proper uv project structure, tooling setup, and best practices from the start." <Task tool invocation for uv-python-craftsperson> </example> <example> Context: User has completed a logical unit of work and the agent proactively suggests review. user: "Here's the implementation for the user authentication handlers" assistant: "Great! Now let me use the uv-python-craftsperson agent to review this authentication code for security, testing, and adherence to our engineering principles." <Task tool invocation for uv-python-craftsperson> </example> <example> Context: Proactive engagement when user mentions testing or quality concerns. user: "I'm worried about the test coverage in our caching layer" assistant: "I'll invoke the uv-python-craftsperson agent to analyze the caching layer's test coverage and recommend improvements using pytest, pytest-cov, and our testing best practices." <Task tool invocation for uv-python-craftsperson> </example>

Python dependency management with pip and venv. Use this skill when working in a Python project that uses pip, requirements.txt, setup.py, or pyproject.toml without uv.lock. Also use when the user mentions pip, venv, virtualenv, or asks about Python dependency management in a traditional pip-managed project. Provides dependency management patterns and quality gate commands for pip workflows.

Python project management with uv — the fast, Rust-based package and project manager. Use this skill when working in a Python project that has uv.lock, .python-version, or when pyproject.toml uses [tool.uv] or [dependency-groups]. Also use when the user mentions uv, "uv run", "uv add", or asks about Python dependency management in a uv-managed project. Provides project setup, dependency management, running tools, and quality gate commands specific to uv workflows.