Design and implement Python applications with a planning-first workflow.
npx skills add https://github.com/pytholic/claude-skills --skill python-dev-pytholic
Please help me install this Agent Skill. Skill: python-dev Source: https://github.com/pytholic/claude-skills/tree/main/python-dev Command: npx skills add https://github.com/pytholic/claude-skills --skill python-dev-pytholic
This Skill helps you design, implement, and refine Python software with a planning-first workflow so you avoid fragile architecture, unclear requirements, and rushed implementation.
Ask the assistant to design and implement your Python feature using the planning-first workflow with clear architecture, tests, and verification.
High-intent search queries and answers about installing and using this skill.
To implement a Python feature safely, use a planning-first development workflow that enforces modular design, type hints, and SOLID principles. This approach prevents rushed implementation by requiring clear architecture decisions and structured error handling before writing code.
Refactoring Python code with type hints and pytest improves architecture by enforcing composition-first principles and test-driven verification. Applying protocols and dependency injection ensures your modules remain decoupled and verifiable through edge-case coverage.
The best way to debug Python features systematically is through pytest-focused validation and disciplined error handling. This workflow requires modular design adjustments and edge-case coverage checks before declaring any complex feature implementation complete.
Yes, you can use dependency injection and protocols for Python architecture decisions when building a new service. Choosing between functions, classes, and adapters based on the problem ensures a composition-first design with clean modular package layouts.
You need structured error handling and clean docstrings in Python development whenever building new services or refactoring subsystems. Applying these modern Python implementation standards alongside type hints ensures your codebase remains maintainable and aligned with SOLID principles.
tyk-labCreate an isolated git worktree for feature development with safety checks.
ryanmrManage service containers in Vela CI/CD pipelines for integration testing.
HezziCodeEnforce Python type safety with mypy static type checking.
mcevoyinitAutomate rapid code construction with minimal planning and enforced security rules.
