Coordinate Python tooling for building, testing, refactoring, and type-checking workflows.
npx skills add https://github.com/snqb/my-skills --skill python-snqb
Please help me install this Agent Skill. Skill: python Source: https://github.com/snqb/my-skills/tree/main/python Command: npx skills add https://github.com/snqb/my-skills --skill python-snqb
Python development often suffers from fragmentation: tooling, patterns, and configurations change across projects, leading to slow onboarding and inconsistent quality. This Skill consolidates modern Python workflows, tooling, and best practices to streamline coding, testing, and refactoring.
Install the recommended tooling and follow the daily commands to bootstrap and maintain a Python project.
High-intent search queries and answers about installing and using this skill.
To set up modern Python tooling, configure uv for package management, ruff for linting, and pyright for type checking. This consolidates workflows into a consistent suite, streamlining development and onboarding across small to medium Python projects.
Safe Python refactoring workflows use rope and LibCST to automate structural code changes while maintaining syntax validity. Coordinating these tools ensures maintainability and prevents regressions during complex code transformations across your project.
Yes, you can bootstrap a new Python project using provided configuration templates for tests, formatting, and static analysis. Applying these standards from day one establishes a robust tooling suite and consistent daily workflows.
This Python tooling approach is explicitly designed for small to medium projects. It coordinates development tools to improve code quality and maintainability without overwhelming overhead, satisfying requirements for actionable guidance on tool setup.
Consolidating Python tooling into a single workflow solves the problem of fragmentation where changing configurations across projects cause slow onboarding and inconsistent quality. It provides structured guidance for packaging, testing, and design principles.
Configuring uv and ruff involves applying the provided configuration templates to establish standards for static analysis and formatting. This streamlines coding workflows by integrating package management and linting into a unified setup.
DDTullyAutomate Python project setup, dependency management, and profiling with UV.
zhuangfanupupClean Python repository caches, build artifacts, and exposed secrets.
Vasallo94Format, lint, and type check Python projects with Ruff and Pyright.
jorgealvesEnforce Black, Isort, and Flake8 standards across Python projects.
