ms-lang-python

Provides Python 3.14+ guidance for async FastAPI apps and TDD workflows.

Updated Oct 16, 2025
One-click install
npx skills add https://github.com/beomeodev/specter --skill ms-lang-python
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ms-lang-python
Source: https://github.com/beomeodev/specter/tree/main/.claude/skills/ms-lang-python
Command: npx skills add https://github.com/beomeodev/specter --skill ms-lang-python

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Python development often struggles with maintaining high-quality, fast, and scalable code in modern tooling, especially for async patterns, strict typing, and production-grade APIs.

Core Features & Use Cases

  • Python 3.14+ expertise for building async FastAPI apps with dependency injection, structured logging, and robust type safety.
  • TDD workflow integration with pytest, ruff, mypy, and Pydantic to enable TRUST 5 principle compliance.
  • Guidance for adopting new Python features (PEP 695/701/698, TaskGroup, override decorator) across small to large projects.

Quick Start

Install the Python 3.14+ expert and begin applying best practices for testing, typing, and FastAPI development.

Frequently Asked Questions about ms-lang-python

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up a TDD workflow with pytest and mypy for FastAPI apps?

Set up a TDD workflow with pytest and mypy by applying strict TRUST 5 principles to your FastAPI development. This enforces end-to-end testing, typing conformance, and automated quality gates using ruff and uv across your project.

What's the best way to adopt Python 3.14 typing features like PEP 695 in a large project?

Adopt Python 3.14 typing features like PEP 695 by enforcing strict typing conformance and automated quality gates. This guides integration of new syntax, the override decorator, and TaskGroup across large projects while maintaining code safety.

How do I enforce SLOC limits and complexity caps in a Python codebase?

Enforce SLOC limits and complexity caps by applying comprehensive policies and tooling through ruff and mypy. This ensures strict code quality automation and TAG-based traceability across your Python codebase.

Does this Python expert guidance work with uv for dependency management?

Yes, this Python expert guidance integrates fully with uv for dependency management. It applies strict TRUST 5 principles, typing conformance, and automated quality gates across your uv-managed Python 3.14+ environment.

Why use structured logging and dependency injection in async FastAPI applications?

Use structured logging and dependency injection in async FastAPI applications to ensure robust type safety and production readiness. This approach aligns with strict TRUST 5 principles and comprehensive code quality automation.

Can I apply strict typing conformance to an existing Python codebase?

Yes, you can apply strict typing conformance to an existing Python codebase. The guidance enforces mypy checks, ruff formatting, and automated quality gates to retrofit TRUST 5 principles into current projects.