What is the 'fail-fast' philosophy in this skill?

The fail-fast philosophy ensures that the application crashes immediately upon encountering missing configurations or invalid data rather than using silent defaults that could corrupt research results.

How does it handle testing and mocking?

It mandates Test-Driven Development (TDD) using existing infrastructure and real data. It specifically prohibits mocking internal code, allowing mocks only at external system boundaries.

Is this skill suitable for academic research?

Absolutely. It was specifically designed for academic and research contexts where correctness, replicability, and data integrity are the highest priorities.

Does this skill work with standard Python tools?

Yes, it is pre-configured to work seamlessly with industry standards like uv for package management, ruff for linting, and pytest for automated testing.

Python Development Excellence

Name: Python Development Excellence
Author: nicsuzor

bynicsuzor

0•

データサイエンスとML

Builds production-grade, type-safe Python applications for academic and research environments using fail-fast principles.

The Python-Dev skill enforces rigorous standards for software development where correctness and replicability are critical. It streamlines modern workflows using industry-standard tools like uv, ruff, and mypy while mandating a 'fail-fast' philosophy that prevents silent failures from corrupting research data. By prioritizing Test-Driven Development (TDD) against real infrastructure and enforcing strict type safety via Pydantic and type hints, it ensures that Python code remains robust, maintainable, and scientifically sound.

主な機能

01Standardized subagent prompts for automated test and implementation cycles

020 GitHub stars

03Fail-fast philosophy to prevent silent data corruption in research pipelines

04Strict type safety enforcement with mypy and Pydantic validation

05Mandatory TDD patterns utilizing real-world project infrastructure

06Integration with modern toolchains including uv, ruff, and pytest

ユースケース

01Automating feature implementation through reliable, test-driven Claude subagent workflows

02Modernizing legacy Python scripts into production-ready, type-checked packages

03Developing high-stakes academic research software where data integrity is paramount

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nicsuzor/aops-dist python-dev

For use in Claude.ai and ChatGPT

Download Skill