Why does this skill prefer upstream contributions over forking?

Contributing upstream reduces long-term maintenance burdens and ensures that bug fixes and features benefit the entire ecosystem rather than becoming a private liability.

How does this skill handle Python and Rust interoperability?

It advocates for the PyO3 pattern, where complex or shared logic is written once in Rust and exposed to Python, preventing logic duplication across languages.

Can this skill help me find the right libraries?

Yes, it includes a 'Library Selection Criteria' checklist that evaluates factors like GitHub stars, maintenance activity, license types, and community health.

What are the core principles of the dry-philosophy skill?

The core principles are DRY (Don't Repeat Yourself) and NRtW (Never Reinvent the Wheel), which focus on using existing libraries and shared logic to reduce maintenance.

DRY Development Philosophy

Name: DRY Development Philosophy
Author: elasticdotventures

byelasticdotventures

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Developer Tools

Enforces Don't Repeat Yourself (DRY) and Never Reinvent the Wheel (NRtW) principles to minimize code duplication and maximize library reuse.

The DRY Development Philosophy skill serves as a programmatic architectural guide for Claude, ensuring that every line of code written is novel and necessary. It discourages the creation of custom utilities for functionality that already exists in established libraries and promotes the use of Rust via PyO3 to handle heavy lifting rather than duplicating logic in Python. By prioritizing upstream contributions over private forks and providing a rigorous decision tree for library selection, this skill helps developers maintain a lean, high-performance, and secure codebase with minimal technical debt.

Key Features

01Upstream contribution and patch-forward workflows

02Rust integration guidance using PyO3 bindings

03Library discovery and selection criteria for Python and Rust

04Automated identification of code duplication anti-patterns

0512 GitHub stars

06Dependency quality and security health checks

Use Cases

01Bridging high-performance Rust logic into Python environments

02Evaluating whether to build a custom parser or use an existing library

03Managing third-party library fixes through structured upstream PR workflows

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add elasticdotventures/_b00t_ dry-philosophy

For use in Claude.ai and ChatGPT

Download Skill