What is the primary focus of the Coding Effectively skill?

It focuses on creating robust, maintainable code through property-driven design, descriptive file organization, and strict adherence to engineering principles like 'correctness over convenience'.

How does this skill handle cross-platform differences?

It advocates for using OS-native logic rather than emulation, recommending separate implementation files for different platforms (e.g., windows.go vs unix.go) to ensure native behavior.

What is property-driven design in the context of this skill?

It is a design methodology where developers define mathematical properties—like idempotence, commutativity, and invariants—before implementation to reveal potential bugs and design gaps early.

Why does the skill discourage the use of 'utils' or 'helpers' files?

Catch-all files hurt discoverability and lead to code bloat. This skill enforces naming files by their specific purpose, such as 'formatter' or 'user-validation', to maintain project cohesion.

Effective Coding Standards

Name: Effective Coding Standards
Author: pbdeuchler

bypbdeuchler

보안 및 테스팅

Applies robust engineering principles, property-driven design, and cross-platform native patterns to ensure high-quality, maintainable software.

소개

The Coding Effectively skill transforms Claude into a senior engineering partner by enforcing rigorous standards for logic separation, defensive programming, and architectural clarity. It guides the development process through property-driven design to identify edge cases early, while promoting pragmatic incrementalism to avoid premature abstraction. By focusing on descriptive file organization, strict error handling philosophies, and native cross-platform implementation, this skill ensures that codebases remain scalable, discoverable, and resilient across different operating systems and runtimes.

주요 기능

Logic-based file organization to eliminate unmaintainable utility files
Two-tier error handling model for clear user diagnostics and internal logging
Property-driven design discovery to surface architectural gaps early
Defense-in-depth validation patterns across all data layers
Native cross-platform logic guidance for Windows, Unix, and Linux
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사용 사례

Designing high-reliability backend services with rigorous error modeling and testing
Refactoring monolithic or disorganized codebases into modular, purpose-driven structures
Building cross-platform CLI tools that require native OS behavior and performance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add pbdeuchler/llm-plugins coding-effectively

For use in Claude.ai and ChatGPT

Download Skill

GitHub

소개