Is this skill limited to specific programming languages?

No, the principles are designed to be language-agnostic and can be effectively applied to OOP, functional, or procedural programming across any tech stack.

What is the coding-principles skill?

It is a specialized set of language-agnostic guidelines that help Claude write cleaner, more maintainable code by following industry best practices for logic, structure, and quality.

How does this skill improve code performance?

It emphasizes a 'measure first' approach, focusing on algorithmic efficiency and proper resource management rather than premature micro-optimizations.

Can I use this for security reviews?

Yes, it includes fundamental security principles such as secret management, input validation, and PII protection to ensure secure coding practices are maintained.

How does it handle function design?

It promotes the single responsibility principle, recommending that functions remain under 50 lines with minimal parameters to ensure they are easy to test and understand.

Coding Principles Guide

Name: Coding Principles Guide
Author: Tahir-yamin

byTahir-yamin

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Productivity & Workflow

Implements language-agnostic best practices to ensure code maintainability, readability, and production-grade quality.

The coding-principles skill provides a comprehensive framework for writing clean, maintainable, and high-quality code across any programming language. It guides Claude to prioritize simplicity, single responsibility, and effective error handling during feature implementation and refactoring. By applying these standardized principles—ranging from optimized function design and dependency management to security and performance considerations—developers can significantly reduce technical debt and improve the long-term health of their codebase. It is particularly useful for establishing consistent quality standards during code reviews and architectural planning.

Key Features

01Robust error handling and secure logging strategies

02Strategic refactoring patterns to eliminate technical debt

03Standardized function design and parameter management guidelines

04Language-agnostic best practices for maintainability and readability

05Modular architecture and loose coupling implementation

063 GitHub stars

Use Cases

01Performing high-quality code reviews based on standardized industry patterns

02Designing new system components with clean architecture principles

03Refactoring legacy codebases to improve structure and readability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tahir-yamin/dev-engineering-playbook coding-principles

For use in Claude.ai and ChatGPT

Download Skill