coding

Enforce coding standards and best practices across software development tasks.

Updated Jan 30, 2026
One-click install
npx skills add https://github.com/jyang234/ai-engineering-framework --skill coding-jyang234
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: coding
Source: https://github.com/jyang234/ai-engineering-framework/tree/main/edi/internal/assets/skills/coding
Command: npx skills add https://github.com/jyang234/ai-engineering-framework --skill coding-jyang234

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The coding skill provides a comprehensive set of guidelines and best practices to produce clean, maintainable, and high-quality code. It codifies principles to reduce bugs, improve readability, and enable easier collaboration.

Core Features & Use Cases

  • Single Responsibility: Each function, type, and package has one reason to change.
  • Interface-oriented design: Accept interfaces and return concrete types to balance flexibility and clarity.
  • Fail Fast with Clear Errors: Surface meaningful errors early.
  • Code Organization & Documentation: Guidance on project structure, comments, and contracts.
  • Use Case: A developer writes a new module following these principles to keep code cohesive and testable.

Quick Start

Use this skill to guide a new module implementation by following the principles above and ensuring code contracts are documented.

Frequently Asked Questions about coding

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

FAQPage Schema
How do I enforce coding standards across my project?

Enforcing coding standards involves applying consistent guidelines and tooling—like linters, formatters, and test runners—to catch style violations and bugs early. This skill provides best-practice principles for documentation, contracts, and code organization, paired with automated tools such as go fmt, go vet, and staticcheck to maintain quality at scale.

What are the core principles for writing maintainable code?

Maintainable code follows single responsibility (one reason to change per function or type), interface-oriented design (accept interfaces, return concrete types), and fail-fast error handling with clear messages. Combined with proper documentation and code organization, these principles reduce bugs, improve readability, and enable team collaboration.

How should I structure and document code contracts?

Code contracts clarify what a function or module expects and guarantees. Document inputs, outputs, side effects, and error conditions explicitly in comments and type signatures. This skill guides project structure, naming conventions, and documentation practices to make contracts unambiguous and enforce them through tooling and code reviews.

Can I apply these coding standards across multiple programming languages?

Yes. This skill covers language-agnostic best practices—single responsibility, interface design, fail-fast errors, and documentation—applicable across projects. While specific tooling varies by language (go fmt for Go, for example), the underlying principles and code review practices translate across different languages and codebases.

What role do code reviews play in enforcing quality standards?

Code reviews are a key enforcement mechanism for coding standards. They ensure adherence to documentation, contracts, and best practices before code merges. Combined with automated tooling that catches style and correctness issues, reviews catch human judgment calls and reinforce team alignment on quality principles.

Why is fail-fast error handling important for code quality?

Fail-fast error handling surfaces meaningful errors early in execution, preventing cascading failures and making bugs easier to diagnose. Clear, specific error messages guide developers to root causes quickly. This practice, paired with proper error documentation, reduces debugging time and improves system reliability.