GitHub Development Standard

Enforces a 9-step AI development workflow with 4-layer validation and acceptance checklist.

1|1|Updated Mar 13, 2026

Search Tags:#workflow #checklist #validation #ai #quality #process

Ready to run

npx skills add https://github.com/SonicBotMan/github-development-standard --skill github-development-standard

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: GitHub Development Standard
Source: https://github.com/SonicBotMan/github-development-standard/tree/main
Command: npx skills add https://github.com/SonicBotMan/github-development-standard --skill github-development-standard

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill enforces a robust engineering standard to prevent quality issues that arise when AI-generated code is produced without a disciplined process.

Core Features & Use Cases

9-step development workflow from issue understanding to final review
4-layer validation system (syntax, import, behavior, regression)
15-item acceptance checklist to gate before shipping
Clear templates, examples, and best practices to grow engineering discipline

Quick Start

Follow the Skill to start applying the 9-step workflow and 4-layer validation, ensuring all checks are completed before release.

Frequently Asked Questions about GitHub Development Standard

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

FAQPage Schema

How do I prevent quality issues in AI-assisted development?▼

To prevent quality issues in AI-assisted development, enforce a structured engineering standard that guides issue understanding, task scoping, coding discipline, and release practices. This approach ensures consistent output quality across teams using AI models of varying capability.

What is a 4-layer validation system for software projects?▼

A 4-layer validation system sequentially checks syntax, imports, behavior, and regression in software projects. It acts as a structured gating mechanism before shipping to ensure AI-generated code meets required behavioral and structural standards.

How do I implement a structured AI coding workflow for my team?▼

Implement a structured AI coding workflow by applying a 9-step process spanning from initial issue understanding to final review. Combine this with a 15-item acceptance checklist to gate releases and systematically grow engineering discipline.

Can I use pre-commit validation scripts with an AI development standard?▼

Yes, you can integrate a lightweight pre-commit validation workflow using optional scripts. This executes automated checks before code is committed, enforcing the development standard early in the engineering cycle.

Do I need frontmatter metadata in SKILL.md for workflow validation?▼

Yes, the specification requires frontmatter-defined metadata, specifically name and description, in SKILL.md. This metadata is mandatory to properly identify and validate the skill within the structured engineering workflow.