god-prompt

Classify engineering tasks and enforce structured workflows for AI coding assistants.

5|1|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/AKzar1el/god-prompt --skill god-prompt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: god-prompt
Source: https://github.com/AKzar1el/god-prompt/tree/main
Command: npx skills add https://github.com/AKzar1el/god-prompt --skill god-prompt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

GodPrompt replaces individual AI skills with a unified system, eliminating the need to manage multiple skills and ensuring consistent, high-quality output.

Core Features & Use Cases

  • Universal Engineering Skill: Covers all tasks from coding, debugging, content creation, design, deployment, to automation.
  • Auto-Classification: Automatically detects task types and applies the appropriate workflow.
  • Production-Grade Output: Ensures every task is completed with the highest quality and verification.
  • Three Iron Laws: Enforces understanding, scope adherence, and evidence-based claims for every task.

Quick Start

Add the contents of GodPrompt.md to your AI setup instructions or project knowledge base.

Frequently Asked Questions about god-prompt

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

FAQPage Schema
How do I enforce a structured engineering workflow for AI coding assistants?

To enforce a structured engineering workflow for AI coding assistants, you apply a unified system prompt that automatically classifies tasks and mandates scope adherence, ensuring disciplined, production-grade output across various engineering disciplines.

What is the best way to standardize AI output quality across debugging and refactoring tasks?

Standardizing AI output quality across debugging and refactoring tasks requires a unified methodology that enforces understanding, scope adherence, and evidence-based claims, eliminating inconsistent results from managing multiple isolated AI skills.

Do I need Python to set up a system prompt for production-grade AI engineering?

Yes, you need Python installed in your environment to execute this specific engineering methodology, which relies on scripts and reference files to implement detailed protocols and guidelines for your AI assistant.

Can I use a single AI system prompt for both coding and content creation tasks?

Yes, you can use a single AI system prompt for both coding and content creation tasks. The methodology automatically detects the task type and applies the appropriate structured workflow to handle a wide range of disciplines.

How do I stop my AI coding assistant from making unverified claims during refactoring?

To stop your AI coding assistant from making unverified claims during refactoring, implement a system prompt that enforces three iron laws: strict understanding, scope adherence, and evidence-based claims for every task completed.