AI Instruction File Standards

Name: AI Instruction File Standards
Availability: InStock
Author: AsiaOstrich

Standardize AI instruction files with universal and project-specific rule separation.

70|13|Updated Dec 24, 2025

Search Tags:#prompt engineering #system prompt #claude.md #copilot #cursorrules #ai instructions

Ready to run

npx skills add https://github.com/AsiaOstrich/universal-dev-standards --skill ai-instruction-file-standards

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: AI Instruction File Standards
Source: https://github.com/AsiaOstrich/universal-dev-standards/tree/main/skills/ai-instruction-standards
Command: npx skills add https://github.com/AsiaOstrich/universal-dev-standards --skill ai-instruction-file-standards

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of creating and maintaining consistent, well-structured AI instruction files across different AI tools, ensuring clarity and effectiveness in AI interactions.

Core Features & Use Cases

Structured File Creation: Guides users in creating AI instruction files with clear separation between universal and project-specific rules.
Multi-Tool Compatibility: Supports instruction file formats for various AI tools like Claude, Cursor, and GitHub Copilot.
Use Case: A development team is onboarding a new AI coding assistant. This Skill helps them create a unified set of instructions that can be adapted for the new tool, ensuring the AI adheres to team coding standards and project-specific workflows.

Quick Start

Create a new AI instruction file for this project, separating universal and project-specific rules.

Frequently Asked Questions about AI Instruction File Standards

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

FAQPage Schema

How do I standardize AI instruction files across multiple coding assistants?▼

AI instruction files standardize AI behavior by defining a clear separation between universal and project-specific rules. This approach maintains team coding standards across multiple platforms like Claude Code, Cursor, and GitHub Copilot.

What is the best way to structure system prompts for AI coding assistants?▼

The best way to structure system prompts is using token-efficient YAML formats. This creates structured prompts and guidelines that clearly separate universal rules from project-specific workflows for your AI coding assistant.

Does this approach support creating a claude.md file and Cursor rules simultaneously?▼

Yes, this approach supports creating instruction files for multiple tools simultaneously. It handles formats for Claude Code, Cursor, Windsurf, Cline, GitHub Copilot, and OpenCode, allowing a unified set to be adapted for each specific tool.

Why separate universal and project-specific rules in AI instructions?▼

Separating universal and project-specific rules in AI instructions ensures consistent AI behavior across different projects while allowing targeted project workflows. This separation maintains clarity and effectiveness in AI interactions without duplicating global coding standards.

How do I onboard a new AI coding assistant to existing team coding standards?▼

To onboard a new AI coding assistant, you create a unified set of instructions separating universal team rules from project-specific workflows. This ensures the AI adheres to your coding standards and can be adapted to the new tool.