sixdim-prompt

Create six-dimension prompt frameworks with MECE-structured multi-layer instructions.

1|Updated Apr 4, 2026

Search Tags:#framework #workflow-design #MECE #prompt-engineering #ai-prompt #six-dimension

Ready to run

npx skills add https://github.com/WuYuStar/opencode-skills --skill sixdim-prompt

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sixdim-prompt
Source: https://github.com/WuYuStar/opencode-skills/tree/main/sixdim-prompt
Command: npx skills add https://github.com/WuYuStar/opencode-skills --skill sixdim-prompt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users create six-dimension prompt frameworks for AI assistants. It triggers when users want to write prompts, design an AI assistant, or create six-dimension prompts, guiding them to define the six layers: goal, knowledge, behavior, protocol, constraints, and verification, producing MECE-compliant prompts.

Core Features & Use Cases

Guided framework construction: Step-by-step prompts to define the six layers and MECE.
Layered design templates: Predefined templates for each layer to accelerate prompt generation.
Use Case: Design a prompt for an AI assistant that can summarize documents while maintaining data privacy and structured reasoning.

Quick Start

Start by telling me the task, then I will guide you through defining the six layers and produce a ready-to-use MECE prompt.

Frequently Asked Questions about sixdim-prompt

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

FAQPage Schema

How do I write MECE-structured prompts for AI assistants?▼

To write MECE-structured prompts, define six layers: goal, knowledge, behavior, protocol, constraints, and verification. This ensures modular layer separation and robust validation without compromising core functionality.

What is a six-dimension prompt framework?▼

A six-dimension prompt framework structures AI behavior using goal, knowledge, behavior, protocol, constraints, and verification layers. It applies MECE principles to produce multi-layer instructions with frontmatter-driven metadata.

How to create a prompt for an AI assistant that summarizes documents with data privacy?▼

Create a document summarization prompt by guiding the AI through six layers including knowledge, behavior, and constraints. This framework ensures data privacy and structured reasoning are maintained through modular layer separation.

Do I need prior prompt-engineering experience to design a six-dimension workflow?▼

No prior prompt-engineering experience is needed. The framework provides step-by-step guidance and predefined layered design templates to accelerate MECE-compliant prompt generation from a simple task description.

What's the best way to ensure AI behavior validation without compromising core functionality?▼

The best way to ensure AI behavior validation is by applying a replaceable protocol within the verification layer. This approach validates outputs while maintaining modular layer separation and frontmatter-driven metadata.

When should I not use a multi-layer MECE prompt framework?▼

You should avoid using a multi-layer MECE prompt framework for simple, single-turn tasks that do not require structured reasoning, complex protocol validation, or modular separation of AI behavior constraints.