skill-meta-prompt

Create structured prompts with roles, constraints, and verification steps.

Updated Jun 16, 2026
One-click install
npx skills add https://github.com/burgebj/claudeoctopus --skill skill-meta-prompt-burgebj
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-meta-prompt
Source: https://github.com/burgebj/claudeoctopus/tree/main/.claude/skills/skill-meta-prompt
Command: npx skills add https://github.com/burgebj/claudeoctopus --skill skill-meta-prompt-burgebj

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users overcome vague or ineffective AI instructions by transforming unclear requests into structured, verifiable prompts that improve output quality and reduce hallucinations.

Core Features & Use Cases

  • Prompt Optimization: Refines existing prompts using decomposition, verification, expert assignment, and uncertainty handling techniques.
  • Meta-Prompt Generation: Creates reusable prompt templates for complex tasks with clear roles, instructions, constraints, and output formats.
  • Use Case: A product manager can use this Skill to create a detailed prompt that guides an AI assistant to research, analyze, review, and document a technical product requirement.

Quick Start

Use the skill-meta-prompt skill to create a robust prompt for generating API documentation with verification steps.

Frequently Asked Questions about skill-meta-prompt

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

FAQPage Schema
How do I create optimized prompts that reduce AI hallucinations?

Optimized prompts reduce AI hallucinations by applying structured prompt engineering techniques like task decomposition, expert assignment, and verification steps to transform vague instructions into reliable, verifiable outputs.

What is meta-prompting and how does it improve AI task instructions?

Meta-prompting improves AI task instructions by generating reusable templates that define clear roles, workflows, constraints, and output formats, ensuring AI assistants execute complex tasks reliably.

How do I structure a prompt for complex task decomposition and uncertainty handling?

Structure a prompt for complex task decomposition by assigning expert personas, defining explicit workflows, setting constraints, and adding verification steps to handle uncertainty and validate outputs.

Can I use prompt engineering to create reusable templates for API documentation?

Prompt engineering creates reusable templates for API documentation by embedding clear roles, structured instructions, and verification steps that guide AI to research, analyze, and document technical requirements.

Does prompt optimization work for refining existing AI instructions?

Prompt optimization refines existing AI instructions by applying decomposition, expert assignment, uncertainty handling, and verification techniques to clarify requirements and improve overall output quality.