create-meta-prompt

Create structured prompts for multi-stage AI workflows in `.prompts/` directories.

7|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/hhellbusch/my-ai-workspace --skill create-meta-prompt-hhellbusch
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: create-meta-prompt
Source: https://github.com/hhellbusch/my-ai-workspace/tree/main/.agents/skills/create-meta-prompt
Command: npx skills add https://github.com/hhellbusch/my-ai-workspace --skill create-meta-prompt-hhellbusch

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the creation of optimized, structured prompts for multi-stage workflows involving research, sparring, planning, and implementation, enabling efficient chaining and dependency management in AI prompt engineering.

Core Features & Use Cases

  • Prompt Generation: Automates the creation of tailored prompts based on purpose and context.
  • Repository Organization: Structures prompts within .prompts/ directories, tracking versions and dependencies.
  • Workflow Automation: Facilitates sequential or parallel execution of prompts with validation, error handling, and archiving.
  • Use Case: Quickly develop a research→spar→plan→implement pipeline for system design, documentation, or code generation, reducing manual prompt writing.

Quick Start

Invoke this Skill to generate a structured research prompt for an API integration task, specifying purpose and topic, then review the generated prompt ready for execution.

Frequently Asked Questions about create-meta-prompt

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

FAQPage Schema
How do I automate multi-stage prompt generation for AI workflows?

Multi-stage prompt generation is automated by creating structured prompts for research, planning, sparring, and implementation phases. This skill organizes prompts within `.prompts/` directories to facilitate sequential or parallel execution with dependency tracking and validation.

What is dependency detection in AI prompt engineering workflows?

Dependency detection in prompt engineering identifies relationships between sequential prompts to ensure proper execution order. This skill automatically tracks dependencies within `.prompts/` directories, enabling validation and error handling across research, planning, and implementation stages.

Can I organize existing prompts into a structured research-to-implementation pipeline?

Existing prompts can be organized into a structured pipeline by referencing artifacts within `.prompts/` directories. This skill structures sequential research, sparring, planning, and implementation prompts with version tracking and validation for automated workflows.

Does multi-stage prompt generation work for software development and document workflows?

Multi-stage prompt generation supports software development, research synthesis, and document workflows. This skill creates tailored prompts for research, sparring, planning, and implementation, enabling efficient chaining and dependency management across these diverse use cases.

How do I validate output structure in automated AI prompt chains?

Output structure validation in automated prompt chains is handled by tracking dependencies and applying error handling within the workflow. This skill validates generated prompts and their outputs, archiving results to maintain integrity across multi-stage execution.