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slowman2084
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meta-ideal-state

Generate structured ideal_state.md documents defining Agent goals, intents, safety rules, and output templates.

6|Updated Mar 5, 2026
Search Tags:#documentation#rubric#prompt-engineering#agent-design#safety-guidelines#ideal-state#testcase-generation
One-click install
npx skills add https://github.com/slowman2084/meta-agent --skill meta-ideal-state
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: meta-ideal-state
Source: https://github.com/slowman2084/meta-agent/tree/main/source/skills/meta-ideal-state
Command: npx skills add https://github.com/slowman2084/meta-agent --skill meta-ideal-state

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns ambiguous business requirements or prompt drafts into a structured, developer-ready "ideal state" specification that guides prompt engineering, test case creation, and safety constraints for AI Agents.

Core Features & Use Cases

  • Structured Ideal-State Documents: Generates a complete ideal_state.md with overview, intent taxonomy, safety bottom lines, content mappings, output templates, and self-validation checklists.
  • Domain-aware Guidance: Adapts emphasis for high-risk domains (medical, legal, financial) and lists concrete trigger conditions and forced actions.
  • Clarification & Iteration: Produces an initial draft when inputs are incomplete and appends no-more-than-three targeted clarifying questions to enable refinement.
  • Use Case: Product teams can feed a brief business scenario or prompt draft and receive an actionable spec for building and evaluating a production Agent.

Quick Start

Provide a concise business scenario and ask the assistant to "Generate an ideal-state document for this Agent" in plain language.

Frequently Asked Questions about meta-ideal-state

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

FAQPage Schema
How do I generate structured ideal-state documentation from prompt drafts?▼

Generating structured ideal-state documentation from prompt drafts requires feeding a business scenario to produce a Markdown ideal_state.md containing overview, intent hierarchy, safety triggers, and output templates.

What is an ideal-state document for Agent design?▼

An ideal-state document for Agent design defines goals, intent taxonomy, safety bottom lines, and output templates to guide prompt engineering, testcase generation, and reviewer handoffs.

Can I define safety guidelines and forced actions for high-risk domains like medical or financial?▼

Yes, you can define safety guidelines for high-risk domains; the generation adapts emphasis to list concrete trigger conditions and forced actions specific to medical, legal, or financial fields.

How do I create an evaluation rubric and testcases for my AI Agent?▼

To create an evaluation rubric and testcases, apply the generated ideal-state specification to your Agent design workflow, using intent-content mappings and self-validation checklists to plan evaluations.

Do I need complete business requirements to start generating Agent specifications?▼

No, complete business requirements are unnecessary; it produces an initial draft from incomplete inputs and appends up to three targeted clarifying questions to enable iterative refinement.

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