domain-expertise-extractor

Extract implicit knowledge from digital product domains into agent definitions and evaluation criteria.

1|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/kozyszoo/antigravity-handson --skill domain-expertise-extractor-kozyszoo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: domain-expertise-extractor
Source: https://github.com/kozyszoo/antigravity-handson/tree/main/.claude/skills/domain-expertise-extractor
Command: npx skills add https://github.com/kozyszoo/antigravity-handson --skill domain-expertise-extractor-kozyszoo

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill extracts implicit knowledge from digital product domains, verbalizes it, and structures it into reusable agent definitions and evaluation criteria, transforming expert insights into actionable AI assets.

Core Features & Use Cases

  • Knowledge Extraction: Identifies and codifies domain-specific expertise (e.g., UI/UX, marketing, copywriting).
  • Agent Definition Generation: Creates definitions for specialized AI agents based on extracted knowledge.
  • Evaluation Criteria Creation: Develops objective standards for assessing digital products within a domain.
  • Use Case: A product manager needs to define best practices for mobile app onboarding. This Skill can analyze existing successful onboarding flows, extract the underlying principles, and generate both agent definitions for an "onboarding expert" AI and a set of evaluation criteria for new designs.

Quick Start

Use the domain-expertise-extractor skill to extract domain knowledge for 'mobile app onboarding'.

Frequently Asked Questions about domain-expertise-extractor

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

FAQPage Schema
How do I extract implicit domain knowledge for AI product development?

To extract implicit domain knowledge for AI product development, use this Skill to analyze existing successful digital products, verbalize underlying principles, and structure them into reusable agent definitions and evaluation criteria.

What is the best way to create evaluation criteria for UI/UX design from existing products?

The best way to create evaluation criteria for UI/UX design is to analyze existing successful digital product flows, extract the underlying implicit knowledge, and transform those expert insights into objective assessment standards.

Can I generate AI agent definitions from specific domain expertise like copywriting?

Yes, you can generate AI agent definitions from domain expertise like copywriting by analyzing existing successful copy, extracting the implicit knowledge, and structuring it into specialized agent profiles for AI-driven product analysis.

How do I structure implicit marketing knowledge into actionable AI assets?

You can structure implicit marketing knowledge into actionable AI assets by extracting expert insights from successful marketing domains and codifying them into reusable agent definitions and objective evaluation criteria.

Does this domain knowledge extraction approach work for mobile app onboarding analysis?

Yes, this domain knowledge extraction approach works for mobile app onboarding analysis by evaluating existing successful onboarding flows, extracting underlying principles, and generating expert agent definitions and evaluation criteria for new designs.

When do I need to verbalize implicit knowledge for agent definition generation?

You need to verbalize implicit knowledge for agent definition generation when transforming expert domain insights into actionable AI assets, ensuring specialized AI agents have structured, objective standards for assessing digital products.