design-pack-schema

Define structural schema and metadata requirements for AI-generated design packs.

177|32|Updated May 20, 2026
One-click install
npx skills add https://github.com/epoko77-ai/design-diversity --skill design-pack-schema
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: design-pack-schema
Source: https://github.com/epoko77-ai/design-diversity/tree/main/.claude/skills/design-pack-schema
Command: npx skills add https://github.com/epoko77-ai/design-diversity --skill design-pack-schema

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a single source of truth for design pack specifications, preventing design drift and ensuring that AI-generated assets remain consistent, machine-readable, and high-quality across different design tracks.

Core Features & Use Cases

  • Schema Enforcement: Defines the mandatory structure for design packs, including prompt.md, tokens.json, and meta.yaml.
  • Design Diversity Management: Uses a 5-axis classification system (color, type, layout, space, motion) to ensure unique and varied design outputs.
  • Use Case: When building a new design pack, use this Skill to validate that your tokens and metadata conform to the catalog schema, ensuring seamless integration with the design-diversity catalog site.

Quick Start

Use the design-pack-schema skill to validate the structure and metadata of the current design pack directory.

Frequently Asked Questions about design-pack-schema

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

FAQPage Schema
How do I validate AI-generated design system tokens and metadata for consistency?

To validate AI-generated design system tokens, use this skill to enforce the mandatory file structure of prompt.md, tokens.json, and meta.yaml, ensuring your design packs remain consistent and machine-readable across publishing workflows.

What is a design pack schema and when do I need standardized metadata for design assets?

A design pack schema defines the structural requirements and metadata for AI-generated design assets. You need it when building or publishing design packs to prevent design drift and ensure high-quality, machine-readable outputs across PPT and web tracks.

How do I standardize design outputs using a 5-axis classification system?

Standardize design outputs by applying the 5-axis classification system covering color, type, layout, space, and motion. This schema ensures unique and varied design generations while maintaining strict adherence to the defined token keys.

Can I use this schema validation for both PPT and web design tracks?

Yes, you can use this schema validation for both PPT and web design tracks. The schema applies to the creation, validation, and publishing workflows of design assets across these specific tracks to ensure seamless catalog integration.

What file structure is required for a machine-readable design pack?

A machine-readable design pack requires a strict file structure including prompt.md, tokens.json, and meta.yaml. Adhering to these mandatory files and defined token keys ensures your assets integrate seamlessly with the design-diversity catalog site.

Why does my design pack fail catalog integration without schema standardization?

Your design pack fails catalog integration without schema standardization because of design drift and non-compliant metadata. Validating your tokens against the structural schema ensures machine-readability and seamless publishing workflow integration.