design-metadata-schema

Define Dublin Core-aligned metadata schemas for content assets in JSON-schema, XML, or Markdown with validation rules and mappings.

120|34|Updated May 9, 2025
One-click install
npx skills add https://github.com/dandye/ai-runbooks --skill design-metadata-schema
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: design-metadata-schema
Source: https://github.com/dandye/ai-runbooks/tree/main/skills/design-metadata-schema
Command: npx skills add https://github.com/dandye/ai-runbooks --skill design-metadata-schema

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Design a robust, reusable metadata schema for content management to improve searchability, governance, and interoperability across systems.

Core Features & Use Cases

  • Define structured fields and properties for content assets.
  • Align schemas with Dublin Core and Schema.org where relevant.
  • Use cases include content catalogs, metadata validation, and content-type governance.

Quick Start

Create a reusable metadata schema for content, including field definitions, validation rules, and Dublin Core mappings.

Frequently Asked Questions about design-metadata-schema

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

FAQPage Schema
How do I define a metadata schema for content assets to improve searchability?

To define a metadata schema for content assets, you specify structured field definitions, validation rules, and path-based inputs. This creates a reusable schema that improves content searchability, governance, and interoperability across systems.

Can I align my content metadata schema with Dublin Core and Schema.org?

Yes, you can align your content metadata schema with Dublin Core and Schema.org. The schema design maps your custom field definitions to these established standards, ensuring broad interoperability and standardized content governance.

What formats are supported when generating a content metadata schema?

Content metadata schema generation supports outputs in JSON-schema, XML, and Markdown formats. This allows you to validate metadata structures across different content domains and integrate them with various content management systems.

How do I add validation rules to a reusable metadata schema?

You add validation rules to a reusable metadata schema by specifying field definitions and constraints within the generated JSON-schema or XML output. This enforces content-type governance and ensures metadata consistency across your content catalog.

Does this metadata schema support custom fields and path-based inputs?

Yes, the metadata schema supports optional custom fields and path-based inputs. This allows you to define structured properties tailored to specific content assets while applying the schema across different content domains.

What is the best way to structure content catalogs for metadata governance?

The best way to structure content catalogs for metadata governance is by applying a reusable schema with defined field properties and Dublin Core mappings. This ensures consistent metadata validation and interoperability across your content domains.