sanity-io/content-modeling-best-practices
skills/content-modeling-best-practices/SKILL.md
Structured content modeling guidance for schema design, content architecture, content reuse, references versus embedded objects, separation of concerns, and taxonomies across Sanity and other headless CMSes. Use this skill when designing or refactoring content types, deciding field shapes, debating reusable versus nested content, planning omnichannel content models, or reviewing whether a schema is too page-shaped or presentation-driven.
$ install --global
skillsauthnpx skillsauth add sanity-io/agent-toolkit content-modeling-best-practicesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- content-modeling-best-practices
- description:
- Structured content modeling guidance for schema design, content architecture, content reuse, references versus embedded objects, separation of concerns, and taxonomies across Sanity and other headless CMSes. Use this skill when designing or refactoring content types, deciding field shapes, debating reusable versus nested content, planning omnichannel content models, or reviewing whether a schema is too page-shaped or presentation-driven.
Content Modeling Best Practices
Principles for designing structured content that's flexible, reusable, and maintainable. These concepts apply to any headless CMS but include Sanity-specific implementation notes.
When to Apply
Reference these guidelines when:
- Starting a new project and designing the content model
- Evaluating whether content should be structured or free-form
- Deciding between references and embedded content
- Planning for multi-channel content delivery
- Refactoring existing content structures
Core Principles
- Content is data, not pages — Structure content for meaning, not presentation
- Single source of truth — Avoid content duplication
- Future-proof — Design for channels that don't exist yet
- Editor-centric — Optimize for the people creating content
References
Start with the reference that matches the modeling decision in front of you, instead of loading every topic at once. See references/ for detailed guidance on specific topics:
references/separation-of-concerns.md— Separating content from presentationreferences/reference-vs-embedding.md— When to use references vs embedded objectsreferences/content-reuse.md— Content reuse patterns and the reuse spectrumreferences/taxonomy-classification.md— Flat, hierarchical, and faceted classification
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