Content & Video Skill
AI Influencer Pipeline
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$15
Content Modeling Best Practices
Structured content modeling principles for headless CMS (Sanity, Strapi, Contentful).
Guides the design of structured, reusable content models in headless CMS platforms like Sanity, Strapi, and Contentful, separating content from presentation so the same data can serve web, mobile, and email. It turns ad-hoc page-based schemas into clean, future-proof models with proper references, validation, and editor-friendly fields.
$15 one-time
Add to a kit → Prices include 20% VAT. · Forged on real agency work · one-time, no lock-in
- Type Skill
- Category Content & Video
- Delivery Email · instant
- License One-time
Inside the run · no black box
See the actual work before you buy it.
A schema modeled as pages dies at the first redesign. Modeled as data, with reusable blocks, deliberate references and defensive validations, the same content survives channel changes and migrations untouched.
- Models content as data, not pages: instead of a homepage type with locked-in hero and feature sections, it defines reusable block types (hero, features, cta) composed into a generic page via an array, so every block works on any page or channel.
- Decides reference versus embedded for every relationship: shared data like an author becomes its own document referenced from posts, so one update propagates to 100 posts instead of being copied into each.
- Chooses the taxonomy shape that fits the scope: flat tags, hierarchical categories, or faceted multi-dimensional classification (topic, difficulty, format, duration) when content is filtered along several axes.
- Installs the defensive validations: an async slug uniqueness check against the dataset, a required SEO object with character-limited title and description, and an explicit i18n strategy (document-per-locale or field-level translations).
- Keeps structure separated from presentation: no className, color or fontSize fields in the schema, only semantic fields, so rendering decisions stay in the frontend layer.
- Closes with the verification checklist: every type reusable, no duplication, slugs validated, SEO metadata mandatory, i18n strategy chosen, editor UX optimized with field grouping and preview.
One power source. 6 lines out.
content-modeling-best-practices · core
core active · 6 lines
- ✓ designing a content model
Designing a content model from scratch for a new headless CMS project
- ✓ deciding between embedding
Deciding between embedding data and using references
- ✓ choosing flat, hierarchi…
Choosing flat, hierarchical, or faceted taxonomy for content classification
- ✓ refactoring page-coupled…
Refactoring page-coupled schemas into reusable content blocks
- ✓ planning a wordpress-to-…
Planning a WordPress-to-Sanity migration schema
- ✓ adding seo metadata, slug
Adding SEO metadata, slug uniqueness, and i18n strategy to a model
Yours to keep.
Drag time forward. Watch what stays.
Forever
That's what owning means.
The rented stack
ai writing tool: subscription
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Your forge
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Lets one piece of content power multiple channels without duplication
license: perpetual -
Makes site-wide updates instant by changing referenced data in a single place
license: perpetual -
Reduces editor friction with grouped fields, previews, and clear validation messages
license: perpetual -
Avoids costly breaking migrations through a backward-compatible evolution strategy
license: perpetual
subscriptions expire · deeds don't
Everything in the box.
Pick a piece up. Watch it work.
Core principles: content-as-data, single source of truth, separation of concerns, editor-centric design
6 parts · one working system · ships instantly by email
This wasn't forged for everyone.
- Not for you if you'd rather rent a tool than own one.
- Not for you if you want someone else to run your stack.
- Not for you if you're happy guessing.
Developers and content architects designing or refactoring headless CMS schemas who want a maintainable, multi-channel foundation.
then this was forged for you.Works with
Universal by design: these run in any AI. Delivered in the open Agent Skills + MCP format (native in Claude); ChatGPT, Gemini, Cursor and Copilot adapt the same files their own way.
- Claude Native format
- ChatGPT Adapts via open standards
- Gemini Adapts via open standards
- Cursor Adapts via open standards
- Copilot Adapts via open standards
Catch what's on your mind.
the air is clear. nothing between you and the forge.
catch a spark: the forge will answer
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I am on Contentful. Are the patterns specific to it, or generic theory?
The modeling principles apply across Sanity, Strapi and Contentful, with references, validation and taxonomy choices that map to each. You get concrete schema decisions, not platform-agnostic theory.
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Embed versus reference always turns into 'it depends.' Does it give an actual rule?
It does, tying the choice to reuse and relationship cardinality, so shared, independently-edited data becomes a reference and tightly-owned data gets embedded. You decide by how the content is used, not by feel.
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Will it migrate my existing page-based schema, or only design new models?
It can turn ad-hoc page-based schemas into clean reusable models, so it covers refactors as well as greenfield design. The thinking is structural, while the field-by-field migration in your CMS stays your build step.
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How is it delivered?
By email right after purchase: ready to run, downloaded instantly, no setup wait.
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One-time or subscription?
A one-time purchase; no subscription or hidden fees. VAT (20%) is included.
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Can I get a refund?
As a digital product, it can’t be refunded once downloaded. That’s why we show exactly what’s inside and who it’s for, right here.