Mode d’emploi
- Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
- Consultez le document original pour les outils, identifiants et environnements requis.
- Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/olsonbd/superpowers-antigravity --skill implementing-schema-orgAvant de commencer
- L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
- Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.
Implementing Schema.org Data Models
Overview
Schema.org is the internet's standard for structured data. Adopting it prevents "bikeshedding" over field names and ensures our data is ready for SEO, AI agents, and external integrations (like calendars) from day one.
Core Principle: If Schema.org has a standard for it, use it. Do not invent your own field names.
When to Use
- Creating a new Collection (e.g., Venues, Events, Users)
- Defining API responses
- Mapping data for export
The Rules
- Strict Naming: Use the exact property name from Schema.org (e.g.,
postalCodenotzip,givenNamenotfirstName). - Preserve Structure: If Schema.org defines a property as a nested Type (like
address->PostalAddress), you MUST nest it. Do not flatten it for convenience. - Use Standard Types: Map your entities to the most specific Schema.org Type available (e.g.,
Event->SocialEventif applicable).
Common Mappings
| Our Concept | Schema.org Type | Key Fields |
|---|---|---|
| Venue | Place | name, address (PostalAddress), geo (GeoCoordinates), publicAccess |
| Event | Event | name, startDate, endDate, location (Place), organizer (Person/Organization) |
| User | Person | givenName, familyName, email, telephone |
Implementation Pattern (Payload CMS)
❌ BAD: Flattened & Ad-Hoc
// Venues.ts
fields: [
{ name: "street", type: "text" }, // Violation: Flattened
{ name: "zip", type: "text" }, // Violation: Wrong name
{ name: "lat", type: "number" }, // Violation: Wrong name & flattened
];✅ GOOD: Nested & Standard
// Venues.ts
fields: [
{
name: "address", // Schema.org property
type: "group", // Preserves structure
fields: [
{ name: "streetAddress", type: "text" },
{ name: "addressLocality", type: "text" }, // City
{ name: "addressRegion", type: "text" }, // State
{ name: "postalCode", type: "text" }, // Zip
{ name: "addressCountry", type: "text" },
],
},
{
name: "geo",
type: "group",
fields: [
{ name: "latitude", type: "number" },
{ name: "longitude", type: "number" },
],
},
];JSON-LD Serialization
When exposing this data via API, simply wrap it to produce valid JSON-LD:
// Example response structure
{
"@context": "https://schema.org",
"@type": "Place",
"name": venue.name,
"address": {
"@type": "PostalAddress",
...venue.address // Spread the nested group directly!
},
"geo": {
"@type": "GeoCoordinates",
...venue.geo
}
}Benefit: Because we preserved the structure in the database, serialization is just a spread operator (...venue.address). No complex mapping code required.
Red Flags - STOP and Fix
- "I'll just call it
zipbecause it's shorter." -> STOP. UsepostalCode. - "Nested groups are annoying to query." -> STOP. Structure matters more than convenience.
- "I'll add a
customField." -> Check Schema.org first. Is there really no standard field?

