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PythonReactSEOPDF
GitHub Skill

backend-models

Define database models and schemas with proper data types, constraints, relationships, and validation rules for PostgreSQL (Supabase/Bun.sql) and Firestore (Firebase). Use this skill when creating or modifying database models, ORM entity definitions, Prisma schemas, or Firestore document structures. Apply when working on model files (models/*.ts, entities/*.ts, schema.prisma, models/*.py, Models/*.cs), defining database relationships, setting up validation rules, or implementing data integrity constraints. This skill ensures snake_case naming for SQL and camelCase for NoSQL, required timestamps (created_at/updated_at), UUIDs for SQL and auto-generated IDs for Firestore, foreign key constraints with indexed columns, Row Level Security (RLS) policies for Supabase, strict Firestore security rules, normalized data for SQL (3NF) with denormalization for Firestore read performance, and pgvector setup for AI embeddings.

TheophilusChinomona☆ 0 Étoiles du dépôt0 Forks du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

Voir la source ↗Guides

Instructions

Fonctions et usage

Define database models and schemas with proper data types, constraints, relationships, and validation rules for PostgreSQL (Supabase/Bun.sql) and Firestore (Firebase). Use this skill when creating or modifying database models, ORM entity definitions, Prisma schemas, or Firestore document structures. Apply when working on model files (models/*.ts, entities/*.ts, schema.prisma, models/*.py, Models/*.cs), defining database relationships, setting up validation rules, or implementing data integrity constraints. This skill ensures snake_case naming for SQL and camelCase for NoSQL, required timestamps (created_at/updated_at), UUIDs for SQL and auto-generated IDs for Firestore, foreign key constraints with indexed columns, Row Level Security (RLS) policies for Supabase, strict Firestore security rules, normalized data for SQL (3NF) with denormalization for Firestore read performance, and pgvector setup for AI embeddings.

Démarrage rapide

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

Guides ↗

Exemples

Consultez les exemples du dépôt source.

Voir la source ↗

Historique source

Date d’indexation
2026-01-20
Mise à jour de l’index
2026-01-26
Branch
main

Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.

GitHub ↗

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