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Données de départ de la base de données

/SKILL

Génère des scripts de remplissage de base de données avec des exemples de données réalistes. Lit les schémas Drizzle ou les migrations SQL, respecte l'ordre des clés étrangères et produit des

jezwebjezweb
943
11 juin 2026
MIT License
// contenu du skill

name: db-seed

description: "Generate database seed scripts with realistic sample data. Reads Drizzle schemas or SQL migrations, respects foreign key ordering, produces idempotent TypeScript or SQL seed files. Handles D1 batch limits, unique constraints, and domain-appropriate data. Use when populating dev/demo/test databases. Triggers: 'seed database', 'seed data', 'sample data', 'populate database', 'db seed', 'test data', 'demo data', 'generate fixtures'."

allowed-tools:

  • Read
  • Write
  • Edit
  • Glob
  • Grep
  • Bash

compatibility: claude-code-only


Database Seed Generator

Generate seed scripts that populate databases with realistic, domain-appropriate sample data. Reads your schema and produces ready-to-run seed files.

Workflow

1. Find the Schema

Scan the project for schema definitions:

SourceLocation pattern
Drizzle schemasrc/db/schema.ts, src/schema/*.ts, db/schema.ts
D1 migrationsdrizzle/*.sql, migrations/*.sql
Raw SQLschema.sql, db/*.sql
Prismaprisma/schema.prisma

Read all schema files. Build a mental model of:

  • Tables and their columns
  • Data types and constraints (NOT NULL, UNIQUE, DEFAULT)
  • Foreign key relationships (which tables reference which)
  • JSON fields stored as TEXT (common in D1/SQLite)

2. Determine Seed Parameters

Ask the user:

ParameterOptionsDefault
Purposedev, demo, testingdev
Volumesmall (5-10 rows/table), medium (20-50), large (100+)small
Domain context"e-commerce store", "SaaS app", "blog", etc.Infer from schema
Output formatTypeScript (Drizzle), raw SQL, or bothMatch project's ORM

Purpose affects data quality:

  • dev: Varied data, some edge cases (empty fields, long strings, unicode)
  • demo: Polished data that looks good in screenshots and presentations
  • testing: Systematic data covering boundary conditions, duplicates, special characters

3. Plan Insert Order

Build a dependency graph from foreign keys. Insert parent tables before children.

Example order for a blog schema:

1. users        (no dependencies)
2. categories   (no dependencies)
3. posts        (depends on users, categories)
4. comments     (depends on users, posts)
5. tags         (no dependencies)
6. post_tags    (depends on posts, tags)

Circular dependencies: If table A references B and B references A, use nullable foreign keys and insert in two passes (insert with NULL, then UPDATE).

4. Generate Realistic Data

Do NOT use generic placeholders like "test123", "foo@bar.com", or "Lorem ipsum". Generate data that matches the domain.

#### Data Generation Patterns (no external libraries needed)

Names: Use a hardcoded list of common names. Mix genders and cultural backgrounds.

typescript
const firstNames = ['Sarah', 'James', 'Priya', 'Mohammed', 'Emma', 'Wei', 'Carlos', 'Aisha'];
const lastNames = ['Chen', 'Smith', 'Patel', 'Garcia', 'Kim', 'O\'Brien', 'Nguyen', 'Wilson'];

Emails: Derive from names — sarah.chen@example.com. Use example.com domain (RFC 2606 reserved).

Dates: Generate within a realistic range. Use ISO 8601 format for D1/SQLite.

typescript
const randomDate = (daysBack: number) => {
  const d = new Date();
  d.setDate(d.getDate() - Math.floor(Math.random() * daysBack));
  return d.toISOString();
};

IDs: Use crypto.randomUUID() for UUIDs, or sequential integers if the schema uses auto-increment.

Deterministic seeding: For reproducible data, use a seeded PRNG:

typescript
function seededRandom(seed: number) {
  return () => {
    seed = (seed * 16807) % 2147483647;
    return (seed - 1) / 2147483646;
  };
}
const rand = seededRandom(42); // Same seed = same data every time

Prices/amounts: Use realistic ranges. (rand() * 900 + 100).toFixed(2) for $1-$10 range.

Descriptions/content: Write 3-5 realistic variations per content type and cycle through them. Don't generate AI-sounding prose — write like real user data.

5. Output Format

#### TypeScript (Drizzle ORM)

typescript
// scripts/seed.ts
import { drizzle } from 'drizzle-orm/d1';
import * as schema from '../src/db/schema';

export async function seed(db: ReturnType<typeof drizzle>) {
  console.log('Seeding database...');

  // Clear existing data (reverse dependency order)
  await db.delete(schema.comments);
  await db.delete(schema.posts);
  await db.delete(schema.users);

  // Insert users
  const users = [
    { id: crypto.randomUUID(), name: 'Sarah Chen', email: 'sarah@example.com', ... },
    // ...
  ];

  // D1 batch limit: 10 rows per INSERT
  for (let i = 0; i < users.length; i += 10) {
    await db.insert(schema.users).values(users.slice(i, i + 10));
  }

  // Insert posts (references users)
  const posts = [
    { id: crypto.randomUUID(), userId: users[0].id, title: '...', ... },
    // ...
  ];

  for (let i = 0; i < posts.length; i 
// source originale publique
jezweb/claude-skills
/plugins/cloudflare/skills/db-seed/SKILL.md
Licence : MIT License
Projet indépendant, non affilié à Anthropic. Ce skill reste la propriété de son auteur original.
// installer ce skill
Collez cette commande dans votre terminal à la racine de votre projet :
mkdir -p .claude/commands && curl -o ".claude/commands/SKILL.md" "https://raw.githubusercontent.com/jezweb/claude-skills/main/plugins/cloudflare/skills/db-seed/SKILL.md"
Ensuite dans Claude Code, tapez /SKILL pour l'activer.
open_in_newVoir la source originale
// sauvegarder
Sauvegarde disponible après connexion.
loginSe connecter pour sauvegarder
// informations
Créateurjezweb
Étoiles 943
CatégorieBackend
LicenceMIT License
Mis à jour11 juin 2026
Format.md
AccèsGratuit
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