engineering-postgres-game-schema
Use when designing game database schemas, player data models, inventory systems, or working with Drizzle ORM and PostgreSQL for games. Triggers: database, schema, Drizzle, players, inventory, leaderboards, game data.
Best use case
engineering-postgres-game-schema is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use when designing game database schemas, player data models, inventory systems, or working with Drizzle ORM and PostgreSQL for games. Triggers: database, schema, Drizzle, players, inventory, leaderboards, game data.
Teams using engineering-postgres-game-schema should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/postgres-game-schema/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How engineering-postgres-game-schema Compares
| Feature / Agent | engineering-postgres-game-schema | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use when designing game database schemas, player data models, inventory systems, or working with Drizzle ORM and PostgreSQL for games. Triggers: database, schema, Drizzle, players, inventory, leaderboards, game data.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# PostgreSQL Game Schema
## Purpose
Genre-agnostic database schema design for games using Drizzle ORM + PostgreSQL.
## When to Use
Trigger: database schema, game database, Drizzle schema, players table, inventory, leaderboards, sessions, events, entity system, game data model
## Prerequisites
None — this is a foundational skill.
## Core Principles
> Sid Meier: "A game is a series of interesting decisions."
> Richard Garfield: "The best game systems are elegant rule systems — minimal components that compose into complex behaviors."
1. **Schema must be game-type agnostic** — never assume RPG, MMO, or idle
2. **Use JSONB for extensible data** (stats, properties, metadata)
3. **Timestamps everywhere** (createdAt, updatedAt) for audit trails
4. **Soft deletes over hard deletes** for game data
5. **Enum types for fixed categories** (rarity, status, role)
6. **Composite indexes** for common query patterns
7. **Foreign keys with cascading deletes** where appropriate
8. **Versioned schema migrations** with drizzle-kit
## Step-by-Step Instructions
### 1. Install Dependencies
```bash
bun add drizzle-orm @neondatabase/serverless
bun add -d drizzle-kit
```
### 2. Configure Drizzle
Create `drizzle.config.ts` at the project root. See `boilerplate/migrations.ts` for the full config pattern.
### 3. Define Schemas
Start with the core tables in `boilerplate/schema.ts`. These cover players, sessions, inventory, items, events, leaderboards, achievements, currencies, social relations, guilds, and guild members.
Extend with custom entities using `templates/entity-template.ts`.
### 4. Generate Migrations
```bash
bunx drizzle-kit generate
```
### 5. Run Migrations
```bash
bunx drizzle-kit migrate
```
### 6. Query Data
See `templates/query-patterns.ts` for common query patterns including inventory lookups, leaderboard queries, event aggregation, and JSONB filtering.
## Code Examples
### Player with JSONB stats
```typescript
import { players } from './schema';
await db.insert(players).values({
username: 'player1',
email: 'player1@example.com',
displayName: 'Player One',
stats: { health: 100, speed: 10 },
metadata: { tutorial_completed: true },
});
```
### Flexible item definitions
```typescript
await db.insert(itemDefinitions).values({
name: 'Rare Artifact',
type: 'equipment',
rarity: 'rare',
baseStats: { power: 25, durability: 100 },
metadata: { description: 'A mysterious artifact', tradeable: true },
stackable: false,
});
```
See `boilerplate/schema.ts` for full table definitions and `templates/query-patterns.ts` for advanced queries.
## Cross-References
- `bullmq-game-queues` for async event processing
- `redis-game-patterns` for cached queries
- `betterauth-integration` for auth tables
- `game-economy-design` for economy schemas
## Pitfalls & Anti-Patterns
- **Don't store game state as a single JSON blob** — use normalized tables with JSONB for extensible fields only
- **Don't use auto-increment IDs for player-facing identifiers** — use UUIDs or nanoid to prevent enumeration
- **Don't skip indexes on frequently queried columns** — especially playerId, category, type, and createdAt
- **Don't hardcode genre-specific columns in core tables** — use JSONB metadata instead of adding `swordDamage` or `spellPower` columns
- **Don't use hard deletes** — always soft delete with `deletedAt` timestamps so game history is preserved
- **Don't forget composite indexes** — queries like "player's inventory filtered by type" need `(playerId, type)` indexes
## Designer Philosophy
**Sid Meier:** Schema should enable "interesting decisions" — flexible enough that any game mechanic can be modeled without schema changes. A well-designed JSONB column lets designers iterate on game mechanics without migrations.
**Richard Garfield:** Elegant schemas have minimal tables that compose into complex behaviors. Eleven core tables can model inventory, progression, social, economy, and analytics for any genre.
## Sources
- [Drizzle ORM Documentation](https://orm.drizzle.team)
- [PostgreSQL JSONB Best Practices](https://www.postgresql.org/docs/current/datatype-json.html)
- Game Database Design Patterns (GDC talks on scalable game backends)
- [Neon Serverless PostgreSQL](https://neon.tech/docs)Related Skills
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