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database-design
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Analyzes user's requests, determines tech stack, plans structure, and coordinates agents.
Apply consistent changes across many files at once. One pattern, many targets.
**MANDATORY:** Use for complex/vague requests, new features, updates.
Reduce AI token usage by **6.8x average** (up to **49x** on monorepos) by giving the AI a structural map of your codebase instead of letting it read everything.
Keep sessions productive by compressing completed work while preserving key decisions.
Advanced multi-agent coordination with parallel dispatch and synthesis. Use for complex tasks requiring multiple specialist perspectives.
| name | database-design |
| description | Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases. |
| when_to_use | When designing database schemas, choosing ORMs, planning migrations, or optimizing queries. When working with Prisma, Drizzle, or SQL files. |
Learn to THINK, not copy SQL patterns.
Read ONLY files relevant to the request! Check the content map, find what you need.
| File | Description | When to Read |
|---|---|---|
database-selection.md | PostgreSQL vs Neon vs Turso vs SQLite | Choosing database |
orm-selection.md | Drizzle vs Prisma vs Kysely | Choosing ORM |
schema-design.md | Normalization, PKs, relationships | Designing schema |
indexing.md | Index types, composite indexes | Performance tuning |
optimization.md | N+1, EXPLAIN ANALYZE | Query optimization |
migrations.md | Safe migrations, serverless DBs | Schema changes |
Before designing schema:
❌ Default to PostgreSQL for simple apps (SQLite may suffice) ❌ Skip indexing ❌ Use SELECT * in production ❌ Store JSON when structured data is better ❌ Ignore N+1 queries