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database-schema-designer

Design robust, scalable database schemas for SQL and NoSQL databases.

Skill by digitalspeed

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Design robust, scalable database schemas for SQL and NoSQL databases. Provides normalization guidelines, indexing strategies, migration patterns, constraint design, and performance optimization. Ensures data integrity, query performance, and maintainable data models.

Use cases: design, backend, data

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/database-schema-designer

What's inside

Skill name
database-schema-designer
Description
Design robust, scalable database schemas for SQL and NoSQL databases. Provides normalization guidelines, indexing strategies, migration patterns, constraint design, and performance optimization. Ensures data integrity, query performance, and maintainable data models.
License
MIT
Instructions
683 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • body: 683 lines (spec recommends under 500)

Files (4)

  • README.md
  • SKILL.md
  • migration-template.sql · assets/templates/
  • schema-design-checklist.md · references/

SKILL.md (first lines)

# Database Schema Designer

Design production-ready database schemas with best practices built-in.

---

## Quick Start

Just describe your data model:

```
design a schema for an e-commerce platform with users, products, orders
```

You'll get a complete SQL schema like:

```sql
CREATE TABLE users (
  id BIGINT AUTO_INCREMENT PRIMARY KEY,
  email VARCHAR(255) UNIQUE NOT NULL,
  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

CREATE TABLE orders (
  id BIGINT AUTO_INCREMENT PRIMARY KEY,
  user_id BIGINT NOT NULL REFERENCES users(id),
  total DECIMAL(10,2) NOT NULL,
  INDEX idx_orders_user (user_id)
);
```

**What to include in your request:**
- Entities (users, products, orders)
- Key relationships (users have orders, orders have items)
- Scale hints (high-traffic, millions of records)
- Database preference (SQL/NoSQL) - defaults to SQL if not specified

---

## Triggers

| Trigger | Example |
|---------|---------|
| `design schema` | "design a schema for user authentication" |
| `database design` | "database design for multi-tenant SaaS" |
| `create tables` | "create tables for a blog system" |
| `schema for` | "schema for inventory management" |
| `model data` | "model data for real-time analytics" |
| `I need a database` | "I need a database for tracking orders" |
| `design NoSQL` | "design NoSQL schema for product catalog" |

---

## Key Terms

| Term | Definition |
|------|------------|
| **Normalization** | Organizing data to reduce redundancy (1NF → 2NF → 3NF) |
| **3NF** | Third Normal Form - no transitive dependencies between columns |
| **OLTP** | Online Transaction Processing - write-heavy, needs normalization |
| **OLAP** | Online Analytical Processing - read-heavy, benefits from denormalization |
| **Foreign Key (FK)** | Column that references another table's primary key |
| **Index** | Data structure that speeds up queries (at cost of slower writes) |
| **Access Pattern** | How your app reads/writes data (queries, joins, filters) |
| **Denormalization** | Intentionally duplicating data to speed up reads |

---

## Quick Reference

| Task | Approach | Key Consideration |
|------|----------|-------------------|
| New schema | Normalize to 3NF first | Domain modeling over UI |
| SQL vs NoSQL | Access patterns decide | Read/write ratio matters |
| Primary keys | INT or UUID | UUID for distributed systems |
| Foreign keys | Always constrain | ON DELETE strategy critical |
| Indexes | FKs + WHERE columns | Column order matters |
| Migrations | Always reversible | Backward compatible first |

---

## Process Overview

```
Your Data Requirements
    |
    v
+-----------------------------------------------------+
| Phase 1: ANALYSIS                                   |
| * Identify entities and relationships               |
| * Determine access patterns (read vs write heavy)   |
| * Choose SQL or NoSQL based on requirements         |
+-----------------------------------------------------+
    |
    v
+-----------------------------------------------------+
| Phase 2: DESIGN                                     |
| * Normalize to 3NF (SQL) or embed/reference (NoSQL) |
| * Define primary keys and foreign keys              |
| * Choose appropriate data types                     |
| * Add constraints (UNIQUE, CHECK, NOT NULL)         |
+-----------------------------------------------------+
    |
    v
+-----------------------------------------------------+
| Phase 3: OPTIMIZE                                   |
| * Plan indexing strategy                            |
| * Consider denormalization for read-heavy queries   |
| * Add timestamps (created_at, updated_at)           |
+-----------------------------------------------------+
    |
    v
+-----------------------------------------------------+
| Phase 4: MIGRATE                                    |
| * Generate migration scripts (up + down)            |
| * Ensure backward compatibility                     |
| * Plan zero-downtime deployment                     |
+-----------------------------------------------------+
    |

From digitalspeed/claude-code-skillset, MIT.

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Last commit (this folder)
Apr 17, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

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License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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database-schema-designer skill. Agent Mart. https://agentmart.dev/skills/digitalspeed-database-schema-designer (last updated 2026-10-24)