Database Implementer Skill

Instructions

1. Analyze database requirements from task
2. Review data models and relationships
3. Create database schema/migrations
4. Implement data access layer (models, repositories)
5. Write database queries
6. Add indexes and constraints
7. Return implementation with:
   • Migration files
   • Model definitions
   • Query implementations
   • Index and constraint definitions

Examples

Input: "Create User and Task tables" Output:

-- migrations/001_create_users_tasks.sql
CREATE TABLE users (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    email VARCHAR(255) UNIQUE NOT NULL,
    password_hash VARCHAR(60) NOT NULL,
    name VARCHAR(255),
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

CREATE INDEX idx_users_email ON users(email);

CREATE TABLE tasks (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    title VARCHAR(255) NOT NULL,
    description TEXT,
    status VARCHAR(20) DEFAULT 'todo',
    user_id UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

CREATE INDEX idx_tasks_user_id ON tasks(user_id);
CREATE INDEX idx_tasks_status ON tasks(status);

Database Implementation Areas

• Schema Design: Tables, columns, data types
• Migrations: Versioned schema changes
• Relationships: Foreign keys, joins, associations
• Indexes: Performance optimization indexes
• Constraints: Unique, check, not null constraints
• Queries: CRUD operations, complex queries
• Data Access Layer: Models, repositories, ORM usage
• Optimization: Query optimization, indexing strategy

Best Practices

• Normalization: Proper database normalization
• Indexes: Index foreign keys and frequently queried columns
• Migrations: Versioned, reversible migrations
• Constraints: Use database constraints for data integrity
• Performance: Optimize queries, avoid N+1 problems
• Backup Strategy: Consider backup and recovery