home / skills / jeremylongshore / claude-code-plugins-plus-skills / database-schema-designer

database-schema-designer skill

/skills/06-backend-dev/database-schema-designer

This skill guides database schema designer tasks with step-by-step guidance, production-ready code, and validation against standards.

npx playbooks add skill jeremylongshore/claude-code-plugins-plus-skills --skill database-schema-designer

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SKILL.md
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---
name: "database-schema-designer"
description: |
  Build database schema designer operations. Auto-activating skill for Backend Development.
  Triggers on: database schema designer, database schema designer
  Part of the Backend Development skill category. Use when working with database schema designer functionality. Trigger with phrases like "database schema designer", "database designer", "database".
allowed-tools: "Read, Write, Edit, Bash(cmd:*), Grep"
version: 1.0.0
license: MIT
author: "Jeremy Longshore <[email protected]>"
---

# Database Schema Designer

## Overview

This skill provides automated assistance for database schema designer tasks within the Backend Development domain.

## When to Use

This skill activates automatically when you:
- Mention "database schema designer" in your request
- Ask about database schema designer patterns or best practices
- Need help with backend skills covering node.js, python, go, database design, caching, messaging, and microservices architecture.

## Instructions

1. Provides step-by-step guidance for database schema designer
2. Follows industry best practices and patterns
3. Generates production-ready code and configurations
4. Validates outputs against common standards

## Examples

**Example: Basic Usage**
Request: "Help me with database schema designer"
Result: Provides step-by-step guidance and generates appropriate configurations


## Prerequisites

- Relevant development environment configured
- Access to necessary tools and services
- Basic understanding of backend development concepts


## Output

- Generated configurations and code
- Best practice recommendations
- Validation results


## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |


## Resources

- Official documentation for related tools
- Best practices guides
- Community examples and tutorials

## Related Skills

Part of the **Backend Development** skill category.
Tags: nodejs, python, go, microservices, database

Overview

This skill automates database schema designer operations to help backend developers design, validate, and generate production-ready schemas. It provides step-by-step guidance, code templates, and configuration artifacts for common stacks (Python, Node.js, Go) and architectures like microservices with caching and messaging. Use it to speed schema iteration, enforce best practices, and produce ready-to-deploy artifacts.

How this skill works

The skill inspects your requirements and current model, suggests normalized or domain-driven designs, and generates migration scripts, ORM models, and configuration files. It validates schema choices against common standards, flags potential issues (indexes, constraints, data types), and outputs code snippets and deployment-ready configurations. It integrates patterns for caching, messaging, and service boundaries when relevant.

When to use it

  • Designing or iterating a new database schema for a service
  • Generating ORM models, migration scripts, or SQL DDL from a data model
  • Validating indexes, constraints, and data types for performance and correctness
  • Adapting schema for microservices, caching layers, or messaging integration
  • Converting an existing schema to follow best practices or a new architecture

Best practices

  • Model entities around business domains; prefer clear aggregate boundaries for microservices
  • Define explicit primary keys, foreign keys, and appropriate indexes for query patterns
  • Use migrations for schema changes and keep them small, reversible, and tested
  • Select data types that match storage and query needs; avoid overprecision
  • Add constraints and validation at the database level for critical invariants
  • Consider read patterns first when designing indexes and denormalization

Example use cases

  • Generate PostgreSQL DDL and Alembic migrations from a domain model for a Python service
  • Create TypeORM entities and migration scripts for a Node.js microservice
  • Design a normalized core schema and a denormalized read model for high-read endpoints
  • Suggest indexes and partitioning strategy for large time-series tables
  • Integrate schema changes with a caching strategy and messaging events for eventual consistency

FAQ

What stacks does this skill support?

It targets common backend stacks and languages such as Python (ORMs like SQLAlchemy), Node.js (TypeORM/Sequelize), and Go, plus SQL dialects like PostgreSQL and MySQL.

Will it produce production-ready code?

Yes. It generates production-oriented models, migration scripts, and config files, but you should review and run tests in your environment before deployment.