Agent skill · software engineering · aiskillstore
database
Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.
Why this skill is useful
Adds specific database design patterns, migration strategies, and optimization techniques that the AI wouldn't reliably generate on its own.
What it needs
About 3k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Database Workflow Bundle Overview Comprehensive database workflow for database design, development, optimization, migrations, and data engineering. Covers SQL, NoSQL, and modern data platforms. When to Use This Workflow Use this workflow when: Designing database schemas Implementing database migrations Optimizing query performance Setting up data pipelines Managing database operations Implementing data quality Workflow Phases Phase 1: Database Design Skills to Invoke database-architect - Database architecture database-design - Schema design postgresql - PostgreSQL design nosql-expert - NoSQL design Actions 1. Gather requirements 2. Design schema 3. Define relationships 4. Plan indexing strategy 5. Design for scalability Copy-Paste Prompts Phase 2: Database Implementation Skills to Invoke prisma-expert - Prisma ORM database-migrations-sql-migrations - SQL migrations neon-postgres - Serverless Postgres Actions 1. Set up database connection 2. Configure ORM 3. Create migrations 4. Implement models 5. Set up seed data Copy-Paste Prompts Phase 3: Query Optimization Skills to Invoke database-optimizer - Database optimization sql-optimization-patterns - SQL optimization postgres-best-practices - PostgreSQL optimization Actions 1. Analyze slow queries 2. Review execution plans 3. Optimize indexes 4. Refactor queries 5. Implement caching Copy-Paste Prompts Phase 4: Data Migration Skills to Invoke database-migration - Database migration framework-migration-code-migrate - Code migration Actions 1. Plan migration strategy 2. Create migration scripts 3. Test migration 4. Execute migration 5. Verify data integrity Copy-Paste Prompts Phase 5: Data Pipeline Development Skills to Invoke data-engineer - Data engineering data-engineering-data-pipeline - Data pipelines airflow-dag-patterns - Airflow workflows dbt-transformation-patterns - dbt transformations Actions 1. Design data pipeline 2. Set up data ingestion 3. Implement transformations 4. Configure scheduling 5. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/database--139a35