What is the Database Skills Discovery skill?

It is a gateway skill for Claude Code that automatically identifies and loads specific database expertise—such as Postgres optimization or Redis data structures—based on your current coding task.

How does progressive loading work?

Instead of loading all database knowledge at once, this gateway skill only loads the specific documentation and best practices required for your current task, saving significant context tokens.

Does it support database migrations?

Yes, it provides dedicated workflows for schema evolution, zero-downtime migrations, and rollback strategies using tools like Alembic, Flyway, and Prisma.

How does this skill help with performance?

It includes specialized sub-skills for query optimization, EXPLAIN plan analysis, and ORM pattern correction to eliminate common performance bottlenecks like N+1 queries.

Which databases are specifically supported?

It provides specialized skills for PostgreSQL, MongoDB, and Redis, while offering general architectural guidance for all SQL and NoSQL systems.

Database Skills Discovery

Name: Database Skills Discovery
Author: rand

byrand

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Database Management

Automatically identifies and loads specialized skills for SQL, NoSQL, schema design, and query optimization within the Claude Code environment.

About

This skill acts as an intelligent gateway for Claude Code, automatically activating whenever database-related tasks are detected in your workflow. It provides a structured, context-efficient entry point to a comprehensive suite of specialized capabilities, ranging from PostgreSQL schema design and migrations to MongoDB document modeling and Redis caching strategies. By utilizing a progressive loading architecture, it ensures Claude has access to deep domain expertise for database architecture decisions, ORM performance tuning, and connection pooling without overwhelming the context window.

Key Features

Progressive loading architecture for high context-window efficiency
Integrated guidance for ORM patterns and connection pool debugging
57 GitHub stars
Deep support for PostgreSQL, MongoDB, and Redis specialized workflows
Decision-support trees for database selection and schema evolution
Automatic activation for SQL, NoSQL, and database architecture tasks

Use Cases

Architecting a new database schema with optimized relationships and data types
Planning and executing zero-downtime database migrations and schema changes
Troubleshooting slow queries through EXPLAIN plan analysis and index optimization

About

Key Features

Progressive loading architecture for high context-window efficiency
Integrated guidance for ORM patterns and connection pool debugging
57 GitHub stars
Deep support for PostgreSQL, MongoDB, and Redis specialized workflows
Decision-support trees for database selection and schema evolution
Automatic activation for SQL, NoSQL, and database architecture tasks

Use Cases

Architecting a new database schema with optimized relationships and data types
Planning and executing zero-downtime database migrations and schema changes
Troubleshooting slow queries through EXPLAIN plan analysis and index optimization