postgres-schema-design
NewComprehensive PostgreSQL-specific table design reference covering data types, indexing, constraints, performance patterns, and advanced features
Summary
This skill provides a comprehensive reference for PostgreSQL-specific table design, covering data types, indexing strategies, constraints, performance patterns, and advanced features.
- It helps developers create efficient, maintainable database schemas by offering best practices and concrete examples tailored to PostgreSQL.
Install & Usage
~/.claude.jsonAdd the configuration to "mcpServers": { "postgres-schema-design": { "command": "...", "args": [] } }
/mcpUse Cases
Usage Examples
/postgres-schema-design design a normalized schema for a blog platform with users, posts, comments, and tags
What indexing strategy should I use for a table with 10 million rows queried by date range and user ID?
Show me how to partition a sales table by month and create a partial index for active orders only
Security Audits
Frequently Asked Questions
What is postgres-schema-design?
This skill provides a comprehensive reference for PostgreSQL-specific table design, covering data types, indexing strategies, constraints, performance patterns, and advanced features. It helps developers create efficient, maintainable database schemas by offering best practices and concrete examples tailored to PostgreSQL.
How to install postgres-schema-design?
To install postgres-schema-design: open your mcp config (~/.claude.json), then add the config to "mcpServers": { "postgres-schema-design": { "command": "...", "args": [] } }. Finally, /mcp in Claude Code.
What is postgres-schema-design best for?
postgres-schema-design is a mcp categorized under Data & Analytics. It is designed for: design, data-&-analytics, coding. Created by davila7.
What can I use postgres-schema-design for?
postgres-schema-design is useful for: Design a normalized schema for an e-commerce platform with proper foreign keys and check constraints.; Choose the optimal indexing strategy for a high-traffic table with frequent range queries and sorting.; Implement table partitioning for a time-series dataset to improve query performance and manage data retention.; Select appropriate PostgreSQL data types for a geolocation feature, including spatial indexes.; Design a schema that leverages generated columns and partial indexes for a reporting dashboard.; Optimize a slow query by analyzing the table structure and suggesting schema changes like materialized views..