SKILL.md
Database Indexing Strategy
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
Overview
Design comprehensive indexing strategies to improve query performance, reduce lock contention, and maintain data integrity. Covers index types, design patterns, and maintenance procedures.
When to Use
- Index creation and planning
- Query performance optimization through indexing
- Index type selection (B-tree, Hash, GiST, BRIN)
- Composite and partial index design
- Index maintenance and monitoring
- Storage optimization with indexes
- Full-text search index design
Quick Start
B-tree Indexes (Default):
-- Standard equality and range queries
CREATE INDEX idx_users_email ON users(email);
CREATE INDEX idx_orders_created_at ON orders(created_at DESC);
-- Composite indexes for multi-column queries
CREATE INDEX idx_orders_user_status
ON orders(user_id, status)
WHERE cancelled_at IS NULL;Reference Guides
Detailed implementations in the references/ directory:
Guide
Contents
PostgreSQL Index Types
MySQL Index Types
Single Column Indexes, Composite Indexes, Partial/Filtered Indexes, Expression Indexes
Best Practices
✅ DO
- Follow established patterns and conventions
- Write clean, maintainable code
- Add appropriate documentation
- Test thoroughly before deploying
❌ DON'T
- Skip testing or validation
- Ignore error handling
- Hard-code configuration values