Can it help reduce database storage costs?

Yes, by identifying and helping you remove unused or redundant indexes, you can reclaim storage space and reduce unnecessary disk I/O.

Does it automatically apply changes to my database?

No, it generates a report with actionable recommendations, allowing you to review and assess the impact before applying any changes to your schema.

Do I need special permissions to use this skill?

Yes, the plugin requires read permissions for your database schema and query logs to provide accurate indexing recommendations.

What databases are supported by this skill?

The skill works through the database-index-advisor plugin, which is designed to analyze standard SQL-based relational database workloads.

How does the Database Index Advisor improve performance?

It analyzes specific query patterns to recommend missing indexes that speed up data retrieval and identifies unused indexes that slow down write operations.

Database Index Advisor

Name: Database Index Advisor
Author: intent-solutions-io

byintent-solutions-io

Database Management

Analyzes database query workloads to identify missing indexes and recommend optimizations for peak performance.

About

The Database Index Advisor skill empowers Claude to proactively manage and optimize database health by analyzing query patterns and existing index configurations. It identifies performance bottlenecks caused by missing indexes and flags redundant, unused indexes that waste storage and slow down write operations. By providing actionable, data-driven indexing strategies, this skill helps developers and DBAs maintain high-efficiency databases as application workloads evolve and scale.

Key Features

Automated analysis of database query patterns
Detection of missing indexes to resolve slow queries
Performance impact reporting for read and write operations
Actionable recommendations for indexing strategies
0 GitHub stars
Identification of unused indexes to reclaim storage

Use Cases

Optimizing slow-running SQL queries on large production tables
Pre-emptive indexing analysis for new application features
Cleaning up legacy databases by removing redundant indexes

About

Key Features

Automated analysis of database query patterns
Detection of missing indexes to resolve slow queries
Performance impact reporting for read and write operations
Actionable recommendations for indexing strategies
0 GitHub stars
Identification of unused indexes to reclaim storage

Use Cases

Optimizing slow-running SQL queries on large production tables
Pre-emptive indexing analysis for new application features
Cleaning up legacy databases by removing redundant indexes