Does it work with time-series data like logs or IoT metrics?

Absolutely. It excels at designing time-based range partitions, which are ideal for managing logs, IoT data, and other time-series datasets.

What partitioning strategies does this skill support?

The skill supports range, list, and hash partitioning strategies, helping you choose the best one based on your specific query patterns and data distribution.

Does this skill help with database maintenance?

Yes, it automates the creation of new partitions and the archival of old ones, effectively reducing maintenance windows and preventing performance degradation over time.

How does partitioning improve my database performance?

It enables 'partition pruning,' allowing the database engine to only scan relevant data segments rather than the entire table, which significantly reduces I/O and query time.

Can I use this for existing tables over 100GB?

Yes, the skill is specifically designed to handle large-scale tables, providing migration scripts to transition existing data into partitioned structures safely.

Database Partition Manager

Name: Database Partition Manager
Author: jeremylongshore

byjeremylongshore

•

883

데이터베이스 관리

Automates the design, implementation, and management of table partitioning strategies to optimize database performance for large-scale datasets.

소개

This skill empowers Claude to architect and deploy advanced partitioning schemes for massive datasets exceeding 100GB, effectively addressing bottlenecks in query performance and maintenance windows. It identifies optimal partition keys—whether range, list, or hash—and generates production-ready SQL scripts for migrations and schema updates. Beyond initial setup, the skill provides actionable guidance on partition pruning, index efficiency, and automated data lifecycle management, making it an essential tool for developers managing high-scale time-series, log, or transactional databases.

주요 기능

Automated design of range, list, and hash partitioning strategies
Reduction of maintenance windows for tables exceeding 100GB
Generation of production-grade SQL scripts for table migration
Optimization guidance for partition pruning and index creation
883 GitHub stars
Automated time-series data archival and lifecycle management

사용 사례

Improving query speeds for legacy database tables that have grown too large for single-segment storage
Managing massive order history archives through regional or status-based list partitioning
Optimizing IoT sensor data tables using time-series range partitioning

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills database-partition-manager

For use in Claude.ai and ChatGPT

Download Skill

GitHub

소개