What kind of output does the skill provide?

The skill generates implementation artifacts (scripts and config), comprehensive architectural documentation, test results, and monitoring dashboards for observability.

Can I use this to optimize existing large tables?

Yes, the skill includes assessment triggers specifically designed to identify 'optimize large tables' scenarios and suggest the best partitioning approach for existing data.

Which database systems are supported by this skill?

The Database Partition Manager supports major relational and document databases including PostgreSQL, MySQL, and MongoDB using native command-line tools.

How does this skill ensure data safety during partitioning?

It follows a strict 5-step process that includes mandatory backups, non-production environment testing, performance validation against baselines, and the creation of detailed rollback plans.

Does it handle permission and access issues?

Yes, the skill has built-in error handling for permission constraints, network failures, and resource exhaustion, providing guidance on least-privilege access principles.

Database Partition Manager

Name: Database Partition Manager
Author: Brmbobo

byBrmbobo

데이터베이스 관리

Manages database partitioning strategies and execution across PostgreSQL, MySQL, and MongoDB to optimize performance for large datasets.

소개

The Database Partition Manager skill automates the complex lifecycle of table partitioning for enterprise-scale databases. It provides a structured framework for developers to assess table performance, design optimal partitioning strategies (such as range, list, or hash), and execute implementation scripts safely. By guiding users through non-production testing, performance validation, and production deployment with built-in rollback planning, this skill ensures that large-scale data structures remain performant and maintainable without risking data integrity.

주요 기능

Integrated risk mitigation with automated rollback and recovery procedures
Automated partitioning strategy design for SQL and NoSQL databases
Cross-platform support for PostgreSQL, MySQL, and MongoDB environments
Generation of comprehensive documentation, scripts, and monitoring dashboards
Multi-step safety workflow from initial assessment to production deployment
0 GitHub stars

사용 사례

Optimizing query performance for tables containing millions of records
Implementing time-based data archiving through range partitioning
Improving database maintenance windows by isolating data segments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add brmbobo/web2podcast managing-database-partitions

For use in Claude.ai and ChatGPT

Download Skill

GitHub

소개