What database systems are supported by this skill?

The skill focuses on database best practices and generates SQL scripts compatible with major RDBMS systems like PostgreSQL and MySQL that support standard partitioning syntax.

Does this skill help with existing data migration?

Yes, it generates the necessary SQL logic and strategies to migrate existing data into newly partitioned structures while maintaining data integrity.

When should I consider using database partitioning?

Partitioning is recommended when tables exceed 100GB, when query performance slows down on large datasets, or when you need to manage time-series data archival.

Can I automate partition maintenance with this skill?

Yes, the skill provides patterns for automating the creation of new partitions and the archival or deletion of old partitions.

How does this improve query performance?

It enables partition pruning, allowing the database engine to only scan the specific data segments relevant to a query instead of the entire table.

Database Partition Manager

Name: Database Partition Manager
Author: intent-solutions-io

byintent-solutions-io

데이터베이스 관리

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

소개

This skill empowers Claude to architect and deploy sophisticated database partitioning schemes—including range, list, and hash partitioning—for tables exceeding 100GB. It analyzes query patterns and data volume to recommend optimal partition keys, generates production-ready SQL migration scripts, and establishes automated data lifecycle management to reduce maintenance windows and improve query efficiency for time-series and high-volume datasets.

주요 기능

Automated strategy design for Range, List, and Hash partitioning
Data lifecycle and archival management automation
Intelligent partition key selection based on query patterns
Generation of production-ready SQL scripts and migration files
Query optimization through partition pruning and index guidance
0 GitHub stars

사용 사례

Managing massive order history tables via regional or status-based list partitioning
Reducing database maintenance windows for tables exceeding 100GB
Optimizing IoT sensor data tables using range-based timestamp partitioning

소개

주요 기능

Automated strategy design for Range, List, and Hash partitioning
Data lifecycle and archival management automation
Intelligent partition key selection based on query patterns
Generation of production-ready SQL scripts and migration files
Query optimization through partition pruning and index guidance
0 GitHub stars

사용 사례

Managing massive order history tables via regional or status-based list partitioning
Reducing database maintenance windows for tables exceeding 100GB
Optimizing IoT sensor data tables using range-based timestamp partitioning