Individual skill
managing-database-partitions
Process use when you need to work with database partitioning. This skill provides table partitioning strategies with comprehensive guidance and automation. Trigger with phrases like "partition tables", "implement partitioning", or "optimize large tables".
plugins/database/database-partition-manager/skills/managing-database-partitions/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Last checked
- Nov 12, 2026
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- 2,916
- Repository last updated
- Nov 12, 2026
- License
- MIT
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- database Declared skill tag
- database-partitions Declared skill tag
- data Derived category
- data-databases Derived category
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SKILL.mdcore · 7,357 bytesassets/README.mddoc · 206 bytesreferences/README.mddoc · 69 bytesscripts/README.mddoc · 391 bytes
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# Database Partition Manager
## Overview
Implement and manage table partitioning for PostgreSQL and MySQL to improve query performance and simplify data lifecycle management on large tables. This skill covers range partitioning (by date or ID), list partitioning (by category or region), hash partitioning (for even distribution), and composite partitioning.
## Prerequisites
- PostgreSQL 10+ (declarative partitioning) or MySQL 5.7+ (native partitioning)
- Database admin credentials with CREATE TABLE and ALTER TABLE permissions
- `psql` or `mysql` CLI for executing partition DDL
- Table size metrics: `SELECT pg_size_pretty(pg_total_relation_size('table_name'))` or `SELECT data_length FROM information_schema.TABLES`
- Query patterns on the target table (especially WHERE clause columns used for filtering)
- Maintenance window availability for initial partition migration on existing tables
