# genpark-database-partition-hotspot-auto-rebalancer-skill

> genpark-database-partition-hotspot-auto-rebalancer-skill — alphaparkinc-genpark-database-partition-hotspot-auto-rebalancer-skill. Use this tool when you need to automatically rebalance unevenly distributed data in a Citus-style database partition to improve performance and reduce hotspots. It detects and redistributes shard keys to ensure optimal data distribution, solving issues with slow query execution and resource bottlenecks. Ideal for use cases involving large-scale databases with high traffic and variable workloads.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-database-partition-hotspot-auto-rebalancer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-database-partition-hotspot-auto-rebalancer-skill

## Description

Database partition hotspot auto-rebalancer detecting uneven shard keys (Citus style)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-database-partition-hotspot-auto-rebalancer-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alphaparkinc-genpark-database-partition-hotspot-auto-rebalancer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-database-partition-hotspot-auto-rebalancer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-database-partition-hotspot-auto-rebalancer-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt