# genpark-inverted-file-index-ivf-voronoi-clusterer-skill

> genpark-inverted-file-index-ivf-voronoi-clusterer-skill — alpha-park-genpark-inverted-file-index-ivf-voronoi-clusterer-skill. Use this tool when you need to efficiently cluster large datasets for approximate nearest neighbor (ANN) search, solving scalability issues in similarity searches and vector quantization. It takes in high-dimensional vector data as input and outputs clustered Voronoi cells, enabling fast and accurate ANN queries. Ideal for applications requiring fast and scalable similarity searches, such as image and text retrieval systems.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-inverted-file-index-ivf-voronoi-clusterer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-inverted-file-index-ivf-voronoi-clusterer-skill

## Description

GenPark AI Agent Skill - Inverted File Index (IVF) k-means Voronoi cell clusterer and coarse vector quantizer for scalable ANN search.

## Trust

- **Trust score (0–1):** 0.96
- **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/Alpha-Park/genpark-inverted-file-index-ivf-voronoi-clusterer-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": "alpha-park-genpark-inverted-file-index-ivf-voronoi-clusterer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-inverted-file-index-ivf-voronoi-clusterer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-inverted-file-index-ivf-voronoi-clusterer-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