# genpark-bm25-sparse-lexical-inverted-indexer-skill

> genpark-bm25-sparse-lexical-inverted-indexer-skill — alphaparkinc-genpark-bm25-sparse-lexical-inverted-indexer-skill. Use this tool when you need to efficiently search and rank sparse lexical data, solving problems of information retrieval and document ranking. It takes in textual data and outputs relevance scores, utilizing Okapi BM25 and Robertson-Spärck Jones IDF algorithms. Ideal for use cases requiring hybrid retrieval-augmented generation (RAG) and length normalization.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-bm25-sparse-lexical-inverted-indexer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-bm25-sparse-lexical-inverted-indexer-skill

## Description

GenPark AI Agent Skill - Okapi BM25 sparse lexical search engine, Robertson-Spärck Jones IDF, and length normalization for hybrid RAG.

## Trust

- **Trust score (0–1):** 0.98
- **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-bm25-sparse-lexical-inverted-indexer-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-bm25-sparse-lexical-inverted-indexer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-bm25-sparse-lexical-inverted-indexer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-bm25-sparse-lexical-inverted-indexer-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