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

> genpark-bm25-sparse-lexical-inverted-indexer-skill — alpha-park-genpark-bm25-sparse-lexical-inverted-indexer-skill. Use this tool when you need to efficiently search and rank sparse lexical data, solving problems related to information retrieval and text search. It takes in text data and outputs ranked search results, utilizing Okapi BM25 and Robertson-Spärck Jones IDF for accurate scoring. Ideal for use cases involving hybrid Retrieval-Augmented Generation (RAG) and large-scale text search applications.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-bm25-sparse-lexical-inverted-indexer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-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/Alpha-Park/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": "alpha-park-genpark-bm25-sparse-lexical-inverted-indexer-skill"
    }
  }
}
```

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