# genpark-hybrid-dense-sparse-bm25-rerank-fusion-skill

> genpark-hybrid-dense-sparse-bm25-rerank-fusion-skill — alphaparkinc-genpark-hybrid-dense-sparse-bm25-rerank-fusion-skill. Use this tool when you need to enhance search results by combining the strengths of dense and sparse retrieval methods, solving problems of information retrieval and ranking accuracy. It takes search queries and document collections as inputs and outputs a reranked list of relevant documents, leveraging BM25 and reciprocal rank fusion algorithms. Ideal for use cases where precise and efficient search result ranking is crucial, such as question answering and document retrieval systems.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-hybrid-dense-sparse-bm25-rerank-fusion-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-hybrid-dense-sparse-bm25-rerank-fusion-skill

## Description

Hybrid dense-sparse BM25 rerank fusion & Reciprocal Rank Fusion

## 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-hybrid-dense-sparse-bm25-rerank-fusion-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-hybrid-dense-sparse-bm25-rerank-fusion-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-hybrid-dense-sparse-bm25-rerank-fusion-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-hybrid-dense-sparse-bm25-rerank-fusion-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