# genpark-tfidf-vectorizer-cosine-similarity-skill

> genpark-tfidf-vectorizer-cosine-similarity-skill — alphaparkinc-genpark-tfidf-vectorizer-cosine-similarity-skill. Use this tool when you need to analyze and compare text data based on semantic similarity, solving problems like duplicate detection, text clustering, and information retrieval. It takes in text inputs and outputs cosine similarity scores, enabling efficient comparison of documents. Ideal for natural language processing tasks, this tool helps uncover hidden relationships between text datasets.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-tfidf-vectorizer-cosine-similarity-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-tfidf-vectorizer-cosine-similarity-skill

## Description

TF-IDF sublinear vectorizer with smooth inverse document frequency and pairwise cosine similarity.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## 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-tfidf-vectorizer-cosine-similarity-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-tfidf-vectorizer-cosine-similarity-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-tfidf-vectorizer-cosine-similarity-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-tfidf-vectorizer-cosine-similarity-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