# genpark-contextual-compression-filter-skill

> genpark-contextual-compression-filter-skill — alpha-park-genpark-contextual-compression-filter-skill. Use this tool when you need to compress large documents and remove irrelevant information, as it provides a query-guided contextual compression engine that prunes web noise, taking in documents and queries as input and outputting condensed, relevant text. This skill is ideal for applications where noise reduction and information extraction are crucial, such as data mining or research. It integrates with git for version control and collaboration.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-contextual-compression-filter-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-contextual-compression-filter-skill

## Description

Query-guided contextual document compression engine pruning irrelevant web noise

## 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/Alpha-Park/genpark-contextual-compression-filter-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-contextual-compression-filter-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-contextual-compression-filter-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-contextual-compression-filter-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