# Shuck File

> Use this tool when you need to convert binary documents into readable Markdown format for AI processing, solving issues with unstructured data and enabling efficient information extraction. It takes in binary documents and outputs clean Markdown, document maps, or section summaries, depending on file size. Ideal for use cases requiring intelligent search, targeted extraction, and data compression, such as data preprocessing for AI models or content analysis.

Canonical page: https://skillsregistry.net/skills/shan-zhu-shuck-file  
JSON: https://api.skillsregistry.net/v1/skills/shan-zhu-shuck-file

## Description

shuck-file converts binary documents to clean Markdown optimized for AI consumption. Small files output directly as Markdown, while large files return a document map with section summaries, token counts, and extraction options. Supports intelligent search, targeted section extraction, and token-budget compression. Includes MCP server and Claude Code plugin for seamless integration.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/shan-zhu-shuck-file)
- **Repository:** <https://github.com/shan-zhu/shuck-file>

## 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": "shan-zhu-shuck-file"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shan-zhu-shuck-file` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shan-zhu-shuck-file/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