# genpark-document-layout-table-reconstruction-skill

> genpark-document-layout-table-reconstruction-skill — alphaparkinc-genpark-document-layout-table-reconstruction-skill. Use this tool when you need to reconstruct document layout tables with accuracy and reliability. It solves problems related to table detection, structure analysis, and data extraction, making it ideal for workflows involving document processing and data mining. The skill takes document files as input and outputs reconstructed table data, suitable for use cases such as data migration, document archiving, and information retrieval.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-document-layout-table-reconstruction-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-document-layout-table-reconstruction-skill

## Description

GenPark AI Agent Skill - Distilled capability for reliable agent workflows.

## 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-document-layout-table-reconstruction-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-document-layout-table-reconstruction-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-document-layout-table-reconstruction-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-document-layout-table-reconstruction-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
