# Document_Assistant

> Document_Assistant — nandinideshmukh-document-assistant. Use this tool when you need to extract information from PDF documents or answer specific questions about their content. It solves problems of manual document scanning and information retrieval by using Retrieval-Augmented Generation (RAG) to provide accurate and relevant responses. The tool takes PDF uploads and natural language questions as input and returns direct answers to user queries.

Canonical page: https://skillsregistry.net/skills/nandinideshmukh-document-assistant  
JSON: https://api.skillsregistry.net/v1/skills/nandinideshmukh-document-assistant

## Description

Retrieval-Augmented Generation (RAG) based Document Assistant that enables users to upload PDF documents and ask natural language questions about their content.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/nandinideshmukh/Document_Assistant)

## 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": "nandinideshmukh-document-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nandinideshmukh-document-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nandinideshmukh-document-assistant/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