# tome

> tome — zsembek-tome. Use this tool when you need to organize and make sense of unstructured documents, such as PDFs, scans, and DOCX files, by converting them into a searchable and verifiable Markdown knowledge base. It solves the problem of information silos and inaccessible data, enabling AI agents and LLMs to read, search, and curate knowledge over REST, MCP, and a React Library UI. Ideal for use cases where document management and knowledge retrieval are crucial, such as research, documentation, and data curation.

Canonical page: https://skillsregistry.net/skills/zsembek-tome  
JSON: https://api.skillsregistry.net/v1/skills/zsembek-tome

## Description

Agent-native knowledge OS: turn messy PDFs, scans & DOCX into a verifiable, Markdown knowledge base that LLMs & AI agents read, search and curate — over REST, MCP and a React Library UI.

## Trust

- **Trust score (0–1):** 0.74
- **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/zsembek/tome)

## 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": "zsembek-tome"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zsembek-tome` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zsembek-tome/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