# DocSlicer

> DocSlicer — docslicer-docslicer. Use this tool when you need to efficiently parse and retrieve specific sections from documents, such as PDF, Word, HTML, and PowerPoint files, without relying on LLM calls or heavy ML models. DocSlicer enables vectorless RAG, allowing LLM clients to inspect outlines and extract relevant information with heading breadcrumbs. Ideal for use cases where document analysis and section retrieval are necessary, such as research, data extraction, or content summarization.

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

## Description

Enables vectorless RAG by letting LLM clients like Claude and Cursor parse documents, inspect outlines, and retrieve specific sections with heading breadcrumbs. Supports PDF, Word, HTML, and PowerPoint without LLM calls or heavy ML models.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g0796w28pg)
- **Repository:** <https://github.com/DocSlicer/DocSlicer>

## 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": "docslicer-docslicer"
    }
  }
}
```

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