A lightning-fast CLI tool to transform Word documents, PowerPoint presentations, and Excel spreadsheets into clean Markdown format.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install doc2md
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install doc2md using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Doc2MD is a robust document-to-markdown converter powered by the MinerU Open API, designed specifically for developers and AI agents who need to ingest structured content from legacy office formats. It bridges the gap between binary document formats and LLM-friendly text by preserving essential document structures such as tables, headers, and lists.
As a featured part of the Openclaw Skills ecosystem, this tool eliminates the friction of manual data entry or complex parsing logic. It allows users to process DOCX, PPTX, and XLSX files—whether stored locally or hosted at a URL—into formatted Markdown in seconds, all without requiring any authentication or API keys for standard use cases.
mineru-open-api flash-extract command to transmit the file to the MinerU cloud engine.You can install the necessary components for this skill using several package managers. Choose the one that fits your environment:
# Install via npm
npm install -g mineru-open-api
# Install via uv
uv tool install mineru-open-api
# Install via Go (Linux/macOS)
go install github.com/opendatalab/MinerU-Ecosystem/cli/mineru-open-api@latest
Once installed, you can verify the setup by running mineru-open-api flash-extract --help.
The skill focuses on a non-destructive extraction process that maps office components to Markdown elements. The following table describes the mapping taxonomy:
| Source Element | Markdown Output |
|---|---|
| Headers (H1-H6) | Markdown Headers (# to ######) |
| Paragraphs | Standard Text Blocks |
| Tables | GitHub Flavored Markdown (GFM) Tables |
| Lists | Unordered (-) or Ordered (1.) Lists |
| Images | Placeholders (Note: Embedded images are not extracted as files in flash-mode) |
Constraints:
extract command (requires authentication).-o flag to direct converted Markdown files to specific project directories.Loading
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