A bidirectional synchronization tool that connects reMarkable tablets to AI agents for automated note processing and sketch enhancement.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install remarkable-sync
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install remarkable-sync using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is reMarkable Tablet Integration?
The reMarkable tablet integration provides a robust bridge between e-ink hardware and AI-driven environments. By utilizing the rmapi Cloud API, this tool allows Openclaw Skills to fetch handwritten notes, sketches, and diagrams directly from the cloud for advanced processing. Whether you are looking to enhance rough drawings with image-to-image AI or extract structured text from journals, this skill facilitates a complete digital-to-analog feedback loop.
This integration is particularly valuable for developers and creators who want to treat their physical handwriting as a programmable data source. By automating the conversion from proprietary .rm stroke files to standard formats like SVG or PNG, the skill enables AI agents to interpret and respond to handwritten input, ultimately pushing refined PDFs back to the device for a seamless user experience.
reMarkable Tablet Integration Use Cases
- Sketch to AI Loop: Fetch a rough sketch, enhance it with generative AI, and push the polished version back to the tablet.
- Handwritten Journaling: Automatically extract handwritten thoughts to append them to digital memory or journals.
- Brainstorming & Diagrams: Convert handwritten lists and structural diagrams into digital project documentation.
- Document Delivery: Push PDFs or EPUBs to the tablet for offline reading and annotation.
- AI Art Viewing: Generate images using AI and convert them to PDF for high-quality viewing on the e-ink display.
How reMarkable Tablet Integration Works
- The agent uses rmapi to fetch .rmdoc files (ZIP archives) from the reMarkable Cloud.
- The system unzips the archive to access binary .rm stroke files and metadata.
- The rmc tool converts raw stroke data into SVG format, which is then rendered into PNG via cairosvg.
- AI models process the visual data for OCR, text interpretation, or image enhancement.
- The final output is converted into a PDF using the Pillow library.
- The refined document is pushed back to the tablet cloud via rmapi for synchronization.
reMarkable Tablet Integration Setup
1. Install rmapi
Download the latest binary for your architecture:
# Example for Linux
curl -L https://github.com/ddvk/rmapi/releases/latest/download/rmapi-linux-amd64 -o ~/bin/rmapi
chmod +x ~/bin/rmapi
2. Install Dependencies
Ensure you have the necessary Python tools for file conversion:
pip install --user rmc cairosvg pillow
3. Authentication
Connect your account to the Openclaw Skills environment:
- Navigate to https://my.remarkable.com/connect/desktop
- Log in and generate a one-time 8-character code.
- Run
rmapiin your terminal and paste the code when prompted to save the token.
reMarkable Tablet Integration Data Schema & Taxonomy
The skill manages data across several stages of conversion and synchronization:
| Format | Role | Description |
|---|---|---|
| .rmdoc | Source | The native reMarkable ZIP package containing metadata and strokes. |
| .rm | Binary | Proprietary stroke data found inside the .rmdoc archive. |
| SVG | Vector | Intermediate vector format created from raw strokes. |
| PNG | Raster | The standard image format used for AI vision processing (1404x1872 px). |
| PDF/EPUB | Output | The final format required for pushing content back to the tablet. |
Files are organized using the tablet's native folder structure and can be filtered using metadata such as stars or tags.
reMarkable Tablet Integration Advanced Features
- Regex Discovery: Find specific documents using regular expression patterns via rmapi find.
- Tag-Based Automation: Trigger specific AI workflows based on custom tags applied to tablet pages.
- Starred Item Sync: Quickly isolate and process only the items you have marked as important.
- Bulk Operations: Use mget and mput for high-volume synchronization of entire folder structures.
- Multi-Page Handling: Automatically iterate through and convert multi-page notebooks into a single processed document.
SKILL.md
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