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Remarkable

Fetch handwritten notes, sketches, and drawings from a reMarkable tablet via Cloud API (rmapi). Process content by refining artwork with AI image generation, extracting handwritten text to memory/journal, or using sketches as input for other workflows. Use when working with reMarkable tablet content, syncing handwritten notes, processing sketches, or integrating tablet drawings into projects.

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High Signal

Fetch handwritten notes, sketches, and drawings from a reMarkable tablet via Cloud API (rmapi). Process content by refining artwork with AI image generation, extracting handwritten text to memory/journal, or using sketches as input for other workflows. Use when working with reMarkable tablet content, syncing handwritten notes, processing sketches, or integrating tablet drawings into projects.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 11 sections Open source page

reMarkable Tablet Integration (rmapi)

Fetch handwritten notes, sketches, and drawings from a reMarkable tablet via Cloud API. Process them โ€” refine artwork with AI image generation, extract text to memory/journal, or use as input for other workflows.

Typical Use Cases

Journal entries โ€” User writes thoughts on reMarkable โ†’ fetch โ†’ OCR/interpret โ†’ append to memory/YYYY-MM-DD.md or a dedicated journal file Sketch refinement โ€” User draws a rough graphic โ†’ fetch โ†’ enhance with nano-banana-pro (AI image editing) โ†’ return polished version Brainstorming/notes โ€” User jots down ideas, lists, diagrams โ†’ fetch โ†’ extract structure โ†’ add to project docs or memory Illustrations โ€” User creates hand-drawn art โ†’ fetch โ†’ optionally stylize โ†’ use in blog posts, social media, etc.

Processing Pipeline

reMarkable tablet โ†’ Cloud sync โ†’ rmapi fetch โ†’ PDF/PNG โ†“ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ โ”‚ Text content? Visual/sketch? โ”‚ โ”‚ OCR / interpret nano-banana-pro โ”‚ (AI enhance) โ”‚ โ”‚ Add to memory/ Return refined journal/project image to user

Setup

Tool: rmapi (ddvk fork) v0.0.32 Binary: ~/bin/rmapi Config: ~/.rmapi (device token after auth) Sync folder: ~/clawd/remarkable-sync/

Authentication (ONE-TIME)

User goes to https://my.remarkable.com/connect/desktop Logs in, gets 8-character code Run rmapi and enter the code Token saved to ~/.rmapi โ€” future runs are automatic

Commands

# List files/folders rmapi ls rmapi ls --json # Navigate rmapi cd "folder name" # Find by tag / starred / regex rmapi find --tag="share-with-gandalf" / rmapi find --starred / rmapi find / ".*sketch.*" # Download (PDF) rmapi get "filename" # Download with annotations rendered (best for sketches) rmapi geta "filename" # Bulk download folder rmapi mget -o ~/clawd/remarkable-sync/ "/Shared with Gandalf"

Option A: Dedicated Folder

User creates "Shared with Gandalf" folder on reMarkable โ†’ moves items there โ†’ agent fetches with rmapi mget

Option B: Tag-Based

User tags documents with share-with-gandalf โ†’ agent discovers with rmapi find --tag

Option C: Starred Items

User stars items โ†’ agent fetches with rmapi find --starred

Fetch Script

# Fetch from shared folder ~/clawd/scripts/remarkable-fetch.sh # Fetch starred items ~/clawd/scripts/remarkable-fetch.sh --starred # Fetch by tag ~/clawd/scripts/remarkable-fetch.sh --tag="share-with-gandalf"

Notes

Tablet must cloud-sync before files are available geta renders annotations into PDF (preferred for handwritten content) Use convert (ImageMagick) to go from PDF โ†’ PNG for image processing For text extraction, interpret the handwriting visually (vision model) rather than traditional OCR

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc