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.

7 stars

Best use case

remarkable is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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.

Teams using remarkable should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/remarkable-tablet/SKILL.md --create-dirs "https://raw.githubusercontent.com/Demerzels-lab/elsamultiskillagent/main/public/skills/coolmanns/remarkable-tablet/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/remarkable-tablet/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How remarkable Compares

Feature / AgentremarkableStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# reMarkable Tablet Integration (rmapi)

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

## Typical Use Cases

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

## Processing Pipeline

```
reMarkable tablet → Cloud sync → rmapi fetch → PDF/PNG
                                                  ↓
                                    ┌─────────────┴─────────────┐
                                    │                           │
                              Text content?               Visual/sketch?
                                    │                           │
                              OCR / interpret            nano-banana-pro
                                    │                     (AI enhance)
                                    │                           │
                              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)
1. User goes to https://my.remarkable.com/connect/desktop
2. Logs in, gets 8-character code
3. Run `rmapi` and enter the code
4. Token saved to `~/.rmapi` — future runs are automatic

## Commands

```bash
# 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"
```

## Sharing Workflows

### Option A: Dedicated Folder
User creates "Shared with Gandalf" folder on reMarkable → moves items there → agent fetches with `rmapi mget`

### Option B: Tag-Based
User tags documents with `share-with-gandalf` → agent discovers with `rmapi find --tag`

### Option C: Starred Items
User stars items → agent fetches with `rmapi find --starred`

## Fetch Script

```bash
# 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 → PNG for image processing
- For text extraction, interpret the handwriting visually (vision model) rather than traditional OCR

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