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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 cont...
---
name: remarkable
description: 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.
---
# 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
---
name: remarkable
description: 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.
---
# 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
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.