overthinkos/notebook-templates
ov-layers/skills/notebook-templates/SKILL.md
Starter notebook templates provisioned into the workspace volume at deploy time. First data-only layer in the project — no packages, no services, no dependencies. Use when working with notebook-templates, data layers, or jupyter initial content.
testing
Updated Apr 24, 2026
$ install --global
skillsauthnpx skillsauth add overthinkos/overthink-plugins notebook-templatesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- notebook-templates
- description:
- |
notebook-templates -- Starter notebook data layer
Layer Properties
| Property | Value |
|----------|-------|
| Dependencies | (none) |
| Packages | (none) |
| Services | (none) |
| Volumes | workspace -> ~/workspace |
| Data | data/notebooks -> workspace volume |
| Install files | (none) |
How It Works
This is a data layer — the first of its kind in the project. It uses the data: field in layer.yml to map a directory of files to a named volume:
info: "Starter notebook templates for jupyter"
data:
- src: data/notebooks
volume: workspace
At build time, the contents of data/notebooks/ are staged into /data/workspace/ inside the image.
At deploy time, when the volume is configured as a bind mount (ov config --bind workspace), ov config copies the staged data from the image into the host-backed volume directory. This seeds the volume with starter content (e.g., getting-started.ipynb).
Included Data
| File | Purpose |
|------|---------|
| getting-started.ipynb | Starter notebook for new jupyter deployments |
Usage
# image.yml
jupyter:
layers:
- notebook-templates
# ... other layers
# Deploy with bind-backed workspace volume
ov config jupyter --bind workspace
# Data is copied from image to host volume on first config
ov start jupyter
Used In Images
/ov-images:jupyter/ov-images:jupyter-ml/ov-images:jupyter-ml-notebook
Related Skills
/ov:layer-- data field documentation and layer authoring rules/ov:config-- data provisioning duringov configsetup/ov:deploy-- volume backing configuration (bind, named, encrypted)/ov-layers:jupyter-- the JupyterLab layer that consumes the workspace volume/ov-images:jupyter-- the image that includes this layer
When to Use This Skill
Use when the user asks about:
- The notebook-templates layer or its contents
- Data layers and the
data:field inlayer.yml - How starter content gets provisioned into volumes
- The
getting-started.ipynbnotebook - How
ov configseeds bind-backed volumes with image data
Related
/ov:test— declarative testing (tests:block,ov image test,ov test)
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