a680d0472b
Adds a Claude Code plugin structure that exposes each NVIDIA DGX Spark
playbook as a triggerable skill, with an index skill ('dgx-spark') that
routes users to the right leaf based on intent and encodes the
relationship graph between playbooks (prerequisites, alternatives,
composes-with, upgrade paths).
Structure:
- overrides/*.md hand-curated frontmatter + Related sections
- scripts/generate.mjs zero-dep Node generator: nvidia + overrides → skills
- scripts/install.sh symlinks skills into ~/.claude/skills (--plugin mode available)
- skills/ committed, browsable, installable without Node
- .github/workflows/ auto-regenerates skills/ when playbooks/overrides change
Initial curated leaves: ollama, open-webui, vllm, connect-to-your-spark.
Remaining 37 leaves use generator fallback (title + tagline + summary
extracted from README) and can be curated incrementally via overrides/.
1.3 KiB
| name | description |
|---|---|
| dgx-spark-tailscale | Use Tailscale to connect to your Spark on your home network no matter where you are — on NVIDIA DGX Spark. Use when setting up tailscale on Spark hardware. |
Set up Tailscale on Your Spark
Use Tailscale to connect to your Spark on your home network no matter where you are
Tailscale creates an encrypted peer-to-peer mesh network that allows secure access to your NVIDIA DGX Spark device from anywhere without complex firewall configurations or port forwarding. By installing Tailscale on both your DGX Spark and client devices, you establish a private "tailnet" where each device gets a stable private IP address and hostname, enabling seamless SSH access whether you're at home, work, or a coffee shop.
Outcome: You will set up Tailscale on your DGX Spark device and client machines to
create secure remote access. After completion, you'll be able to SSH into your
DGX Spark from anywhere using simple commands like ssh user@spark-hostname, with
all traffic automatically encrypted and NAT traversal handled transparently.
Duration: 15-30 minutes for initial setup, 5 minutes per additional device
Full playbook: /Users/jkneen/Documents/GitHub/dgx-spark-playbooks/nvidia/tailscale/README.md