mirror of
https://github.com/NVIDIA/dgx-spark-playbooks.git
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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/.
27 lines
1.3 KiB
Markdown
27 lines
1.3 KiB
Markdown
---
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name: dgx-spark-tailscale
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description: 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.
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---
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<!-- GENERATED:BEGIN from nvidia/tailscale/README.md -->
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# Set up Tailscale on Your Spark
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> Use Tailscale to connect to your Spark on your home network no matter where you are
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Tailscale creates an encrypted peer-to-peer mesh network that allows secure access
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to your NVIDIA DGX Spark device from anywhere without complex firewall configurations
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or port forwarding. By installing Tailscale on both your DGX Spark and client devices,
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you establish a private "tailnet" where each device gets a stable private IP
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address and hostname, enabling seamless SSH access whether you're at home, work,
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or a coffee shop.
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**Outcome**: You will set up Tailscale on your DGX Spark device and client machines to
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create secure remote access. After completion, you'll be able to SSH into your
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DGX Spark from anywhere using simple commands like `ssh user@spark-hostname`, with
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all traffic automatically encrypted and NAT traversal handled transparently.
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Duration: 15-30 minutes for initial setup, 5 minutes per additional device
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**Full playbook**: `/Users/jkneen/Documents/GitHub/dgx-spark-playbooks/nvidia/tailscale/README.md`
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<!-- GENERATED:END -->
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