mirror of
https://github.com/NVIDIA/dgx-spark-playbooks.git
synced 2026-04-25 03:13:53 +00:00
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/.
21 lines
1.2 KiB
Markdown
21 lines
1.2 KiB
Markdown
---
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name: dgx-spark-vscode
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description: Install and use VS Code locally or remotely — on NVIDIA DGX Spark. Use when setting up vscode on Spark hardware.
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---
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<!-- GENERATED:BEGIN from nvidia/vscode/README.md -->
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# VS Code
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> Install and use VS Code locally or remotely
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This walkthrough will help you set up Visual Studio Code, a full-featured IDE with extensions, an integrated terminal, and Git integration, while leveraging your DGX Spark device for development and testing. There are two different approaches for using VS Code:
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* **Direct Installation**: Install the VS Code development environment directly on your ARM64-based Spark system for local development on the target hardware without remote development overhead.
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* **Access with NVIDIA Sync**: Set up NVIDIA Sync to remotely connect to Spark over SSH and configure VS Code as one of your development tools.
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**Outcome**: You will have VS Code set up for development on your DGX Spark device with access to the system's ARM64 architecture and GPU resources. This setup enables direct code development, debugging, and execution.
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**Full playbook**: `/Users/jkneen/Documents/GitHub/dgx-spark-playbooks/nvidia/vscode/README.md`
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<!-- GENERATED:END -->
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