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/.
1.2 KiB
| name | description |
|---|---|
| dgx-spark-comfy-ui | Install and use Comfy UI to generate images — on NVIDIA DGX Spark. Use when setting up comfy-ui on Spark hardware. |
Comfy UI
Install and use Comfy UI to generate images
ComfyUI is an open-source web server application for AI image generation using diffusion-based models like SDXL, Flux, and others. It has a browser-based UI that lets you create, edit, and run image generation and editing workflows with multiple steps. These generation and editing steps (e.g., loading a model, adding text or sampling) are configurable in the UI as a node, and you connect nodes with wires to form a workflow.
ComfyUI uses the host's GPU for inference, so you can install it on your DGX Spark and do all of your image generation and editing directly on your device.
Workflows are saved as JSON files, so you can version them for future work, collaboration, and reproducibility.
Outcome: You'll install and configure ComfyUI on your NVIDIA DGX Spark device so you can use the unified memory to work with large models.
Full playbook: /Users/jkneen/Documents/GitHub/dgx-spark-playbooks/nvidia/comfy-ui/README.md