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/.
24 lines
1.5 KiB
Markdown
24 lines
1.5 KiB
Markdown
---
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name: dgx-spark-spark-reachy-photo-booth
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description: AI augmented photo booth using the DGX Spark and Reachy Mini. — on NVIDIA DGX Spark. Use when setting up spark-reachy-photo-booth on Spark hardware.
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---
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<!-- GENERATED:BEGIN from nvidia/spark-reachy-photo-booth/README.md -->
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# Spark & Reachy Photo Booth
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> AI augmented photo booth using the DGX Spark and Reachy Mini.
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Spark & Reachy Photo Booth is an interactive and event-driven photo booth demo that combines the **DGX Spark™** with the **Reachy Mini** robot to create an engaging multimodal AI experience. The system showcases:
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- **A multi-modal agent** built with the `NeMo Agent Toolkit`
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- **A ReAct loop** driven by the `openai/gpt-oss-20b` LLM powered by `TensorRT-LLM`
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- **Voice interaction** based on `nvidia/riva-parakeet-ctc-1.1B` and `hexgrad/Kokoro-82M`
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- **Image generation** with `black-forest-labs/FLUX.1-Kontext-dev` for image-to-image restyling
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**Outcome**: You'll deploy a complete photo booth system on DGX Spark running multiple inference models locally — LLM, image generation, speech recognition, speech generation, and computer vision — all without cloud dependencies. The Reachy robot interacts with users through natural conversation, captures photos, and generates custom images based on prompts, demonstrating real-time multimodal AI processing on edge hardware.
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**Full playbook**: `/Users/jkneen/Documents/GitHub/dgx-spark-playbooks/nvidia/spark-reachy-photo-booth/README.md`
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<!-- GENERATED:END -->
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