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dgx-spark-playbooks/skills/dgx-spark-spark-reachy-photo-booth/SKILL.md
Jason Kneen a680d0472b feat: scaffold skills plugin from DGX Spark playbooks 
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/.
2026-04-19 10:22:08 +01:00

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name description
dgx-spark-spark-reachy-photo-booth 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.

Spark & Reachy Photo Booth

AI augmented photo booth using the DGX Spark and Reachy Mini.

Teaser

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:

  • A multi-modal agent built with the NeMo Agent Toolkit
  • A ReAct loop driven by the openai/gpt-oss-20b LLM powered by TensorRT-LLM
  • Voice interaction based on nvidia/riva-parakeet-ctc-1.1B and hexgrad/Kokoro-82M
  • Image generation with black-forest-labs/FLUX.1-Kontext-dev for image-to-image restyling

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.

Full playbook: /Users/jkneen/Documents/GitHub/dgx-spark-playbooks/nvidia/spark-reachy-photo-booth/README.md