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dgx-spark-playbooks/skills/dgx-spark-spark-reachy-photo-booth/SKILL.md

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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 09:22:08 +00:00
---
name: dgx-spark-spark-reachy-photo-booth
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.
---
<!-- GENERATED:BEGIN from nvidia/spark-reachy-photo-booth/README.md -->
# Spark & Reachy Photo Booth
> AI augmented photo booth using the DGX Spark and Reachy Mini.
![Teaser](assets/teaser.jpg)
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.
chore: regenerate skills/ from upstream playbooks [skip ci]
2026-04-19 09:25:00 +00:00
**Full playbook**: `/home/runner/work/dgx-spark-playbooks/dgx-spark-playbooks/nvidia/spark-reachy-photo-booth/README.md`
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 09:22:08 +00:00
<!-- GENERATED:END -->
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