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/.
31 lines
1.9 KiB
Markdown
31 lines
1.9 KiB
Markdown
---
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name: dgx-spark-nemoclaw
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description: Install NemoClaw on DGX Spark with local Ollama inference and Telegram bot integration — on NVIDIA DGX Spark. Use when setting up nemoclaw on Spark hardware.
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---
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<!-- GENERATED:BEGIN from nvidia/nemoclaw/README.md -->
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# NemoClaw with Nemotron 3 Super and Telegram on DGX Spark
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> Install NemoClaw on DGX Spark with local Ollama inference and Telegram bot integration
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**NVIDIA NemoClaw** is an open-source reference stack that simplifies running OpenClaw always-on assistants more safely. It installs the **NVIDIA OpenShell** runtime -- an environment designed for executing agents with additional security -- and open-source models like NVIDIA Nemotron. A single installer command handles Node.js, OpenShell, and the NemoClaw CLI, then walks you through an onboard wizard to create a sandboxed agent on your DGX Spark using Ollama with Nemotron 3 Super.
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By the end of this playbook you will have a working AI agent inside an OpenShell sandbox, accessible via a web dashboard and a Telegram bot, with inference routed to a local Nemotron 3 Super 120B model on your Spark -- all without exposing your host filesystem or network to the agent.
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### What you'll accomplish
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- Configure Docker and the NVIDIA container runtime for OpenShell on DGX Spark
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- Install Ollama, pull Nemotron 3 Super 120B, and configure it for sandbox access
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**Outcome**: - Configure Docker and the NVIDIA container runtime for OpenShell on DGX Spark
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- Install Ollama, pull Nemotron 3 Super 120B, and configure it for sandbox access
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- Install NemoClaw with a single command (handles Node.js, OpenShell, and the CLI)
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- Run the onboard wizard to create a sandbox and configure local inference
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- Chat with the agent via the CLI, TUI, and web UI
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- Set up a Telegram bot that forwards messages to your sandboxed agent
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### Notice and disclaimers
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**Full playbook**: `/Users/jkneen/Documents/GitHub/dgx-spark-playbooks/nvidia/nemoclaw/README.md`
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<!-- GENERATED:END -->
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