dgx-spark-playbooks/skills/dgx-spark-nccl/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

24 lines
1.1 KiB
Markdown

---
name: dgx-spark-nccl
description: Install and test NCCL on two Sparks — on NVIDIA DGX Spark. Use when setting up nccl on Spark hardware.
---
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# NCCL for Two Sparks
> Install and test NCCL on two Sparks
NCCL (NVIDIA Collective Communication Library) enables high-performance GPU-to-GPU communication
across multiple nodes. This walkthrough sets up NCCL for multi-node distributed training on
DGX Spark systems with Blackwell architecture. You'll configure networking, build NCCL from
source with Blackwell support, and validate communication between nodes.
**Outcome**: You'll have a working multi-node NCCL environment that enables high-bandwidth GPU communication
across DGX Spark systems for distributed training workloads, with validated network performance
and proper GPU topology detection.
Duration: 30 minutes for setup and validation · Risk: Medium - involves network configuration changes
**Full playbook**: `/Users/jkneen/Documents/GitHub/dgx-spark-playbooks/nvidia/nccl/README.md`
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