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Merged
sayalinvidia merged 3 commits into from
Apr 28, 2026
Merged

Add per-component Version column to README #32

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ddf787b
Add Version column to README skills table
sayalinvidia Apr 27, 2026
6acbfea
Capture upstream SHA and commit date during sync
sayalinvidia Apr 27, 2026
2f0e909
Patch README version markers after each sync
sayalinvidia Apr 27, 2026
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22 changes: 22 additions & 0 deletions .github/workflows/sync-skills.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -45,6 +45,7 @@ jobs:
truncate -s 0 /tmp/rsynced-components.txt
truncate -s 0 /tmp/changed-components.txt
truncate -s 0 /tmp/failed-components.txt
truncate -s 0 /tmp/sync-versions.txt

# Configure git to use the token via credential helper
# so it never appears in clone URLs or error output
Expand All @@ -69,6 +70,13 @@ jobs:
continue
fi

# Capture upstream HEAD info for the README Version column
upstream_sha=$(git -C "$tmp_dir" rev-parse HEAD)
upstream_short_sha=$(git -C "$tmp_dir" rev-parse --short HEAD)
upstream_date=$(git -C "$tmp_dir" show -s --format=%cs HEAD)
slug=$(echo "$name" | tr 'A-Z ' 'a-z-')
echo "$slug|$upstream_short_sha|$upstream_sha|$upstream_date|$repo" >> /tmp/sync-versions.txt

# Collect all skill paths for sparse checkout
skill_count=$(yq -r ".components[$i].skills | length" components.yml)
sparse_paths=""
Expand Down Expand Up @@ -122,6 +130,20 @@ jobs:
exit 1
fi

- name: Update README version markers
run: |
set -euo pipefail
if [ ! -s /tmp/sync-versions.txt ]; then
echo "No version data captured — skipping README update"
exit 0
fi
while IFS='|' read -r slug short_sha full_sha commit_date repo; do
cell="[\`${short_sha}\`](https://github.com/${repo}/commit/${full_sha}) · ${commit_date}"
# Sed delimiter is | because URLs contain / and cell content has no |
sed -i "s|<!-- sync:${slug}:version -->.*<!-- /sync:${slug}:version -->|<!-- sync:${slug}:version -->${cell}<!-- /sync:${slug}:version -->|" README.md
done < /tmp/sync-versions.txt
echo "README version markers updated for $(wc -l < /tmp/sync-versions.txt) components"

- name: Build sync summary
id: summary
run: |
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26 changes: 13 additions & 13 deletions README.md
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Expand Up @@ -45,19 +45,19 @@ That's it — the skill activates automatically the next time your agent encount

## Available Skills

| Product | Description | Skills | Catalog | Source |
|---------|-------------|:------:|---------|--------|
| **CUDA-Q** | CUDA Quantum — onboarding guide for installation, test programs, GPU simulation, QPU hardware, and quantum applications. | 1 | [`skills/CUDA-Q/`](skills/CUDA-Q) | [Source](https://github.com/NVIDIA/cuda-quantum/tree/main/.claude/skills) |
| **cuOpt** | GPU-accelerated optimization — vehicle routing, linear programming, quadratic programming, installation, server deployment, and developer tools. | 19 | [`skills/cuopt/`](skills/cuopt) | [Source](https://github.com/NVIDIA/cuopt/tree/main/skills) |
| **Megatron-Bridge** | Bridge between NeMo and Megatron — data processing, model conversion, and training utilities. | 9 | [`skills/Megatron-Bridge/`](skills/Megatron-Bridge) | [Source](https://github.com/NVIDIA-NeMo/Megatron-Bridge/tree/main/skills) |
| **Megatron-Core** | Large-scale distributed training — model parallelism, pipeline parallelism, and mixed precision. | 6 | [`skills/Megatron-Core/`](skills/Megatron-Core) | [Source](https://github.com/NVIDIA/Megatron-LM/tree/main/skills) |
| **Model-Optimizer** | Model optimization — quantization, sparsity, and distillation for efficient inference. | 5 | [`skills/Model-Optimizer/`](skills/Model-Optimizer) | [Source](https://github.com/NVIDIA/Model-Optimizer/tree/main/.claude/skills) |
| **NeMo Evaluator** | LLM evaluation — launch evaluations, access MLflow results, NeMo Evaluator Launcher assistant, and bring-your-own benchmarks. | 4 | [`skills/NeMo-Evaluator/`](skills/NeMo-Evaluator) | [Source](https://github.com/NVIDIA-NeMo/Evaluator/tree/main/packages/nemo-evaluator-launcher/.claude/skills) |
| **NeMo Gym** | RL training environments — add benchmarks, resources servers, agent wiring, and reward profiling. | 1 | [`skills/NeMo-Gym/`](skills/NeMo-Gym) | [Source](https://github.com/NVIDIA-NeMo/Gym/tree/main/.claude/skills) |
| **NemoClaw** | Secure agent sandboxing — run OpenClaw inside NVIDIA OpenShell with managed inference, policy management, remote deployment, sandbox monitoring, and contributor/maintainer workflows. | 21 | [`skills/NemoClaw/`](skills/NemoClaw) | [Source](https://github.com/NVIDIA/NemoClaw/tree/main/.agents/skills) |
| **Nemotron Voice Agent** | Real-time conversational AI — deploy speech-to-speech voice agents on Workstation, Jetson Thor, or Cloud NIMs. | 1 | [`skills/nemotron-voice-agent/`](skills/nemotron-voice-agent) | [Source](https://github.com/NVIDIA-AI-Blueprints/nemotron-voice-agent/tree/main/.agents/skills) |
| **RAG Blueprint** | RAG pipeline — deploy, configure, troubleshoot, and manage retrieval augmented generation with Docker Compose or Helm. | 1 | [`skills/rag/`](skills/rag) | [Source](https://github.com/NVIDIA-AI-Blueprints/rag/tree/main/skill-source/.agents/skills) |
| **TensorRT-LLM** | LLM inference optimization — model onboarding, performance analysis and optimization, kernel writing, CI diagnostics, code contribution, and codebase exploration. | 20 | [`skills/TensorRT-LLM/`](skills/TensorRT-LLM) | [Source](https://github.com/NVIDIA/TensorRT-LLM/tree/main/.claude/skills) |
| Product | Description | Skills | Catalog | Source | Version |
|---------|-------------|:------:|---------|--------|---------|
| **CUDA-Q** | CUDA Quantum — onboarding guide for installation, test programs, GPU simulation, QPU hardware, and quantum applications. | 1 | [`skills/CUDA-Q/`](skills/CUDA-Q) | [Source](https://github.com/NVIDIA/cuda-quantum/tree/main/.claude/skills) | <!-- sync:cuda-q:version -->—<!-- /sync:cuda-q:version --> |
| **cuOpt** | GPU-accelerated optimization — vehicle routing, linear programming, quadratic programming, installation, server deployment, and developer tools. | 19 | [`skills/cuopt/`](skills/cuopt) | [Source](https://github.com/NVIDIA/cuopt/tree/main/skills) | <!-- sync:cuopt:version -->—<!-- /sync:cuopt:version --> |
| **Megatron-Bridge** | Bridge between NeMo and Megatron — data processing, model conversion, and training utilities. | 9 | [`skills/Megatron-Bridge/`](skills/Megatron-Bridge) | [Source](https://github.com/NVIDIA-NeMo/Megatron-Bridge/tree/main/skills) | <!-- sync:megatron-bridge:version -->—<!-- /sync:megatron-bridge:version --> |
| **Megatron-Core** | Large-scale distributed training — model parallelism, pipeline parallelism, and mixed precision. | 6 | [`skills/Megatron-Core/`](skills/Megatron-Core) | [Source](https://github.com/NVIDIA/Megatron-LM/tree/main/skills) | <!-- sync:megatron-core:version -->—<!-- /sync:megatron-core:version --> |
| **Model-Optimizer** | Model optimization — quantization, sparsity, and distillation for efficient inference. | 5 | [`skills/Model-Optimizer/`](skills/Model-Optimizer) | [Source](https://github.com/NVIDIA/Model-Optimizer/tree/main/.claude/skills) | <!-- sync:model-optimizer:version -->—<!-- /sync:model-optimizer:version --> |
| **NeMo Evaluator** | LLM evaluation — launch evaluations, access MLflow results, NeMo Evaluator Launcher assistant, and bring-your-own benchmarks. | 4 | [`skills/NeMo-Evaluator/`](skills/NeMo-Evaluator) | [Source](https://github.com/NVIDIA-NeMo/Evaluator/tree/main/packages/nemo-evaluator-launcher/.claude/skills) | <!-- sync:nemo-evaluator:version -->—<!-- /sync:nemo-evaluator:version --> |
| **NeMo Gym** | RL training environments — add benchmarks, resources servers, agent wiring, and reward profiling. | 1 | [`skills/NeMo-Gym/`](skills/NeMo-Gym) | [Source](https://github.com/NVIDIA-NeMo/Gym/tree/main/.claude/skills) | <!-- sync:nemo-gym:version -->—<!-- /sync:nemo-gym:version --> |
| **NemoClaw** | Secure agent sandboxing — run OpenClaw inside NVIDIA OpenShell with managed inference, policy management, remote deployment, sandbox monitoring, and contributor/maintainer workflows. | 21 | [`skills/NemoClaw/`](skills/NemoClaw) | [Source](https://github.com/NVIDIA/NemoClaw/tree/main/.agents/skills) | <!-- sync:nemoclaw:version -->—<!-- /sync:nemoclaw:version --> |
| **Nemotron Voice Agent** | Real-time conversational AI — deploy speech-to-speech voice agents on Workstation, Jetson Thor, or Cloud NIMs. | 1 | [`skills/nemotron-voice-agent/`](skills/nemotron-voice-agent) | [Source](https://github.com/NVIDIA-AI-Blueprints/nemotron-voice-agent/tree/main/.agents/skills) | <!-- sync:nemotron-voice-agent:version -->—<!-- /sync:nemotron-voice-agent:version --> |
| **RAG Blueprint** | RAG pipeline — deploy, configure, troubleshoot, and manage retrieval augmented generation with Docker Compose or Helm. | 1 | [`skills/rag/`](skills/rag) | [Source](https://github.com/NVIDIA-AI-Blueprints/rag/tree/main/skill-source/.agents/skills) | — |
| **TensorRT-LLM** | LLM inference optimization — model onboarding, performance analysis and optimization, kernel writing, CI diagnostics, code contribution, and codebase exploration. | 20 | [`skills/TensorRT-LLM/`](skills/TensorRT-LLM) | [Source](https://github.com/NVIDIA/TensorRT-LLM/tree/main/.claude/skills) | <!-- sync:tensorrt-llm:version -->—<!-- /sync:tensorrt-llm:version --> |

---

Expand Down