diff --git a/.github/workflows/sync-skills.yml b/.github/workflows/sync-skills.yml
index 10d937b5..21f46205 100644
--- a/.github/workflows/sync-skills.yml
+++ b/.github/workflows/sync-skills.yml
@@ -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
@@ -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=""
@@ -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: |
diff --git a/README.md b/README.md
index ab49f8ba..7b2001fc 100644
--- a/README.md
+++ b/README.md
@@ -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 --> |
 
 ---