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docs(catalog): mark yolo-detection-2026-coral-tpu as Ready
The Coral Edge TPU skill has been hardened with the ai-edge-litert runtime, dynamic model deployment, and robust TPU health watchdog monitoring across all 3 platforms. Updating the catalog status from Testing (🧪) to Ready (✅).
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README.md

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@@ -58,7 +58,7 @@ Each skill is a self-contained module with its own model, parameters, and [commu
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| Category | Skill | What It Does | Status |
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|----------|-------|--------------|:------:|
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| **Detection** | [`yolo-detection-2026`](skills/detection/yolo-detection-2026/) | Real-time 80+ class detection — auto-accelerated via TensorRT / CoreML / OpenVINO / ONNX ||
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| | [`yolo-detection-2026-coral-tpu`](skills/detection/yolo-detection-2026-coral-tpu/) | Google Coral Edge TPU — ~4ms inference via USB accelerator ([LiteRT](#detection--segmentation-skills)) | 🧪 |
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| | [`yolo-detection-2026-coral-tpu`](skills/detection/yolo-detection-2026-coral-tpu/) | Google Coral Edge TPU — ~4ms inference via USB accelerator ([LiteRT](#detection--segmentation-skills)) | |
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| | [`yolo-detection-2026-openvino`](skills/detection/yolo-detection-2026-openvino/) | Intel NCS2 USB / Intel GPU / CPU — multi-device via OpenVINO ([architecture](#detection--segmentation-skills)) | 🧪 |
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| | `face-detection-recognition` | Face detection & recognition — identify known faces from camera feeds | 📐 |
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| | `license-plate-recognition` | License plate detection & recognition — read plate numbers from camera feeds | 📐 |

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