Update skill names to reflect to skill rename

Author: merveenoyan

docs/hub/agents-skills.md

@@ -52,16 +52,16 @@ Install via the Cursor plugin flow using the [repository URL](https://github.com
 | Skill | What it does |
 | ----- | ------------ |
 | [`hf-cli`](https://github.com/huggingface/skills/tree/main/skills/hf-cli) | Hub operations via the `hf` CLI: download, upload, manage repos, run jobs |
-| [`hugging-face-datasets`](https://github.com/huggingface/skills/tree/main/skills/hugging-face-datasets) | Create and manage datasets on the Hub |
-| [`hugging-face-dataset-viewer`](https://github.com/huggingface/skills/tree/main/skills/hugging-face-dataset-viewer) | Explore and query any dataset via the Dataset Viewer API |
-| [`hugging-face-model-trainer`](https://github.com/huggingface/skills/tree/main/skills/hugging-face-model-trainer) | Train or fine-tune LLMs with TRL (SFT, DPO, GRPO) on HF Jobs |
-| [`hugging-face-vision-trainer`](https://github.com/huggingface/skills/tree/main/skills/hugging-face-vision-trainer) | Train object detection and image classification models |
-| [`hugging-face-object-detection-trainer`](https://github.com/huggingface/skills/tree/main/skills/hugging-face-object-detection-trainer) | Fine-tune object detection models (RTDETRv2, YOLOS, DETR) |
-| [`hugging-face-evaluation`](https://github.com/huggingface/skills/tree/main/skills/hugging-face-evaluation) | Add and manage evaluation results in model cards |
-| [`hugging-face-jobs`](https://github.com/huggingface/skills/tree/main/skills/hugging-face-jobs) | Run compute jobs on Hugging Face infrastructure |
-| [`hugging-face-trackio`](https://github.com/huggingface/skills/tree/main/skills/hugging-face-trackio) | Track and visualize ML training experiments |
-| [`hugging-face-paper-publisher`](https://github.com/huggingface/skills/tree/main/skills/hugging-face-paper-publisher) | Publish and manage research papers on the Hub |
-| [`hugging-face-tool-builder`](https://github.com/huggingface/skills/tree/main/skills/hugging-face-tool-builder) | Build reusable scripts for HF API operations |
+| [`huggingface-datasets`](https://github.com/huggingface/skills/tree/main/skills/huggingface-datasets) | Create and manage datasets on the Hub |
+| [`huggingface-dataset-viewer`](https://github.com/huggingface/skills/tree/main/skills/huggingface-dataset-viewer) | Explore and query any dataset via the Dataset Viewer API |
+| [`huggingface-model-trainer`](https://github.com/huggingface/skills/tree/main/skills/huggingface-model-trainer) | Train or fine-tune LLMs with TRL (SFT, DPO, GRPO) on HF Jobs |
+| [`huggingface-vision-trainer`](https://github.com/huggingface/skills/tree/main/skills/huggingface-vision-trainer) | Train object detection and image classification models |
+| [`huggingface-object-detection-trainer`](https://github.com/huggingface/skills/tree/main/skills/huggingface-object-detection-trainer) | Fine-tune object detection models (RTDETRv2, YOLOS, DETR) |
+| [`huggingface-evaluation`](https://github.com/huggingface/skills/tree/main/skills/huggingface-evaluation) | Add and manage evaluation results in model cards |
+| [`huggingface-jobs`](https://github.com/huggingface/skills/tree/main/skills/huggingface-jobs) | Run compute jobs on Hugging Face infrastructure |
+| [`huggingface-trackio`](https://github.com/huggingface/skills/tree/main/skills/huggingface-trackio) | Track and visualize ML training experiments |
+| [`huggingface-paper-publisher`](https://github.com/huggingface/skills/tree/main/skills/huggingface-paper-publisher) | Publish and manage research papers on the Hub |
+| [`huggingface-tool-builder`](https://github.com/huggingface/skills/tree/main/skills/huggingface-tool-builder) | Build reusable scripts for HF API operations |
 | [`gradio`](https://github.com/huggingface/skills/tree/main/skills/huggingface-gradio) | Build Gradio web UIs and demos |
 | [`transformers-js`](https://github.com/huggingface/skills/tree/main/skills/transformers.js) | Run ML models in JavaScript/TypeScript with WebGPU/WASM |