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Hf Release Notes

Generate Hugging Face Hub (huggingface_hub) release notes from cached PR JSON files. Use when asked to draft release notes from PR files.

Version1.0.0
LicenseMIT
Token count~786
UpdatedJun 5, 2026

Install

Quick install

via npx skills · works with 57+ agents
npx skills add https://github.com/huggingface/huggingface_hub/tree/HEAD/skills/hf-release-notes
Or pick agent:
npx skills add huggingface/huggingface_hub --skill hf-release-notes --agent claude-code
npx skills add huggingface/huggingface_hub --skill hf-release-notes --agent cursor
npx skills add huggingface/huggingface_hub --skill hf-release-notes --agent codex
npx skills add huggingface/huggingface_hub --skill hf-release-notes --agent opencode
npx skills add huggingface/huggingface_hub --skill hf-release-notes --agent github-copilot
npx skills add huggingface/huggingface_hub --skill hf-release-notes --agent windsurf
More install options

Shorthand — useful for multi-skill repos:

npx skills add huggingface/huggingface_hub --skill hf-release-notes

Manual — clone the repo and drop the folder into your agent's skills directory:

git clone https://github.com/huggingface/huggingface_hub.git
cp -r huggingface_hub/skills/hf-release-notes ~/.claude/skills/
How to use: Once installed, ask your agent to "use the hf-release-notes skill" or describe what you want (e.g. "Generate Hugging Face Hub (huggingface_hub) release notes from cached PR JSON fi"). Requires Node.js 18+.

hf-release-notes

Generate Hugging Face Hub (huggingface_hub) release notes from cached PR JSON files. Use when asked to draft release notes from PR files.

hf-release-notesby huggingface

Generate Hugging Face Hub (huggingface_hub) release notes from cached PR JSON files. Use when asked to draft release notes from PR files.

npx skills add https://github.com/huggingface/huggingface_hub --skill hf-release-notesDownload ZIPGitHub

More skills from huggingface

Hugging Face Cliby huggingfaceExecute Hugging Face Hub operations using the hf CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.Hugging Face Datasetsby huggingfaceCreate and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.Hugging Face Evaluationby huggingfaceAdd and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.Hugging Face Jobsby huggingfaceRun any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks.Hugging Face Model Trainerby huggingfaceTrain or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on dataset preparation, hardware selection, cost estimation, and model persistence.Hugging Face Paper Publisherby huggingfacePublish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.Hugging Face Tool Builderby huggingfaceBuild reusable scripts and tools using the Hugging Face API. Useful when chaining or combining API calls, or when tasks will be repeated/automated. Creates reusable command line scripts to fetch, enrich, or process data from Hugging Face Hub.Hugging Face Trackioby huggingfaceTrack and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, HF Space syncing, and JSON output for automation.

---

Source: https://github.com/huggingface/huggingface_hub/tree/HEAD/skills/hf-release-notes
Author: huggingface
Discovered via: mcpservers.org

SKILL.md source

---
name: hf-release-notes
description: Generate Hugging Face Hub (huggingface_hub) release notes from cached PR JSON files. Use when asked to draft release notes from PR files.
---

# hf-release-notes

Generate Hugging Face Hub (huggingface_hub) release notes from cached PR JSON files. Use when asked to draft release notes from PR files.

# hf-release-notesby huggingface
Generate Hugging Face Hub (huggingface_hub) release notes from cached PR JSON files. Use when asked to draft release notes from PR files.

`npx skills add https://github.com/huggingface/huggingface_hub --skill hf-release-notes`Download ZIPGitHub

## More skills from huggingface
Hugging Face Cliby huggingfaceExecute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.Hugging Face Datasetsby huggingfaceCreate and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.Hugging Face Evaluationby huggingfaceAdd and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.Hugging Face Jobsby huggingfaceRun any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks.Hugging Face Model Trainerby huggingfaceTrain or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on dataset preparation, hardware selection, cost estimation, and model persistence.Hugging Face Paper Publisherby huggingfacePublish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.Hugging Face Tool Builderby huggingfaceBuild reusable scripts and tools using the Hugging Face API. Useful when chaining or combining API calls, or when tasks will be repeated/automated. Creates reusable command line scripts to fetch, enrich, or process data from Hugging Face Hub.Hugging Face Trackioby huggingfaceTrack and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, HF Space syncing, and JSON output for automation.

---

**Source**: https://github.com/huggingface/huggingface_hub/tree/HEAD/skills/hf-release-notes
**Author**: huggingface
**Discovered via**: mcpservers.org

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