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AI Agent Workflow Collection

Skill pack
11 skills0 selected
huggingfaceSkills in this pack

Use the Hugging Face Hub CLI (hf) to download, upload, and manage models, datasets, and Spaces.

English

Run local evaluations for Hugging Face Hub models with inspect-ai or lighteval.

English

Query Hugging Face datasets through the Dataset Viewer API for splits, rows, search, filters, and parquet links.

English

Build or edit Gradio apps, layouts, components, and chat interfaces in Python.

English

Run workloads on Hugging Face Jobs with managed CPUs, GPUs, TPUs, secrets, and Hub persistence.

English

Train or fine-tune TRL language models on Hugging Face Jobs, including SFT, DPO, GRPO, and GGUF export.

English

Publish and manage research papers on Hugging Face Hub.

English

Read and analyze Hugging Face paper pages or arXiv papers with markdown and papers API metadata.

English

Track ML experiments with Trackio using Python logging, alerts, and CLI metric retrieval.

English

Train or fine-tune vision models on Hugging Face Jobs for detection, classification, and SAM or SAM2 segmentation.

English

Run Hugging Face models in JavaScript or TypeScript with Transformers.js in Node.js or the browser.

Uncertain

Includes Hugging Face CLI, Hugging Face Community Evals, Hugging Face Dataset Viewer, and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills11CategorygeneralStars0

What’s included

Hugging Face CLI

Use the Hugging Face Hub CLI (hf) to download, upload, and manage models, datasets, and Spaces.

Hugging Face Community Evals

Run local evaluations for Hugging Face Hub models with inspect-ai or lighteval.

Hugging Face Dataset Viewer

Query Hugging Face datasets through the Dataset Viewer API for splits, rows, search, filters, and parquet links.

Hugging Face Gradio

Build or edit Gradio apps, layouts, components, and chat interfaces in Python.

Hugging Face Jobs

Run workloads on Hugging Face Jobs with managed CPUs, GPUs, TPUs, secrets, and Hub persistence.

Hugging Face Model Trainer

Train or fine-tune TRL language models on Hugging Face Jobs, including SFT, DPO, GRPO, and GGUF export.

Hugging Face Paper Publisher

Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional

Hugging Face Papers

Read and analyze Hugging Face paper pages or arXiv papers with markdown and papers API metadata.

Hugging Face Trackio

Track ML experiments with Trackio using Python logging, alerts, and CLI metric retrieval.

Hugging Face Vision Trainer

Train or fine-tune vision models on Hugging Face Jobs for detection, classification, and SAM or SAM2 segmentation.

Transformers JavaScript

Run Hugging Face models in JavaScript or TypeScript with Transformers.js in Node.js or the browser.

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Hugging Face CLI skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • Reported licenses for the skills shown: Complete terms in LICENSE.txt, Apache-2.0. The author’s terms apply.
AI Agent Workflow Collection | Agent Skills Atlas