patchy631/ai-engineering-hub/ai-engineering-hub

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Execute 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.

Install

npx vskill@latest install patchy631/ai-engineering-hub/ai-engineering-hub

SKILL.md

Hugging Face CLI

The hf CLI provides direct terminal access to the Hugging Face Hub for downloading, uploading, and managing repositories, cache, and compute resources.

Quick Command Reference

TaskCommand
Loginhf auth login
Download modelhf download <repo_id>
Download to folderhf download <repo_id> --local-dir ./path
Upload folderhf upload <repo_id> . .
Create repohf repo create <name>
Create taghf repo tag create <repo_id> <tag>
Delete fileshf repo-files delete <repo_id> <files>
List cachehf cache ls
Remove from cachehf cache rm <repo_or_revision>
List modelshf models ls
Get model infohf models info <model_id>
List datasetshf datasets ls
Get dataset infohf datasets info <dataset_id>
List spaceshf spaces ls
Get space infohf spaces info <space_id>
List endpointshf endpoints ls
Run GPU jobhf jobs run --flavor a10g-small <image> <cmd>
Environment infohf env

Core Commands

Authentication
bash
hf auth login # Interactive login
hf auth login --token $HF_TOKEN # Non-interactive
hf auth whoami # Check current user
hf auth list # List stored tokens
hf auth switch # Switch between tokens
hf auth logout # Log out
Download
bash
hf download <repo_id> # Full repo to cache
hf download <repo_id> file.safetensors # Specific file
hf download <repo_id> --local-dir ./models # To local directory
hf download <repo_id> --include "*.safetensors" # Filter by pattern
hf download <repo_id> --repo-type dataset # Dataset
hf download <repo_id> --revision v1.0 # Specific version
Upload
bash
hf upload <repo_id> . . # Current dir to root
hf upload <repo_id> ./models /weights # Folder to path
hf upload <repo_id> model.safetensors # Single file
hf upload <repo_id> . . --repo-type dataset # Dataset
hf upload <repo_id> . . --create-pr # Create PR
hf upload <repo_id> . . --commit-message="msg" # Custom message
Repository Management
bash
hf repo create <name> # Create model repo
hf repo create <name> --repo-type dataset # Create dataset
hf repo create <name> --private # Private repo
hf repo create <name> --repo-type space --space_sdk gradio # Gradio space
hf repo delete <repo_id> # Delete repo
hf repo move <from_id> <to_id> # Move repo to new namespace
hf repo settings <repo_id> --private true # Update repo settings
hf repo list --repo-type model # List repos
hf repo branch create <repo_id> release-v1 # Create branch
hf repo branch delete <repo_id> release-v1 # Delete branch
hf repo tag create <repo_id> v1.0 # Create tag
hf repo tag list <repo_id> # List tags
hf repo tag delete <repo_id> v1.0 # Delete tag
Delete Files from Repo
bash
hf repo-files delete <repo_id> folder/ # Delete folder
hf repo-files delete <repo_id> "*.txt" # Delete with pattern
Cache Management
bash
hf cache ls # List cached repos
hf cache ls --revisions # Include individual revisions
hf cache rm model/gpt2 # Remove cached repo
hf cache rm <revision_hash> # Remove cached revision
hf cache prune # Remove detached revisions
hf cache verify gpt2 # Verify checksums from cache
Browse Hub
bash
# Models
hf models ls # List top trending models
hf models ls --search "MiniMax" --author MiniMaxAI # Search models
hf models ls --filter "text-generation" --limit 20 # Filter by task
hf models info MiniMaxAI/MiniMax-M2.1 # Get model info
# Datasets
hf datasets ls # List top trending datasets
hf datasets ls --search "finepdfs" --sort downloads # Search datasets
hf datasets info HuggingFaceFW/finepdfs # Get dataset info
# Spaces
hf spaces ls # List top trending spaces
hf spaces ls --filter "3d" --limit 10 # Filter by 3D modeling spaces
hf spaces info enzostvs/deepsite # Get space info
Jobs (Cloud Compute)
bash
hf jobs run python:3.12 python script.py # Run on CPU
hf jobs run --flavor a10g-small <image> <cmd> # Run on GPU
hf jobs run --secrets HF_TOKEN <image> <cmd> # With HF token
hf jobs ps # List jobs
hf jobs logs <job_id> # View logs
hf jobs cancel <job_id> # Cancel job
Inference Endpoints
bash
hf endpoints ls # List endpoints
hf endpoints deploy my-endpoint \
--repo openai/gpt-oss-120b \
--framework vllm \
--accelerator gpu \
--instance-size x4 \
--instance-type nvidia-a10g \
--region us-east-1 \
--vendor aws
hf endpoints describe my-endpoint # Show endpoint details
hf endpoints pause my-endpoint # Pause endpoint
hf endpoints resume my-endpoint # Resume endpoint
hf endpoints scale-to-zero my-endpoint # Scale to zero
hf endpoints delete my-endpoint --yes # Delete endpoint

GPU Flavors: cpu-basic, cpu-upgrade, cpu-xl, t4-small, t4-medium, l4x1, l4x4, l40sx1, l40sx4, l40sx8, a10g-small, a10g-large, a10g-largex2, a10g-largex4, a100-large, h100, h100x8

Common Patterns

Download and Use Model Locally
bash
# Download to local directory for deployment
hf download meta-llama/Llama-3.2-1B-Instruct --local-dir ./model
# Or use cache and get path
MODEL_PATH=$(hf download meta-llama/Llama-3.2-1B-Instruct --quiet)
Publish Model/Dataset
bash
hf repo create my-username/my-model --private
hf upload my-username/my-model ./output . --commit-message="Initial release"
hf repo tag create my-username/my-model v1.0
Sync Space with Local
bash
hf upload my-username/my-space . . --repo-type space \
--exclude="logs/*" --delete="*" --commit-message="Sync"
Check Cache Usage
bash
hf cache ls # See all cached repos and sizes
hf cache rm model/gpt2 # Remove a repo from cache

Key Options

  • --repo-type: model (default), dataset, space
  • --revision: Branch, tag, or commit hash
  • --token: Override authentication
  • --quiet: Output only essential info (paths/URLs)

References

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
31,667
Repository forks
5,170
7-day trend score
52

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 19 Mar 2026, 7 months ago.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/patchy631/ai-engineering-hub/ai-engineering-hub/badge)](https://verified-skill.com/skills/patchy631/ai-engineering-hub/ai-engineering-hub)

Something wrong with this skill or its page? Tell us.