Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Huggingface
Manage models, datasets, Spaces, and repositories using Hugging Face CLI (hf). Supports authentication, upload, download, Space creation, and more.
skill openclawclawhub Free
Manage models, datasets, Spaces, and repositories using Hugging Face CLI (hf). Supports authentication, upload, download, Space creation, and more.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, _meta.json
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.2
Provenance
- Publisher
- TsukiSama9292
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Hugging Face CLI Skill
Use Hugging Face Hub CLI (hf) for various operations.
Environment Variables
HF_TOKEN: Hugging Face API Token (get from https://huggingface.co/settings/tokens)
1. Authentication Management (hf auth)
# Check login status hf auth whoami # List all tokens hf auth list # Login hf auth login # Logout hf auth logout # Switch token hf auth switch
2. Model Management (hf models)
# List models (supports sorting and filtering) hf models ls --sort downloads --limit 10 hf models ls --search "llama" # Get model info hf models info meta-llama/Llama-3.2-1B-Instruct
3. Dataset Management (hf datasets)
# List datasets hf datasets ls --limit 10 hf datasets ls --search "imagenet" # Get dataset info hf datasets info HuggingFaceFW/fineweb
4. Spaces Management (hf spaces)
# List Spaces hf spaces ls --limit 10 # Get Space info hf spaces info username/repo-name # Hot-reload (experimental, for Gradio 6.1+) hf spaces hot-reload username/repo-name app.py hf spaces hot-reload username/repo-name -f ./local/app.py
5. Repository Management (hf repos)
# Create new repository hf repos create my-model --type model hf repos create my-dataset --type dataset hf repos create my-space --type space # Delete repository hf repos delete username/repo-name # Set as private hf repos settings username/repo-name --private # Manage branches hf repos branch create username/repo-name feature-branch hf repos branch delete username/repo-name feature-branch # Manage tags hf repos tag create username/repo-name v1.0 hf repos tag delete username/repo-name v1.0 # Move repository to another namespace hf repos move old-namespace/my-model new-namespace/my-model
6. Download Files (hf download)
# Download entire model hf download meta-llama/Llama-3.2-1B-Instruct # Download specific files hf download meta-llama/Llama-3.2-1B-Instruct config.json tokenizer.json # Download with glob patterns hf download meta-llama/Llama-3.2-1B-Instruct --include "*.safetensors" hf download meta-llama/Llama-3.2-1B-Instruct --include "*.json" --exclude "*.bin" # Download to local directory hf download meta-llama/Llama-3.2-1B-Instruct --local-dir ./models/llama # Download dataset hf download HuggingFaceM4/FineVision --repo-type dataset
7. Upload Files (hf upload)
# Upload entire directory hf upload my-cool-model . . # Upload single file hf upload username/my-model ./models/model.safetensors # Upload to dataset hf upload username/my-dataset ./data /train --repo-type dataset # With commit message hf upload username/my-model ./models . --commit-message="Epoch 34/50" --commit-description="Val accuracy: 68%" # Create Pull Request hf upload bigcode/the-stack . . --repo-type dataset --create-pr # Create private repository hf upload username/my-private-model . . --private
8. Collection Management (hf collections)
# Create collection hf collections create "My Models" # Add item to collection hf collections add-item username/my-collection moonshotai/kimi-k2 model # List collections hf collections ls # Get collection info hf collections info username/my-collection # Update collection hf collections update username/my-collection --title "New Title" # Update collection item hf collections update-item username/my-collection ITEM_OBJECT_ID --note "Updated note" # Delete item hf collections delete-item username/my-collection ITEM_OBJECT_ID # Delete collection hf collections delete username/my-collection
Example 1: Download and Upload Model
# Download model hf download meta-llama/Llama-3.2-1B-Instruct --local-dir ./llama-model # Upload to your repository hf upload username/my-llama ./llama-model .
Example 2: Manage Space
# Create Space hf repos create my-app --type space # Upload code hf upload username/my-app ./app.py # Hot-reload for development hf spaces hot-reload username/my-app app.py
Example 3: Batch Operations
# Download all safetensors files hf download meta-llama/Llama-3.2-1B-Instruct --include "*.safetensors" # Upload and create PR hf upload username/model . . --create-pr --commit-message="Update model"
Notes
Token Management: Ensure HF_TOKEN environment variable is set, or use --token parameter Large File Upload: For large folders, consider using hf upload-large-folder Space Hot-Reload: Only works with Gradio 6.1+, experimental feature Free Space Limits: Free fixed vCPU: 2 RAM: 16GB No persistent storage (use external storage or HF Datasets)
Resources
Hugging Face CLI Documentation Hugging Face Token Settings Hugging Face Spaces
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Config
- SKILL.md
- _meta.json