How do I install the Hf Gradio skill?

Run npx skillmds@latest add gradio-app/hf-gradio in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Is Hf Gradio free to use?

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Who published Hf Gradio?

gradio-app (@gradio-app) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Hf Gradio by gradio-app — Agent Skill

Name: Hf Gradio
Rating: 4.2 (5 reviews)
Author: gradio-app

File contents

hf-gradio CLI Skill

The hf-gradio CLI gradio CLI includes info and predict commands for interacting with Gradio apps programmatically.

Step 1 - Verify installation

Verify that either hf-gradio or gradio are installed in the current virtual environment.

If the hf CLI app is installed. The hf-gradio extension can be installed via

hf extensions install gradio-app/hf-gradio

Step 2 - Use `info` to discover endpoints and payload format

gradio info <space_id_or_url>

hf-gradio info <space_id_or_url>

hf gradio info <space_id_or_url>

Returns a JSON payload describing all endpoints, their parameters (with types and defaults), and return values.

gradio info gradio/calculator
#    {
#   "/predict": {
#     "parameters": [
#       {"name": "num1", "required": true, "default": null, "type": {"type": "number"}},
#       {"name": "operation", "required": true, "default": null, "type": {"enum": ["add", "subtract", "multiply", "divide"], "type": "string"}},
#       {"name": "num2", "required": true, "default": null, "type": {"type": "number"}}
#     ],
#     "returns": [{"name": "output", "type": {"type": "number"}}],
#     "description": ""
#   }
# }

File-type parameters show "type": "filepath" with instructions to include "meta": {"_type": "gradio.FileData"} — this signals the file will be uploaded to the remote server.

Step 3 - Use `predict` to generate the prediction

gradio predict <space_id_or_url> <endpoint> <json_payload>

hf-gradio predict <space_id_or_url> <endpoint> <json_payload>

hf gradio predict <space_id_or_url> <endpoint> <json_payload>

Returns a JSON object with named output keys.

# Simple numeric prediction
gradio predict gradio/calculator /predict '{"num1": 5, "operation": "multiply", "num2": 3}'
# {"output": 15}

# Image generation
gradio predict black-forest-labs/FLUX.2-dev /infer '{"prompt": "A majestic dragon"}'
# {"Result": "/tmp/gradio/.../image.webp", "Seed": 1117868604}

# File upload (must include meta key)
gradio predict gradio/image_mod /predict '{"image": {"path": "/path/to/image.png", "meta": {"_type": "gradio.FileData"}}}'
# {"output": "/tmp/gradio/.../output.png"}

Both commands accept --token for accessing private Spaces.

---name: hf-gradiodescription: Use Gradio applications via API. Use when the user asks for to generate a prediction from a Gradio app on Hugging Face spaces or public URL. For example, "Generate an image using black-forest-labs/FLUX.2-dev".---## hf-gradio CLI SkillThe `hf-gradio` CLI `gradio` CLI includes `info` and `predict` commands for interacting with Gradio apps programmatically. ## Step 1 - Verify installationVerify that either `hf-gradio` or `gradio` are installed in the current virtual environment.If the `hf` CLI app is installed. The `hf-gradio` extension can be installed via```bashhf extensions install gradio-app/hf-gradio```### Step 2 - Use `info` to discover endpoints and payload format```bashgradio info <space_id_or_url>``````bashhf-gradio info <space_id_or_url>``````bashhf gradio info <space_id_or_url>```Returns a JSON payload describing all endpoints, their parameters (with types and defaults), and return values.```bashgradio info gradio/calculator# {# "/predict": {# "parameters": [# {"name": "num1", "required": true, "default": null, "type": {"type": "number"}},# {"name": "operation", "required": true, "default": null, "type": {"enum": ["add", "subtract", "multiply", "divide"], "type": "string"}},# {"name": "num2", "required": true, "default": null, "type": {"type": "number"}}# ],# "returns": [{"name": "output", "type": {"type": "number"}}],# "description": ""# }# }```File-type parameters show `"type": "filepath"` with instructions to include `"meta": {"_type": "gradio.FileData"}` — this signals the file will be uploaded to the remote server.## Step 3 - Use `predict` to generate the prediction```bashgradio predict <space_id_or_url> <endpoint> <json_payload>``````bashhf-gradio predict <space_id_or_url> <endpoint> <json_payload>``````bashhf gradio predict <space_id_or_url> <endpoint> <json_payload>```Returns a JSON object with named output keys.```bash# Simple numeric predictiongradio predict gradio/calculator /predict '{"num1": 5, "operation": "multiply", "num2": 3}'# {"output": 15}# Image generationgradio predict black-forest-labs/FLUX.2-dev /infer '{"prompt": "A majestic dragon"}'# {"Result": "/tmp/gradio/.../image.webp", "Seed": 1117868604}# File upload (must include meta key)gradio predict gradio/image_mod /predict '{"image": {"path": "/path/to/image.png", "meta": {"_type": "gradio.FileData"}}}'# {"output": "/tmp/gradio/.../output.png"}```Both commands accept `--token` for accessing private Spaces.

Frequently asked questions

Hf Gradio