Guide · Agent skill
How to use the Gradio Web UI Builder agent skill
Updated · written with AI from the project's own documentation and checked against our catalogue data
The huggingface-gradio skill teaches an AI agent the core patterns of Gradio, a Python library for building web pages where people type, click, or upload things and see results from a Python function. It is most useful for quick model demos, internal tool front ends, and chatbot UIs written in Python. After this guide you will know how to install the skill, ask for Gradio work in plain language, and check what the agent produces.
Quick start
- 1Download the ZIP. Download the huggingface-gradio ZIP from this page.
- 2Unzip into a skills folder. Unzip it into ~/.claude/skills/ for all projects, or into a project's .claude/skills/ folder.
- 3Install Gradio. Install the Gradio Python library in the Python environment you will use, since the skill does not include it.
- 4Ask for a Gradio app. Describe the inputs, outputs and behaviour you want in plain language.
- 5Run and test. Run the generated Python file and test every control on the page it opens.
What the skill makes the agent do
An agent skill is a folder of instructions and reference files that an AI agent loads when a task matches it. This one covers Gradio's Python API. With it installed, the agent knows the three main ways to build a Gradio app: the simple Interface wrapper, the more flexible Blocks layout with explicit event wiring, and ChatInterface for chatbots.
The skill also includes signatures for common components such as Textbox, Slider, Checkbox and Dropdown, so the agent can write or edit an app with the right arguments. It points to official Gradio guides on topics like streaming, layout, custom CSS and sharing, and it includes complete example apps in examples.md.
Install the Gradio skill from the ZIP
Download the ZIP for skills/huggingface-gradio from this page and unzip it. To make the skill available to Claude Code for all your projects, place the unzipped folder in ~/.claude/skills/. To limit it to one project, place it in that project's .claude/skills/ folder instead.
If you use the Claude apps, you can upload the skill instead: open Settings, go to Capabilities, then Skills, and add the ZIP there.
- Personal install: ~/.claude/skills/
- Project install: .claude/skills/ inside your project folder
- Claude apps: Settings → Capabilities → Skills
Install Gradio itself
The skill does not include Gradio. You need Python and the Gradio Python library installed separately. The skill's own examples assume you will run the apps it writes, so install Gradio in the same Python environment you plan to use.
- Requires: Python
- Requires: the Gradio Python library, installed separately
import gradio as grTrigger the skill with natural requests
You do not need a special command. Describe the Gradio work you want, and the agent loads the skill when the request matches its description: creating or editing Gradio apps, components, event listeners, layouts, or chatbots.
Name the outcome and the inputs and outputs. The more specific the request, the more useful the first draft.
- Make a Gradio app where I type a sentence and see its word count.
- Edit my Gradio Blocks app so the Dropdown choices change the Textbox below it.
- Build a ChatInterface chatbot around my respond function that keeps history.
- Add a Slider and Checkbox to this Gradio demo and wire them to my predict function.
Worked example: a Blocks app with event wiring
For an app with a button and two text boxes, the Blocks pattern places components inside a layout and connects a click event to a function. The skill's reference shows this shape, which you can adapt. Run the file with python and Gradio launches the page locally.
The examples.md file includes a Radio that shows or hides a Textbox based on the choice, which is a good model for conditional behaviour.
import gradio as gr
with gr.Blocks() as demo:
name = gr.Textbox(label="Name")
output = gr.Textbox(label="Greeting")
btn = gr.Button("Greet")
btn.click(fn=lambda n: f"Hello {n}!", inputs=name, outputs=output)
demo.launch()Review what the agent writes
Check that the code uses the component arguments the skill documents, such as label, lines, minimum and maximum on a Slider, or choices on a Dropdown. Run the app and test every input, because the skill guides code writing but cannot test the page for you.
For topics beyond the core patterns, such as streaming outputs or custom CSS, ask the agent to follow the linked official guide. Those guides are external web pages, so the agent or you will need to read them directly.
- Run the generated file and try each control.
- Confirm the function's inputs and outputs match the components' order.
- Ask for a fix with the error message if the app fails to start.
What people use it for
- A quick web demo where people upload an image or type text to see a model's output.
- An internal tool front end for a script that a team runs with form fields and a results box.
- A chatbot front end built with ChatInterface around a Python response function.
- Editing an existing Gradio app to add a Slider, Checkbox or Dropdown and wire it to a function.
Frequently asked questions
Is the Gradio agent skill free?
The skill is published under the Apache-2.0 licence, as listed on this page. Gradio itself is a Python library you install separately, so check its own licence if you need it for a commercial product.
What do I need to use the huggingface-gradio skill?
You need Python and the Gradio Python library installed separately. The skill does not run scripts or use the network, but the apps it helps you write need Python to run.
Where do I put the skill so Claude can find it?
Unzip it into ~/.claude/skills/ to make it available across projects, or into a project's .claude/skills/ folder to limit it to that project. In the Claude apps, upload the ZIP under Settings, Capabilities, then Skills.
Can this skill deploy my Gradio app?
No. The skill only guides code writing. It points to official Gradio guides, including Sharing Your App, but it does not host or deploy anything for you.
Is this skill good for React or other JavaScript front ends?
No. It covers Gradio's Python API only. The files mention the JS client but do not teach it in depth, so pick a JavaScript framework approach for production front ends.
Why does the agent's Gradio code fail when I run it?
Check that Gradio is installed in the Python environment you are using, and that component arguments match the signatures in the skill. Paste the full error message back to the agent and ask it to fix the file.
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Our verdict
Use this skill if you are a Python developer or data scientist who wants a quick, shareable web UI for a model or script, or a Gradio chatbot front end. Pick something else if you need a production JavaScript app, or a hosted service that deploys and runs your app for you.
Download the skill