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Interactive Input

Community
sugarforever
interactive-input

Enables rich interactive UI components in chat responses. When presenting questions that require structured input (multiple choice, true/false, forms), embed interactive blocks that compatible clients render as native UI elements. Use when user asks for quizzes, exercises, surveys, or any structured input scenario.

Overview

Publishersugarforever
Repository01coder-agent-skills
Skill nameinteractive-input
Stars
139
Forks
37
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by sugarforever on GitHub. Read the source before you install it.

Installation

Install the Interactive Input AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/sugarforever/01coder-agent-skills/tree/main/skills/interactive-input
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/sugarforever/01coder-agent-skills.git /tmp/01coder-agent-skills
mkdir -p .claude/skills
cp -r /tmp/01coder-agent-skills/skills/interactive-input .claude/skills/interactive-input
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Interactive Input in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Interactive Input on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Interactive Input is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Interactive Input Blocks

Embed interactive UI components (radio buttons, checkboxes, text fields, toggles) directly in chat responses. Compatible clients render these as native UI elements; other clients show a readable JSON code block as fallback.

When to Use

  • Quizzes and exercises (single/multiple choice, fill-in-the-blank)
  • Surveys and polls
  • Structured data collection (forms)
  • Any scenario where the user needs to select from options or provide structured input

How It Works

Wrap a JSON block in a ```interactive code fence within your normal markdown response. You can mix regular text and interactive blocks freely in the same message.

Schema Reference

See references/schema.md for the complete schema specification.

Quick Example

When presenting a multiple-choice question, instead of listing options as text:

markdown
Here's your first question:

```interactive
{
  "id": "q1",
  "card": {
    "body": [
      { "type": "TextBlock", "text": "What is the capital of France?", "weight": "bold" },
      { "type": "Input.ChoiceSet", "id": "answer", "style": "expanded",
        "choices": [
          { "title": "A. London", "value": "london" },
          { "title": "B. Paris", "value": "paris" },
          { "title": "C. Berlin", "value": "berlin" },
          { "title": "D. Madrid", "value": "madrid" }
        ]
      }
    ],
    "actions": [{ "type": "Action.Submit", "title": "Submit" }]
  }
}
```

Rules

  1. Every interactive block MUST have a unique id field
  2. Every interactive block MUST have at least one element in card.body
  3. Include an Action.Submit in card.actions so the user can submit their response
  4. Use "style": "expanded" for choice sets to show all options visually (recommended for quizzes)
  5. Use "style": "compact" for dropdown selects when there are many options
  6. Set "isMultiSelect": true on Input.ChoiceSet for multiple-choice questions
  7. The first TextBlock in the body is used as the question label in the submitted response
  8. You can include multiple interactive blocks in one message (e.g., a full quiz)
  9. Always wrap the JSON in a ```interactive code fence — never use ```json for interactive blocks
  10. Keep the JSON compact and valid — no comments, no trailing commas

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Interactive Input AI skill do?

Enables rich interactive UI components in chat responses. When presenting questions that require structured input (multiple choice, true/false, forms), embed interactive blocks that compatible clients render as native UI elements. Use when user asks for quizzes, exercises, surveys, or any structured input scenario.

Why use Interactive Input on TypingMind?

Because you install it once and use it with any model. Interactive Input is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Interactive Input in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sugarforever/01coder-agent-skills/tree/main/skills/interactive-input. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Interactive Input?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Interactive Input?

As many as you like. As long as a model supports skills, you can use Interactive Input with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Interactive Input AI skill free?

Yes. It is published on GitHub by sugarforever under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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