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Generative Ui

CommunityPopular
himself65
generative-ui

Design system and guidelines for Claude's built-in generative UI — the show_widget tool that renders interactive HTML/SVG widgets inline in claude.ai conversations. This skill provides the complete Anthropic "Imagine" design system so Claude produces high-quality widgets without needing to call read_me first. Use this skill whenever the user asks to visualize data, create an interactive chart, build a dashboard, render a diagram, draw a flowchart, show a mockup, create an interactive explainer, or produce any visual content beyond plain text or markdown. Triggers include: "show me", "visualize", "draw", "chart", "dashboard", "diagram", "flowchart", "widget", "interactive", "mockup", "illustrate", "explain how X works" (with visual), or any request for visual/interactive output. Also triggers when the user wants to display financial data visually, create comparison grids, or build tools with sliders, toggles, or live-updating displays.

Overview

Publisherhimself65
Repositoryfinance-skills
Skill namegenerative-ui
Stars
3.3K
Forks
378
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

    Published by himself65 on GitHub. Read the source before you install it.

Installation

Install the Generative Ui 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.
  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/himself65/finance-skills.git /tmp/finance-skills
mkdir -p .claude/skills
cp -r /tmp/finance-skills/plugins/ui-tools/skills/generative-ui .claude/skills/generative-ui
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Generative Ui 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 Generative Ui 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 Generative Ui 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.

Generative UI Skill

This skill contains the complete design system for Claude's built-in show_widget tool — the generative UI feature that renders interactive HTML/SVG widgets inline in claude.ai conversations. The guidelines below are the actual Anthropic "Imagine — Visual Creation Suite" design rules, extracted so you can produce high-quality widgets directly without needing the read_me setup call.

How it works: On claude.ai, Claude has access to the show_widget tool which renders raw HTML/SVG fragments inline in the conversation. This skill provides the design system, templates, and patterns to use it well.


Step 1: Pick the Right Visual Type

Route on the verb, not the noun. Same subject, different visual depending on what was asked:

User saysTypeFormat
"how does X work"Illustrative diagramSVG
"X architecture"Structural diagramSVG
"what are the steps"FlowchartSVG
"explain compound interest"Interactive explainerHTML
"compare these options"Comparison gridHTML
"show revenue chart"Chart.js chartHTML
"create a contact card"Data recordHTML
"draw a sunset"Art/illustrationSVG

Step 2: Build the Widget

Structure (strict order)

<style>  →  HTML content  →  <script>

Output streams token-by-token. Styles must exist before the elements they target, and scripts must run after the DOM is ready.

Philosophy

  • Seamless: Users shouldn't notice where the host UI ends and your widget begins
  • Flat: No gradients, mesh backgrounds, noise textures, or decorative effects. Clean flat surfaces
  • Compact: Show the essential inline. Explain the rest in text
  • Text goes in your response, visuals go in the tool — all explanatory text, descriptions, and summaries must be written as normal response text OUTSIDE the tool call. The tool output should contain ONLY the visual element

Core Rules

  • No <!-- comments --> or /* comments */ (waste tokens, break streaming)
  • No font-size below 11px
  • No emoji — use CSS shapes or SVG paths
  • No gradients, drop shadows, blur, glow, or neon effects
  • No dark/colored backgrounds on outer containers (transparent only — host provides the bg)
  • Typography: two weights only: 400 regular, 500 medium. Never use 600 or 700. Headings: h1=22px, h2=18px, h3=16px — all font-weight 500. Body text=16px, weight 400, line-height 1.7
  • Sentence case always. Never Title Case, never ALL CAPS
  • No mid-sentence bolding — entity names go in code style not bold
  • No <!DOCTYPE>, <html>, <head>, or <body> — just content fragments
  • No position: fixed — use normal-flow layouts
  • No tabs, carousels, or display: none sections during streaming
  • No nested scrolling — auto-fit height
  • Corners: border-radius: var(--border-radius-lg) for cards, var(--border-radius-md) for elements
  • No rounded corners on single-sided borders (border-left, border-top)
  • Round every displayed number — use Math.round(), .toFixed(n), or Intl.NumberFormat

CDN Allowlist (CSP-enforced)

External resources may ONLY load from:

  • cdnjs.cloudflare.com
  • cdn.jsdelivr.net
  • unpkg.com
  • esm.sh

All other origins are blocked — the request silently fails.

CSS Variables

Backgrounds: --color-background-primary (white), -secondary (surfaces), -tertiary (page bg), -info, -danger, -success, -warning Text: --color-text-primary (black), -secondary (muted), -tertiary (hints), -info, -danger, -success, -warning Borders: --color-border-tertiary (0.15α, default), -secondary (0.3α, hover), -primary (0.4α), semantic -info/-danger/-success/-warning Typography: --font-sans, --font-serif, --font-mono Layout: --border-radius-md (8px), --border-radius-lg (12px), --border-radius-xl (16px)

All auto-adapt to light/dark mode.

Dark mode is mandatory — every color must work in both modes:

  • In HTML: always use CSS variables for text. Never hardcode colors like color: #333
  • In SVG: use pre-built color classes (c-blue, c-teal, etc.) — they handle light/dark automatically
  • Mental test: if the background were near-black, would every text element still be readable?

sendPrompt(text)

A global function that sends a message to chat as if the user typed it. Use it when the user's next step benefits from Claude thinking. Handle filtering, sorting, toggling, and calculations in JS instead.


Step 3: Render with show_widget

The show_widget tool is built into claude.ai — no activation needed. Pass your widget code directly:

json
{
  "title": "snake_case_widget_name",
  "widget_code": "<style>...</style>\n<div>...</div>\n<script>...</script>"
}
ParameterTypeRequiredDescription
titlestringYesSnake_case identifier for the widget
widget_codestringYesHTML or SVG code. For SVG: start with <svg>. For HTML: content fragment

For SVG output: start widget_code with <svg — it will be auto-detected and wrapped appropriately.


Step 4: Chart.js Template

For charts, use onload callback pattern to handle script load ordering:

html
<div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(140px, 1fr)); gap: 12px;">
  <div style="background: var(--color-background-secondary); border-radius: var(--border-radius-md); padding: 1rem;">
    <div style="font-size: 13px; color: var(--color-text-secondary);">Label</div>
    <div style="font-size: 24px; font-weight: 500;" id="stat1"></div>
  </div>
</div>

<div style="position: relative; width: 100%; height: 300px; margin-top: 1rem;">
  <canvas id="myChart"></canvas>
</div>

<div style="display: flex; align-items: center; gap: 12px; margin-top: 1rem;">
  <label style="font-size: 14px; color: var(--color-text-secondary);">Parameter</label>
  <input type="range" min="0" max="100" value="50" id="param" step="1" style="flex: 1;" />
  <span style="font-size: 14px; font-weight: 500; min-width: 32px;" id="param-out">50</span>
</div>

<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/4.5.1/chart.umd.js" onload="initChart()"></script>
<script>
function initChart() {
  const slider = document.getElementById('param');
  const out = document.getElementById('param-out');
  let chart = null;

  function update() {
    const val = parseFloat(slider.value);
    out.textContent = val;
    document.getElementById('stat1').textContent = val.toFixed(1);

    const labels = [], data = [];
    for (let x = 0; x <= 100; x++) {
      labels.push(x);
      data.push(x * val / 100);
    }

    if (chart) chart.destroy();
    chart = new Chart(document.getElementById('myChart'), {
      type: 'line',
      data: { labels, datasets: [{ data, borderColor: '#7F77DD', borderWidth: 2, pointRadius: 0, fill: false }] },
      options: {
        responsive: true,
        maintainAspectRatio: false,
        plugins: { legend: { display: false } },
        scales: { x: { grid: { display: false } } }
      }
    });
  }

  slider.addEventListener('input', update);
  update();
}
if (window.Chart) initChart();
</script>

Chart.js rules:

  • Canvas cannot resolve CSS variables — use hardcoded hex
  • Set height ONLY on the wrapper div, never on canvas itself
  • Always responsive: true, maintainAspectRatio: false
  • Always disable default legend, build custom HTML legends
  • Number formatting: -$5M not $-5M (negative sign before currency symbol)
  • Use onload="initChart()" on CDN script tag + if (window.Chart) initChart(); as fallback

Step 5: SVG Diagram Template

For flowcharts and diagrams, use SVG with pre-built classes:

svg
<svg width="100%" viewBox="0 0 680 H">
  <defs>
    <marker id="arrow" viewBox="0 0 10 10" refX="8" refY="5" markerWidth="6" markerHeight="6" orient="auto-start-reverse">
      <path d="M2 1L8 5L2 9" fill="none" stroke="context-stroke" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"/>
    </marker>
  </defs>

  <!-- Single-line node (44px tall) -->
  <g class="node c-blue" onclick="sendPrompt('Tell me more about this')">
    <rect x="250" y="40" width="180" height="44" rx="8" stroke-width="0.5"/>
    <text class="th" x="340" y="62" text-anchor="middle" dominant-baseline="central">Step one</text>
  </g>

  <!-- Connector arrow -->
  <line x1="340" y1="84" x2="340" y2="120" class="arr" marker-end="url(#arrow)"/>

  <!-- Two-line node (56px tall) -->
  <g class="node c-teal" onclick="sendPrompt('Explain this step')">
    <rect x="230" y="120" width="220" height="56" rx="8" stroke-width="0.5"/>
    <text class="th" x="340" y="140" text-anchor="middle" dominant-baseline="central">Step two</text>
    <text class="ts" x="340" y="158" text-anchor="middle" dominant-baseline="central">Processes the input</text>
  </g>
</svg>

SVG rules:

  • ViewBox always 680px wide (viewBox="0 0 680 H"). Set H to fit content + 40px padding
  • Safe area: x=40 to x=640, y=40 to y=(H-40)
  • Pre-built classes: t (14px), ts (12px secondary), th (14px medium 500), box, node, arr, c-{color}
  • Every <text> element must carry a class (t, ts, or th)
  • Use dominant-baseline="central" for vertical text centering in boxes
  • Connector paths need fill="none" (SVG defaults to fill: black)
  • Stroke width: 0.5px for borders and edges
  • Make all nodes clickable: onclick="sendPrompt('...')"

Step 6: Interactive Explainer Template

For interactive explainers (sliders, live calculations, inline SVG):

html
<div style="display: flex; align-items: center; gap: 12px; margin: 0 0 1.5rem;">
  <label style="font-size: 14px; color: var(--color-text-secondary);">Years</label>
  <input type="range" min="1" max="40" value="20" id="years" style="flex: 1;" />
  <span style="font-size: 14px; font-weight: 500; min-width: 24px;" id="years-out">20</span>
</div>

<div style="display: flex; align-items: baseline; gap: 8px; margin: 0 0 1.5rem;">
  <span style="font-size: 14px; color: var(--color-text-secondary);">$1,000 →</span>
  <span style="font-size: 24px; font-weight: 500;" id="result">$3,870</span>
</div>

<div style="margin: 2rem 0; position: relative; height: 240px;">
  <canvas id="chart"></canvas>
</div>

<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/4.5.1/chart.umd.js" onload="initChart()"></script>
<script>
function initChart() {
  // slider logic, chart rendering, sendPrompt() for follow-ups
}
if (window.Chart) initChart();
</script>

Use sendPrompt() to let users ask follow-ups: sendPrompt('What if I increase the rate to 10%?')


Step 7: Respond to the User

After rendering the widget, briefly explain:

  1. What the widget shows
  2. How to interact with it (which controls do what)
  3. One key insight from the data

Keep it concise — the widget speaks for itself.


Reference Files

  • references/design_system.md — Complete color palette (9 ramps × 7 stops), CSS variables, UI component patterns, metric cards, layout rules
  • references/svg_and_diagrams.md — SVG viewBox setup, font calibration, pre-built classes, flowchart/structural/illustrative diagram patterns with examples
  • references/chart_js.md — Chart.js configuration, script load ordering, canvas sizing, legend patterns, dashboard layout

Read the relevant reference file when you need specific design tokens, SVG coordinate math, or Chart.js configuration details.

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 Generative Ui AI skill do?

Design system and guidelines for Claude's built-in generative UI — the show_widget tool that renders interactive HTML/SVG widgets inline in claude.ai conversations. This skill provides the complete Anthropic "Imagine" design system so Claude produces high-quality widgets without needing to call read_me first. Use this skill whenever the user asks to visualize data, create an interactive chart, build a dashboard, render a diagram, draw a flowchart, show a mockup, create an interactive explainer, or produce any visual content beyond plain text or markdown. Triggers include: "show me", "visual...

Why use Generative Ui on TypingMind?

Because you install it once and use it with any model. Generative Ui 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 Generative Ui in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/himself65/finance-skills/tree/main/plugins/ui-tools/skills/generative-ui. 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 Generative Ui?

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 Generative Ui?

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

Is the Generative Ui AI skill free?

Yes. It is published on GitHub by himself65 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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