explainx.ainewsletter3.4k
Frontend

generative-ui▌

himself65/finance-skills · updated May 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/himself65/finance-skills --skill generative-ui
0 commentsdiscussion
summary

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.

skill.md

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 says Type Format
"how does X work" Illustrative diagram SVG
"X architecture" Structural diagram SVG
"what are the steps" Flowchart SVG
"explain compound interest" Interactive explainer HTML
"compare these options" Comparison grid HTML
"show revenue chart" Chart.js chart HTML
"create a contact card" Data record HTML
"draw a sunset" Art/illustration SVG

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:

{
  "title": "snake_case_widget_name",
  "widget_code": "<style>...</style>\n<div>...</div>\n<script>...</script>"
}
Parameter Type Required Description
title string Yes Snake_case identifier for the widget
widget_code string Yes HTML 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:

<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/4.4.1/chart.umd.js" onload="initChart()"></script>
<script>
function initChart() {
  const slider = document.getElementById('param');
  const out = document.getElementById('param-out');
  let chart = null;
how to use generative-ui

How to use generative-ui on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add generative-ui
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/himself65/finance-skills --skill generative-ui

The skills CLI fetches generative-ui from GitHub repository himself65/finance-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/generative-ui

Reload or restart Cursor to activate generative-ui. Access the skill through slash commands (e.g., /generative-ui) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

✓

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

✓

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

✓

Improve work quality by 30-40% with less effort

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client with skill support
  • ›Clear understanding of task or problem to solve
  • ›Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • ⚠Expecting perfect results without iteration
  • ⚠Not providing enough context in prompts
  • ⚠Using skill for tasks outside its intended scope
  • ⚠Accepting outputs without review and validation

Best Practices▌

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • −Don't use without understanding skill limitations
  • −Don't skip validation of outputs
  • −Don't share sensitive information in prompts
  • −Don't expect skill to replace human judgment

💡 Pro Tips

  • ★Be specific about desired format and style
  • ★Ask for multiple options to choose from
  • ★Request explanations to understand reasoning
  • ★Combine AI efficiency with human expertise

When to Use This▌

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path▌

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.7★★★★★50 reviews
  • ★★★★★Kwame Sanchez· Dec 28, 2024

    generative-ui fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Kwame Abbas· Dec 24, 2024

    I recommend generative-ui for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Shikha Mishra· Dec 12, 2024

    Registry listing for generative-ui matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Kwame Thompson· Nov 19, 2024

    We added generative-ui from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Kwame Li· Nov 15, 2024

    Useful defaults in generative-ui — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Rahul Santra· Nov 3, 2024

    Keeps context tight: generative-ui is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Pratham Ware· Oct 22, 2024

    I recommend generative-ui for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Kwame Wang· Oct 10, 2024

    generative-ui reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Kwame Ramirez· Oct 6, 2024

    Registry listing for generative-ui matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Olivia Verma· Sep 17, 2024

    Solid pick for teams standardizing on skills: generative-ui is focused, and the summary matches what you get after install.

showing 1-10 of 50

1 / 5