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Rapid Prototyping

Organization
Ormus-Solutions
rapid-prototyping

Fast, disposable UI prototyping with AI: when to stay in vibe mode and when to switch to craft mode, throwaway prototype protocols, variant explosion, prompt patterns for quick iteration, and how to carry a validated prototype toward production. Use when exploring UI ideas, building throwaway demos for feedback, or deciding whether a prototype is ready to harden.

Overview

PublisherOrmus-Solutions
RepositoryLibreUIUX-Claude-Code
Skill namerapid-prototyping
Stars
122
Forks
17
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Ormus-Solutions on GitHub. Read the source before you install it.

Installation

Install the Rapid Prototyping 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/Ormus-Solutions/LibreUIUX-Claude-Code/tree/main/plugins/vibe-coding/skills/rapid-prototyping
  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/Ormus-Solutions/LibreUIUX-Claude-Code.git /tmp/LibreUIUX-Claude-Code
mkdir -p .claude/skills
cp -r /tmp/LibreUIUX-Claude-Code/plugins/vibe-coding/skills/rapid-prototyping .claude/skills/rapid-prototyping
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rapid Prototyping 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 Rapid Prototyping 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 Rapid Prototyping 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.

Rapid Prototyping with Vibe Coding

Embrace the philosophy of "vibe coding" for rapid UI exploration. This skill covers the art of fast, disposable prototyping - knowing when to iterate quickly versus when to refine carefully, and how to build ephemeral apps that validate ideas before committing to production code.


When to Use This Skill

  • Exploring UI concepts before committing to implementation
  • Validating design hypotheses with working prototypes
  • Building quick demos for stakeholder feedback
  • Rapid iteration during discovery phase
  • Creating throwaway experiments to test ideas
  • When speed of learning matters more than code quality
  • Early-stage product development

The Vibe Coding Philosophy

What is Vibe Coding?

Vibe coding is a development approach popularized by Andrej Karpathy where:

"You fully give in to the vibes, embrace exponentials, and forget that the code even exists."

The Core Insight: With AI assistants, the cost of generating code approaches zero. This changes the economics of prototyping - throwaway code becomes genuinely throwaway.

The Two Modes

+------------------+                    +------------------+
|   VIBE MODE      |                    |  CRAFT MODE      |
+------------------+                    +------------------+
| Speed > Quality  |                    | Quality > Speed  |
| Explore > Refine |                    | Refine > Explore |
| Throwaway code   |                    | Lasting code     |
| Learn fast       |                    | Build right      |
| Fail cheap       |                    | Succeed reliably |
+------------------+                    +------------------+
        |                                        |
        |  ← Know when to switch →               |
        |                                        |
        +--------→  Production  ←----------------+

When to Vibe

SituationVibe?Why
Testing a layout ideaYesCheap to try, easy to discard
Exploring color schemesYesVisual, needs real rendering
Validating user flowYesInteraction feedback is essential
Building a demoYesSpeed matters, polish doesn't
Core business logicNoErrors are costly, needs testing
Database schemaNoMigration pain is real
AuthenticationNoSecurity requires precision
Production componentNoMaintenance requires craft

Ephemeral App Patterns

Pattern 1: The 10-Minute Prototype

Build a complete throwaway app in under 10 minutes:

markdown
## 10-Minute Prototype Protocol

### Phase 1: Describe (2 min)
Write a single paragraph describing what you want to see:

"I want a dashboard with a sidebar navigation, a main content area showing
3 cards with metrics, and a header with user avatar. Dark theme. Use
placeholder data. The cards should have hover effects."

### Phase 2: Generate (3 min)
Send to Claude with:
- "Create a complete, runnable React app"
- "Use Tailwind for styling"
- "Inline all components in one file"
- "Use mock data, no API calls"

### Phase 3: Run (2 min)
- npx create-react-app temp-prototype
- Replace App.js with generated code
- npm start

### Phase 4: Evaluate (3 min)
- Does this feel right?
- What's missing?
- What's wrong?
- Is this direction worth pursuing?

### Decision Point
- Worth continuing? → Iterate (another 10-min cycle)
- Not worth it? → Delete and try different approach
- Ready for real? → Extract patterns, start craft mode

Pattern 2: The Storyboard Prototype

Generate multiple screens to visualize a flow:

python
class StoryboardPrototype:
    """
    Generate a sequence of screens to visualize user flow.
    """

    async def generate_flow(self, flow_description: str) -> list[str]:
        """
        Create multiple screen mockups from a flow description.
        """
        prompt = f"""
        Create a storyboard of React components for this user flow:

        {flow_description}

        For each screen:
        1. Create a complete, self-contained component
        2. Use Tailwind CSS
        3. Include realistic mock data
        4. Add navigation hints (arrows, "Next: X")

        Output format:
        - Screen 1: [Component code]
        - Screen 2: [Component code]
        - etc.

        Focus on VISUAL communication, not functionality.
        This is for rapid validation - code quality doesn't matter.
        """

        screens = await self.generate(prompt)

        # Save each screen for quick viewing
        for i, screen in enumerate(screens):
            self.save_screen(f"screen-{i}.jsx", screen)

        return screens

Pattern 3: The Variant Explosion

Generate many variants quickly to explore design space:

python
class VariantExplosion:
    """
    Generate many design variants rapidly.
    """

    async def explode_variants(
        self,
        base_component: str,
        dimensions: list[str]
    ) -> dict[str, str]:
        """
        Generate variants across multiple dimensions.

        Example dimensions:
        - "minimal vs dense"
        - "light vs dark"
        - "rounded vs sharp"
        - "playful vs serious"
        """
        variants = {}

        for dimension in dimensions:
            left, right = dimension.split(" vs ")

            # Generate both ends of the spectrum
            left_variant = await self.generate_variant(base_component, left)
            right_variant = await self.generate_variant(base_component, right)

            variants[f"{left}"] = left_variant
            variants[f"{right}"] = right_variant

        return variants

    async def generate_variant(self, base: str, modifier: str) -> str:
        prompt = f"""
        Take this component and make it feel "{modifier}":

        {base}

        Adjust:
        - Colors
        - Spacing
        - Typography
        - Borders/shadows
        - Any other visual properties

        Keep the same structure, change the vibe.
        """
        return await self.generate(prompt)

Iteration Patterns

When to Iterate (Stay in Vibe Mode)

+-------------------+
| Current Prototype |
+-------------------+
         |
         v
    Is it close?
    /          \
   No           Yes
   |             |
   v             v
Pivot?      Refine it
   |             |
  Yes            |
   |             v
   v        +-------------------+
Try new     |   Minor tweaks    |
direction   | (still vibe mode) |
            +-------------------+

Iterate when:

  • You're not sure what you want yet
  • Stakeholders need to "see it" to give feedback
  • You're testing a hypothesis
  • The cost of being wrong is low

Stop iterating when:

  • You've found the right direction
  • Further iteration isn't teaching you anything
  • You're adding features, not exploring

When to Refine (Switch to Craft Mode)

+-------------------+
| Validated Concept |
+-------------------+
         |
         v
   Worth building?
    /          \
   No           Yes
   |             |
   v             v
Archive     Extract patterns
for later   from prototype
                |
                v
         +-------------------+
         |   Build properly  |
         | (craft mode)      |
         +-------------------+

Switch to craft when:

  • The concept is validated
  • You're ready to commit
  • Others will maintain this code
  • It touches production data
  • Security/reliability matters

The Throwaway Mindset

Core Principle: Code Has Zero Cost

With AI-assisted development:

Old mindset: "I spent 2 hours on this, I should keep it"
New mindset: "I can regenerate this in 2 minutes"

Old mindset: "Let me refactor this to work better"
New mindset: "Let me describe what I want and get new code"

Old mindset: "How do I fix this bug?"
New mindset: "This approach isn't working, try another"

The Delete Button Test

Before refining code, ask:

"If I deleted all this code and re-described what I want, would I get something better?"

If yes → Delete and regenerate If no → You've found something worth keeping

Prototype Hygiene

Keep prototypes actually throwaway:

bash
# Structure for vibe coding projects
~/prototypes/
  ├── 2024-01-15-dashboard-concept/    # Date-prefixed
  │   ├── attempt-1/
  │   ├── attempt-2/
  │   └── attempt-3-keeper/            # Mark what worked
  ├── 2024-01-16-onboarding-flow/
  │   └── discarded/                   # Didn't work out
  └── .gitignore                       # Don't commit prototypes

# Auto-cleanup script
find ~/prototypes -mtime +30 -type d -exec rm -rf {} \;

Fast Feedback Loops

The OODA Loop for UI Prototyping

Observe → Orient → Decide → Act → (repeat)
   |         |         |        |
   v         v         v        v
See the   Evaluate   Choose   Generate
result    against    next     new code
          intent     step

Optimizing each phase:

  1. Observe (see the result)

    • Use hot reload for instant feedback
    • Browser open next to editor
    • Screenshot comparisons for subtle changes
  2. Orient (evaluate against intent)

    • Clear success criteria before starting
    • "I'll know it's right when..."
    • Trust your gut - it's faster than analysis
  3. Decide (choose next step)

    • Tweak (small change to current)
    • Pivot (try different approach)
    • Accept (good enough, move on)
  4. Act (generate new code)

    • One clear instruction per iteration
    • Don't bundle multiple changes
    • Let AI do the typing

Speed Optimization Techniques

python
class RapidIterator:
    """
    Maximize iteration speed for vibe coding.
    """

    def __init__(self):
        self.preview_url = "http://localhost:3000"
        self.hot_reload = True

    async def fast_iterate(self, component: str, feedback: str) -> str:
        """
        Single iteration cycle, optimized for speed.
        """
        # Generate refined code
        new_code = await self.refine(component, feedback)

        # Write directly (hot reload handles the rest)
        self.write_component(new_code)

        # Return immediately - don't wait for confirmation
        return new_code

    async def refine(self, current: str, feedback: str) -> str:
        """
        Fast refinement prompt.
        """
        prompt = f"""
        Current component:
        ```jsx
        {current}
        ```

        Change requested: {feedback}

        Return only the updated component. No explanation.
        """
        return await self.generate(prompt, max_tokens=2000)

Prompt Patterns for Vibe Coding

The "Just Make It" Prompt

markdown
Create a [thing] that [does what].

Keep it simple. One file. Tailwind CSS. React.
Don't explain, just code.
Use realistic fake data.

The "More Like This" Prompt

markdown
Here's what I have:
[paste current code]

Make it more [adjective].

Examples of what I mean by [adjective]:
- [example 1]
- [example 2]

Just output the new code.

The "Try Something Different" Prompt

markdown
I've tried this approach:
[paste current]

It's not working because: [issue]

Give me a completely different approach to the same goal.
Don't iterate on the above - start fresh.

The "Explode Options" Prompt

markdown
I need a [component].

Give me 5 completely different approaches:
1. Minimal
2. Feature-rich
3. Unconventional
4. Classic/standard
5. Wild/experimental

Each as a complete component. Brief, no explanation.

When Vibe Coding Fails

Signs It's Time to Stop Vibing

  1. Diminishing returns: Each iteration teaches less
  2. Complexity creep: "Just add one more thing..."
  3. Dependency tangles: Components need to coordinate
  4. State management hell: Too many moving parts
  5. Performance issues: Browser struggling

The Transition Protocol

When you're ready to build for real:

markdown
## Prototype to Production Checklist

### Extract from Prototype
- [ ] Visual patterns that worked
- [ ] Component structure (not the code)
- [ ] Spacing/sizing decisions
- [ ] Color palette used
- [ ] Typography choices

### Leave Behind
- [ ] All the actual code (it's prototype quality)
- [ ] Inline styles
- [ ] Mock data
- [ ] Missing error states
- [ ] Accessibility gaps

### Build Fresh
- [ ] Start with proper architecture
- [ ] Add proper typing
- [ ] Include error handling
- [ ] Add accessibility
- [ ] Write tests
- [ ] Document decisions

Tools for Vibe Coding

Recommended Stack

bash
# Fastest path to visible output
npx create-react-app prototype --template typescript
cd prototype
npm start

# Or even faster with Vite
npm create vite@latest prototype -- --template react-ts
cd prototype
npm install
npm run dev

Useful Aliases

bash
# In .bashrc or .zshrc

# Quick prototype starter
alias proto="cd ~/prototypes && mkdir $(date +%Y-%m-%d)-idea && cd $_ && npm create vite@latest . -- --template react-ts && npm i && code . && npm run dev"

# Clean old prototypes
alias proto-clean="find ~/prototypes -mtime +14 -type d -exec rm -rf {} \;"

# Archive a good prototype
alias proto-archive="git init && git add -A && git commit -m 'prototype snapshot'"

File Templates

jsx
// ~/templates/quick-component.jsx
// Copy this as starting point

import React from 'react';

export default function Component() {
  // Paste content here
  return (
    <div className="min-h-screen bg-gray-100 p-8">
      {/* Your prototype here */}
    </div>
  );
}

Anti-Patterns

1. Polishing Prototypes

Problem: Spending time making throwaway code "nice" Solution: If it's good enough to see, ship the iteration

2. Prototype Attachment

Problem: Reluctance to delete code you've invested in Solution: Remember: regeneration is free, attachment is costly

3. Premature Production

Problem: Shipping prototype code to production Solution: Always rebuild from validated concept, never ship vibe code

4. Infinite Iteration

Problem: Endlessly tweaking without progress Solution: Set iteration limits (3-5 rounds), then decide

5. Solving the Wrong Problem

Problem: Perfect solution to wrong problem Solution: Validate the concept before perfecting the implementation


Quick Reference

QuestionAnswer
How long should a prototype take?10-30 minutes max
When to delete and restart?When refinement isn't working
How many iterations?3-5 before deciding
When to switch to craft?When concept is validated
What to keep from prototype?Decisions and patterns, not code
What's "good enough"?When you can see if it works

Integration Points

Vibe coding works with:

  • agent-orchestration/ui-agent-patterns - Fast agent for generation
  • llm-application-dev/prompt-engineering-ui - Prompts for quick iteration
  • mcp-integrations/browser-devtools-mcp - Live preview feedback

"The prototype exists to be destroyed. Its only purpose is to teach you what to build next."

Frequently asked questions

What does the Rapid Prototyping AI skill do?

Fast, disposable UI prototyping with AI: when to stay in vibe mode and when to switch to craft mode, throwaway prototype protocols, variant explosion, prompt patterns for quick iteration, and how to carry a validated prototype toward production. Use when exploring UI ideas, building throwaway demos for feedback, or deciding whether a prototype is ready to harden.

Why use Rapid Prototyping on TypingMind?

Because you install it once and use it with any model. Rapid Prototyping 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 Rapid Prototyping in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Ormus-Solutions/LibreUIUX-Claude-Code/tree/main/plugins/vibe-coding/skills/rapid-prototyping. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Rapid Prototyping?

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 Rapid Prototyping?

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

Is the Rapid Prototyping AI skill free?

Yes. It is published on GitHub by Ormus-Solutions 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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