rapid-prototyper

jackspace/claudeskillz · updated Apr 8, 2026

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$npx skills add https://github.com/jackspace/claudeskillz --skill rapid-prototyper
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summary

Fast validation through working prototypes. Creates complete, runnable code to test ideas before committing to full implementation:

skill.md

Rapid Prototyper

Purpose

Fast validation through working prototypes. Creates complete, runnable code to test ideas before committing to full implementation:

  1. Recalls your preferred tech stack from memory
  2. Generates minimal but complete code
  3. Makes it runnable immediately
  4. Gets you visual feedback fast
  5. Saves validated patterns for production

For ADHD users: Immediate gratification - working prototype in minutes, not hours. For aphantasia: Concrete, visual results instead of abstract descriptions. For all users: Validate before investing - fail fast, learn fast.

Activation Triggers

  • User says: "prototype this", "quick demo", "proof of concept", "MVP"
  • User asks: "can we build", "is it possible to", "how would we"
  • User mentions: "try out", "experiment with", "test the idea"
  • Before major feature: proactive offer to prototype first

Core Workflow

1. Understand Requirements

Extract key information:

{
  feature: "User authentication",
  purpose: "Validate JWT flow works",
  constraints: ["Must work offline", "No external dependencies"],
  success_criteria: ["Login form", "Token storage", "Protected route"]
}

2. Recall Tech Stack

Query context-manager:

search memories:
- Type: DECISION, PREFERENCE
- Tags: tech-stack, framework, library
- Project: current project

Example recall:

Found preferences:
- Frontend: React + Vite
- Styling: Tailwind CSS
- State: Zustand
- Backend: Node.js + Express
- Database: PostgreSQL (but skip for prototype)

3. Design Minimal Implementation

Prototype scope:

  • ✅ Core feature working
  • ✅ Visual interface (if UI feature)
  • ✅ Basic validation
  • ✅ Happy path functional
  • ❌ Error handling (minimal)
  • ❌ Edge cases (skip for speed)
  • ❌ Styling polish (functional only)
  • ❌ Optimization (prototype first)

Example: Auth prototype scope

✅ Include:
- Login form
- Token storage in localStorage
- Protected route example
- Basic validation

❌ Skip:
- Password hashing (use fake tokens)
- Refresh tokens
- Remember me
- Password reset
- Email verification

4. Generate Prototype

Structure:

prototype-{feature}-{timestamp}/
├── README.md              # How to run
├── package.json           # Dependencies
├── index.html             # Entry point
├── src/
│   ├── App.jsx           # Main component
│   ├── components/       # Feature components
│   └── utils/            # Helper functions
└── server.js             # If backend needed

Example: Auth Prototype

package.json:

{
  "name": "auth-prototype",
  "type": "module",
  "scripts": {
    "dev": "vite",
    "build": "vite build"
  },
  "dependencies": {
    "react": "^18.2.0",
    "react-dom": "^18.2.0",
    "react-router-dom": "^6.20.0",
    "zustand": "^4.4.7"
  },
  "devDependencies": {
    "@vitejs/plugin-react": "^4.2.1",
    "vite": "^5.0.8"
  }
}

src/App.jsx:

import { useState } from 'react';
import { BrowserRouter, Routes, Route, Navigate } from 'react-router-dom';
import { useAuthStore } from './store';

function LoginForm() {
  const [email, setEmail] = useState('');
  const [password, setPassword] = useState('');
  const login = useAuthStore(state => state.login);

  const handleSubmit = (e) => {
    e.preventDefault();
    // Prototype: Accept any credentials
    if (email && password) {
      login({ email, token: 'fake-jwt-token' });
    }
  };

  return (
    <div style={{ maxWidth: 400, margin: '100px auto' }}>
      <h1>Login</h1>
      <form onSubmit={handleSubmit}>
        <input
          type="email"
          value={email}
          onChange={(e) => setEmail(e.target.value)}
          placeholder="Email"
          style={{ display: 'block', width: '100%', margin: '10px 0', padding: 8 }}
        />
        <input
          type="password"
          value={password}
          onChange={(e) => setPassword(e.target.value)}
          placeholder="Password"
          style={{ display: 'block', width: '100%', margin: '10px 0', padding: 8 }}
        />
        <button type="submit" style={{ padding: '10px 20px' }}>
          Login
        </button>
      </form>
    </div>
  );
}

function Dashboard() {
  const { user, logout } = useAuthStore();

  return (
    <div style={{ maxWidth: 800, margin: '50px auto' }}>
      <h1>Dashboard</h1>
      <p>Welcome, {user.email}!</p>
      <p>Token: {user.token}</p>
      <button onClick={logout} style={{ padding: '10px 20px' }}>
        Logout
      </button
how to use rapid-prototyper

How to use rapid-prototyper 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 rapid-prototyper
2

Execute installation command

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

$npx skills add https://github.com/jackspace/claudeskillz --skill rapid-prototyper

The skills CLI fetches rapid-prototyper from GitHub repository jackspace/claudeskillz 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/rapid-prototyper

Reload or restart Cursor to activate rapid-prototyper. Access the skill through slash commands (e.g., /rapid-prototyper) 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.

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

4.632 reviews
  • Isabella Flores· Dec 16, 2024

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

  • Rahul Santra· Nov 23, 2024

    rapid-prototyper has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Xiao Nasser· Nov 3, 2024

    rapid-prototyper has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Benjamin Bhatia· Oct 22, 2024

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

  • Pratham Ware· Oct 14, 2024

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

  • Xiao Sharma· Sep 13, 2024

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

  • James Dixit· Sep 9, 2024

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

  • Yash Thakker· Sep 1, 2024

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

  • Amina Iyer· Aug 28, 2024

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

  • Dhruvi Jain· Aug 20, 2024

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

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