# ai-assisted-prototyping

Guides product managers in building functional prototypes from text prompts or visual mocks. Useful for validating ideas before involving an engineering team.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 354 installs · ★ 1434
- Author: RefoundAI
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/RefoundAI/lenny-skills/tree/HEAD/skills/ai-assisted-prototyping/SKILL.md
- Updated: 2026-07-16
- HTML: https://affpapa.org/en/nevibecode/skills/ai-assisted-prototyping

## What it does

This skill guides AI agents through building functional software prototypes using insights from 15 guests on Lenny's Podcast and Newsletter. It breaks the workflow into four steps: setting project goals, picking the right environment like Cursor or web-based builders such as v0, generating features sequentially from PRDs or mockups, and handing off clean reference code.

Instead of generating static HTML pages, the workflow pushes the agent toward working software with databases, user authentication, and hosting. Roughly 80% of project time belongs in the planning conversation, because jumping straight into execution scrambles the logic.

Attempting complex state management in simple web builders will hit a wall; the skill flags this early and routes advanced builds to a local IDE. All 40 source insights are documented in `references/guest-insights.md`.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add RefoundAI/lenny-skills --skill ai-assisted-prototyping -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/ai-assisted-prototyping/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/ai-assisted-prototyping/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add RefoundAI/lenny-skills --skill ai-assisted-prototyping -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/ai-assisted-prototyping/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add RefoundAI/lenny-skills --skill ai-assisted-prototyping -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/ai-assisted-prototyping/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install RefoundAI/lenny-skills ai-assisted-prototyping
```

2. **Manually: put the files in place**
- File: `.github/skills/ai-assisted-prototyping/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add RefoundAI/lenny-skills --skill ai-assisted-prototyping -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/RefoundAI/lenny-skills --path skills/ai-assisted-prototyping
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/ai-assisted-prototyping/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add RefoundAI/lenny-skills --skill ai-assisted-prototyping -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/RefoundAI/lenny-skills/tree/HEAD/skills/ai-assisted-prototyping/SKILL.md

## When to use it
- Build interactive prototypes from PRDs or Figma screenshots
- Select between visual builders and a local IDE based on project scope
- Validate full-stack features with functional databases and hosting
- Prepare reference code for engineering handoff

## Example prompts
- Help me build an interactive prototype for an onboarding flow based on this PRD
- Evaluate my project requirements and choose between Lovable and Cursor
- Create a step-by-step implementation plan for a prototype with user authentication

## Source text · SKILL.md · MIT

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BEGIN THIRD-PARTY FILE fa6e0ccded9e43d2
```text
---
name: ai-assisted-prototyping
description: Help users build functional product prototypes from natural language or visual mocks using AI coding tools. This skill enables product leaders to bypass engineering bottlenecks and validate ideas through hands-on building.
---

# AI-Assisted Prototyping

Transform abstract product concepts into functional, interactive software using natural language and AI tools.

Help the user with ai-assisted prototyping using insights from 15 guests and posts across Lenny's Podcast and Newsletter.

## How to Help

1. **Identify the goal** - Determine if the objective is a visual exploration, a functional internal tool, or a production-grade feature validation.
2. **Select the tool** - Choose between web-based visual builders like v0 or Lovable and local development environments like Cursor based on project complexity.
3. **Prompt and iterate** - Use detailed descriptions, PRDs, or screenshots to generate the initial version and refine it through granular, sequential feedback.
4. **Validate and hand off** - Use the interactive prototype to gather user feedback or provide engineering with high-fidelity reference code for implementation.

## Core Principles

### Taste-Making through Functional Builds
Aparna Chennapragada: "If you're not prototyping and building to see what you want to build, I think you're doing it wrong. It becomes even more important to have that territorial and taste-making at the heart of it because, otherwise, you just have a Frankenstein product."

Build functional prototypes immediately to develop product taste. Visualizing the vision before committing to full-scale development helps avoid building incoherent features that fail to solve core user problems.

### Real-World Feature Validation
Eric Simons: "And it's not just building a static site, or something like that, but you can actually build full stack, real software with databases, and hosting and et cetera, just from prompting. And in a ridiculously short period of time, it's not like you're spending hours and hours or days, putting this together. You can get results in like, a minute."

Move beyond static mockups to validate complex features like databases and hosting. Text-to-app tools allow for the testing of full-stack versions of features rather than just static UIs.

### Planning Over Execution
Lazar Jovanovic: "I can say I spent 80% of my time in planning and chatting and only 20% in executing the plan actually. I'm optimizing for the right kind of speed. Most people optimize for the wrong one."
```
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