Ai Assisted Prototyping

OrganizationPopular

RefoundAI

ai-assisted-prototyping

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.

Overview

Publisher	RefoundAI
Repository	`lenny-skills`
Skill name	`ai-assisted-prototyping`
Stars	1.3K
Forks	170
Bundled files	2
License	MIT
Links	Skill source Repository

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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by RefoundAI on GitHub. Read the source before you install it.

Installation

Install the Ai Assisted Prototyping AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/RefoundAI/lenny-skills.git /tmp/lenny-skills
mkdir -p .claude/skills
cp -r /tmp/lenny-skills/skills/ai-assisted-prototyping .claude/skills/ai-assisted-prototyping

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ai Assisted 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 Ai Assisted 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 Ai Assisted 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.

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

Identify the goal - Determine if the objective is a visual exploration, a functional internal tool, or a production-grade feature validation.
Select the tool - Choose between web-based visual builders like v0 or Lovable and local development environments like Cursor based on project complexity.
Prompt and iterate - Use detailed descriptions, PRDs, or screenshots to generate the initial version and refine it through granular, sequential feedback.
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."

Successful AI orchestration requires shifting focus from implementation to heavy planning and sequential task scoping. Dedicate the majority of project time to the chatting phase to ensure the AI follows a logical path.

Independent Shipping

Zevi Arnovitz: "If you're non-technical like me, code is terrifying, but AI just makes it so much possible. In the next coming years, I think everyone's going to become a builder. Titles are going to collapse and responsibilities are going to collapse."

Lower the barrier to entry for professional software development by using tools like Cursor with Claude Code. This allows non-technical product managers to build and ship software independently using a library of reusable commands.

Questions to Help Users

"What specific problem or manual workflow are you trying to automate with this prototype?"
"Do you have a visual reference, such as a Figma screenshot or a hand-drawn sketch, to use as a starting point?"
"Does your prototype require a functional backend for data persistence and user authentication?"
"Which AI development tool best fits your current technical skill level and project needs?"
"What are the 2-3 core functional requirements that will define the success of this build?"
"How do you plan to use the final output: for user testing, internal alignment, or engineering handoff?"

Common Mistakes to Flag

Neglecting the planning phase - Jumping into implementation without a sequential task list leads to architectural confusion for the AI and broken logic.
Building static instead of functional - Missing the opportunity to test real data flows and hosting environments by settling for UI-only mocks limits validation.
Using the wrong tool for the task - Attempting complex state management in a simple visual builder when a professional local IDE is required for advanced debugging.
Vague initial prompts - Failing to provide enough context about the desired software stack and core features results in generic and unhelpful outputs.

Deep Dive

For all 40 sourced insights from 15 guests, see references/guest-insights.md

Related Skills

Writing Prds
Shipping Velocity
Building With Ai Agents
Product Tool Stack

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/artifacts.md54 KB
references/guest-insights.md36 KB

Frequently asked questions

What does the Ai Assisted Prototyping AI skill do?

Why use Ai Assisted Prototyping on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RefoundAI/lenny-skills/tree/main/skills/ai-assisted-prototyping. 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 Ai Assisted 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 Ai Assisted Prototyping?

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

Is the Ai Assisted Prototyping AI skill free?

Yes. It is published on GitHub by RefoundAI 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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Setup Matt Pocock Skills

mattpocock

CommunityPopular

Configure this repo for the engineering skills: set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.

Tdd

Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.

To Spec

Turn the current conversation into a spec and publish it to the project issue tracker: no interview, just synthesis of what you've already discussed.

To Tickets

Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker (edges as text in one file per ticket…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

AI-Assisted Prototyping

How to Help

Core Principles

Taste-Making through Functional Builds

Real-World Feature Validation

Planning Over Execution

Independent Shipping

Questions to Help Users

Common Mistakes to Flag

Deep Dive

Related Skills

Bundled files

Frequently asked questions

Related AI Skills

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