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Vibe Coding

Community
cnfeat
vibe-coding

Help users build software using AI coding tools. Use when someone is using AI to generate code, building prototypes without deep technical skills, or exploring how non-engineers can create functional software through natural language.

Overview

Publishercnfeat
Repositorytop-pm-skills
Skill namevibe-coding
Stars
55
Forks
6
Bundled files
1
LicenseMIT
Links
Skill sourceRepository
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cnfeat on GitHub. Read the source before you install it.

Installation

Install the Vibe Coding 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/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/vibe-coding
  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.

Use it in TypingMind

Enable Vibe Coding 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 Vibe Coding 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 Vibe Coding 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.

Vibe Coding

Help the user build software using AI tools and natural language, using frameworks and insights from 3 product leaders.

How to Help

When the user asks for help with vibe coding:

  1. Understand the goal - Ask what they're trying to build and who it's for (prototype, internal tool, production app)
  2. Guide the approach - Help them break down the problem into smaller pieces for iterative AI prompts
  3. Set expectations - Discuss what vibe coding is good for (prototypes, MVPs) versus when professional engineering is needed
  4. Coach on iteration - Help them understand how to refine output through follow-up prompts

Core Principles

Vibe coding is a new skill

Elena Verna: "I vibe code myself so I would put that as even as a skill on my resume now." This is a distinct, transformative skill for non-technical roles - PMs, marketers, designers - to build functional software using natural language.

Replace Figma with prototypes

Kevin Weil: "Instead of showing stuff in Figma, we should be showing prototypes that people are vibe coding over the course of 30 minutes to illustrate proofs of concept." Functional code prototypes can be built in the time it takes to create static mockups.

Build tools to build tools

Alexander Embiricos: "They'll vibe code an animation editor and then they use the animation editor to build the animation." Non-engineers can now build functional software and custom tools without deep technical mastery.

Go beyond prompt engineering

Vibe coding is not just writing prompts - it's iteratively building functional software through conversation with AI. It requires understanding how to break problems down, test outputs, and refine through follow-up.

Know the limits

Vibe-coded software is great for prototypes, internal tools, and MVPs. Production-grade systems with complex requirements still need professional engineering review.

Questions to Help Users

  • "What are you trying to build, and who will use it?"
  • "Is this a throwaway prototype or something that needs to scale?"
  • "Can you break this down into smaller pieces to build incrementally?"
  • "What's the simplest version that would let you test your hypothesis?"
  • "Have you tried describing what's not working and asking the AI to fix it?"
  • "Do you need this to be production-grade, or is it okay if it's rough?"

Common Mistakes to Flag

  • Trying to build everything at once - Break complex projects into smaller, iterative builds
  • Not testing the output - Always run and test what the AI generates; don't assume it works
  • Expecting production quality - Vibe-coded apps are great for validation but may need engineering for production
  • Unclear specifications - The clearer your description of what you want, the better the output
  • Giving up after one try - Vibe coding is iterative; refine through follow-up prompts

Deep Dive

For all 3 insights from 3 guests, see references/guest-insights.md

Related Skills

  • Writing PRDs
  • Usability Testing
  • Building with LLMs
  • Shipping Products

Bundled files

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

Frequently asked questions

What does the Vibe Coding AI skill do?

Help users build software using AI coding tools. Use when someone is using AI to generate code, building prototypes without deep technical skills, or exploring how non-engineers can create functional software through natural language.

Why use Vibe Coding on TypingMind?

Because you install it once and use it with any model. Vibe Coding 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 Vibe Coding in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/vibe-coding. 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 Vibe Coding?

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 Vibe Coding?

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

Is the Vibe Coding AI skill free?

Yes. It is published on GitHub by cnfeat 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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