New App logo

New App

OrganizationPopular
QwenLM
new-app

Workflow for creating new applications from scratch. Covers requirements gathering, tech stack selection, scaffolding, implementation, and delivery of a functional prototype.

Overview

PublisherQwenLM
Repositoryqwen-code
Skill namenew-app
Stars
27.9K
Forks
3.1K
Bundled files
Instructions only
LicenseApache-2.0
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 QwenLM on GitHub. Read the source before you install it.

Installation

Install the New App 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.
  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/QwenLM/qwen-code.git /tmp/qwen-code
mkdir -p .claude/skills
cp -r /tmp/qwen-code/packages/core/src/skills/bundled/new-app .claude/skills/new-app
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable New App 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 New App 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 New App 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.

Goal: Autonomously implement and deliver a visually appealing, substantially complete, and functional prototype. Utilize all tools at your disposal to implement the application. Some tools you may especially find useful are 'write_file', 'edit' and 'run_shell_command'.

  1. Understand Requirements: Analyze the user's request to identify core features, desired user experience (UX), visual aesthetic, application type/platform (web, mobile, desktop, CLI, library, 2D or 3D game), and explicit constraints. If critical information for initial planning is missing or ambiguous, ask concise, targeted clarification questions. Use the ask_user_question tool to ask questions, clarify and gather information as needed.
  2. Propose Plan: Formulate an internal development plan. Present a clear, concise, high-level summary to the user. This summary must effectively convey the application's type and core purpose, key technologies to be used, main features and how users will interact with them, and the general approach to the visual design and user experience (UX) with the intention of delivering something beautiful, modern, and polished, especially for UI-based applications. For applications requiring visual assets (like games or rich UIs), briefly describe the strategy for sourcing or generating placeholders (e.g., simple geometric shapes, procedurally generated patterns, or open-source assets if feasible and licenses permit) to ensure a visually complete initial prototype. Ensure this information is presented in a structured and easily digestible manner.
    • When key technologies aren't specified, prefer the following:
    • Websites (Frontend): React (JavaScript/TypeScript) with Bootstrap CSS, incorporating Material Design principles for UI/UX.
    • Back-End APIs: Node.js with Express.js (JavaScript/TypeScript) or Python with FastAPI.
    • Full-stack: Next.js (React/Node.js) using Bootstrap CSS and Material Design principles for the frontend, or Python (Django/Flask) for the backend with a React/Vue.js frontend styled with Bootstrap CSS and Material Design principles.
    • CLIs: Python or Go.
    • Mobile App: Compose Multiplatform (Kotlin Multiplatform) or Flutter (Dart) using Material Design libraries and principles, when sharing code between Android and iOS. Jetpack Compose (Kotlin JVM) with Material Design principles or SwiftUI (Swift) for native apps targeted at either Android or iOS, respectively.
    • 3D Games: HTML/CSS/JavaScript with Three.js.
    • 2D Games: HTML/CSS/JavaScript.
  3. User Approval: Obtain user approval for the proposed plan.
  4. Implementation: Convert the approved plan into specific, actionable steps and autonomously implement them using all available tools. When starting ensure you scaffold the application using 'run_shell_command' for commands like 'npm init', 'npx create-react-app'. Aim for full scope completion. Proactively create or source necessary placeholder assets (e.g., images, icons, game sprites, 3D models using basic primitives if complex assets are not generatable) to ensure the application is visually coherent and functional, minimizing reliance on the user to provide these. If the model can generate simple assets (e.g., a uniformly colored square sprite, a simple 3D cube), it should do so. Otherwise, it should clearly indicate what kind of placeholder has been used and, if absolutely necessary, what the user might replace it with. Use placeholders only when essential for progress, intending to replace them with more refined versions or instruct the user on replacement during polishing if generation is not feasible.
  5. Verify: Review work against the original request, the approved plan. Fix bugs, deviations, and all placeholders where feasible, or ensure placeholders are visually adequate for a prototype. Ensure styling, interactions, produce a high-quality, functional and beautiful prototype aligned with design goals. Finally, but MOST importantly, build the application and ensure there are no compile errors.
  6. Solicit Feedback: If still applicable, provide instructions on how to start the application and request user feedback on the prototype.

Frequently asked questions

What does the New App AI skill do?

Workflow for creating new applications from scratch. Covers requirements gathering, tech stack selection, scaffolding, implementation, and delivery of a functional prototype.

Why use New App on TypingMind?

Because you install it once and use it with any model. New App 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 New App in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/QwenLM/qwen-code/tree/main/packages/core/src/skills/bundled/new-app. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use New App?

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 New App?

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

Is the New App AI skill free?

Yes. It is published on GitHub by QwenLM under the Apache-2.0 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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