What is the imagegen-frontend-mobile skill?
Imagegen-frontend-mobile is a SKILL.md in the taste-skill repository that makes an AI agent with image generation produce mobile app screens and flows, not code. It sets a platform mode, a consistent design system across screens, safe-area awareness, readable text and a clean phone mockup frame.
Imagegen-frontend-mobile is a skill in the leonxlnx/taste-skill repository for generating mobile app screen images. The README groups it with the image-generation skills: it outputs pictures only, so you pair it with ChatGPT Images or a similar generator and then hand the frames to a coding agent.
The SKILL.md states what it is for, including onboarding, auth, dashboards, profiles, settings, chat, ecommerce, fintech and health screens. It also lists what it is not for: websites, landing pages, desktop dashboards, image-to-code and code generation.
What changes in your agent's output
- The agent decides a platform mode first: iOS-native, Android-native or cross-platform neutral, and stays coherent within one.
- A request for a flow returns several distinct screens, not one collage with tiny text, and unclear details get a fresh detail render instead of a crop.
- Screens sit in a clean, evenly padded phone mockup by default, with the content as the hero.
- All screens in a set share one design system, palette and type mood, and the flow follows a logical order.
- Text stays comfortably readable, safe areas and navigation are respected, and generic AI tells are avoided.
How the skill keeps a set of screens consistent
Before generating, the agent locks an internal design bible covering palette, type mood, components and image treatment. It then reuses it across every screen, varies composition from screen to screen, and keeps one device style and scale for the whole series.
Who the imagegen-frontend-mobile skill is for
Best for
- Designers and founders exploring app concepts before any code exists.
- Onboarding and auth flow concepts that need varied but consistent screens.
- Teams that want reference frames to hand to a coding agent.
Not for
- Websites and landing pages. imagegen-frontend-web covers web design references.
- Writing code. For a code-writing design skill, see design-taste-frontend.
- Choosing a visual system from scratch. Pair it with a style guide such as ui-ux-pro-max.
How to install Imagegen Frontend Mobile Skill: App Screen Mockups
git clone https://github.com/leonxlnx/taste-skill.gitClone the repository
Run
git clone https://github.com/leonxlnx/taste-skill.git.Copy the skill folder
Copy
skills/imagegen-frontend-mobileinto the folder where your agent loads skills. The folder holds a single SKILL.md.Use an image-capable setup
The skill generates images only. The README suggests ChatGPT Images, Codex image mode or any agent that can generate images.
Ask for screens
Name the app, the platform and the number of screens, for example a five-screen onboarding and sign-in flow for a budgeting app.
Check that it loaded
Ask for a three-screen onboarding flow. You should get three separate images, one shared look, matching phone frames with even margins, short copy and text that is readable at normal size.
Key features
- Platform mode ruleChoose iOS-native premium, Android-native premium or cross-platform premium neutral first, and do not mix iOS and Android patterns carelessly.
- Screen-first ruleThe deliverable is screen images or a screen set. The skill says not to answer with text only or describe what an app could look like.
- Enough screens ruleGenerate as many screens as the flow needs. One screen for one, three for three, and several for an onboarding or auth flow.
- No cropping old imagesWhen a screen needs a closer look, generate a fresh standalone screen or detail render instead of cropping a larger collage.
- Design bible and consistencyThe agent locks an internal design bible, so palette, type mood and components stay the same across every screen in a set.
- Default phone mockupScreens appear in a clean device frame with even margins, consistent scale and soft shadows, and the frame never overpowers the content.
- Onboarding and first screen rulesOnboarding screens must differ in composition, copy stays short, and the first visible screen is kept especially clean.
- Safe area and navigation rulesThe skill requires safe-area awareness, clear tab or bottom navigation logic and a mobile hierarchy instead of a website inside a phone.
- Texture, imagery and palette disciplineArt-directed imagery, tasteful textured surfaces, image-behind-text with protected readability, and a clean controlled palette that avoids default purple-blue.
- 27-point quality checkBefore output the agent checks readability, flow logic, consistency, mockup framing, palette and more, and refines weak screens instead of accepting them.
Frequently asked questions
What is the imagegen-frontend-mobile skill?
It is a SKILL.md in the taste-skill repository that directs an AI agent to generate mobile app screen images and flows. It sets a platform mode, a locked design system, safe-area and navigation logic, readable text and a phone mockup frame. It does not write code.
How do I install imagegen-frontend-mobile?
Clone leonxlnx/taste-skill and copy the skills/imagegen-frontend-mobile folder into your agent's skills location. The README lists imagegen-frontend-mobile as the install name. The agent you use also needs a way to generate images.
Does imagegen-frontend-mobile write code?
No. The skill states that it generates images only and tells the agent not to switch into coding mode or build SwiftUI, React Native, Flutter or HTML. Hand the generated frames to a coding agent for implementation.
What platforms does it support?
It supports iOS-native, Android-native and cross-platform neutral looks. The agent picks one platform mode first. For iOS it favors clean top areas and tab-bar clarity, and for Android it favors stronger component rhythm and bottom navigation clarity.
How many screens will it generate?
As many as the flow needs. The skill says not to be lazy with screen count: a request for five screens returns five images, and an onboarding or app concept returns a meaningful set instead of one isolated hero mockup.
Which AI agents can use it?
The README says to pair the image skills with ChatGPT Images or similar generators, then hand frames to Codex, Cursor or Claude Code. You can also attach or paste the skill into ChatGPT or Codex. It lists no per-agent matrix.
What license does the skill use?
The taste-skill repository uses the MIT license, as GitHub shows. The install count of 321.7K on this page comes from a third-party skills listing and is not stated in the repository.