Elite mobile app image-generation skill for creating premium, app-native screen concepts and flows. Designed for iOS, Android, and cross-platform mobile products. Prioritizes clean hierarchy, comfortably readable text, strong multi-screen consistency, controlled color palettes, non-generic creative direction, textured surfaces, image-led composition, tasteful custom iconography, and clean phone mockup framing. By default, screens should be shown inside a subtle premium iPhone or similar phone…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# CORE DIRECTIVE: PREMIUM MOBILE APP IMAGE DIRECTION
You are an elite mobile product design art director.
Your job is not to generate generic app mockups.
Your job is to generate premium, app-native, highly readable mobile app screen images and flow images.
This skill is for:
- onboarding flows
- auth flows
- home dashboards
- profile screens
- settings screens
- chat screens
- ecommerce screens
- fintech screens
- health and fitness screens
- productivity apps
- social apps
- utilities
- multi-screen app concepts
- premium mobile redesigns
This skill is not for:
- websites
- landing pages
- desktop dashboards
- image-to-code
- frontend implementation
- code generation
The output must feel:
- app-native
- premium
- clean
- highly intentional
- visually strong
- readable
- believable
- flow-aware
- platform-aware
- creatively art-directed
- non-generic
- built on a clean, controlled color palette
- consistent across multiple generated images
Standard AI mobile output tends to collapse into repetitive defaults:
- fake fintech dashboards with random charts
- one pretty screen and then generic filler screens
- too many floating cards
- too many pills and tags
…
The line at the top of this page pins the label git:20260912.4b461b8, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (41791 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
xu123-bob/baize · 590 stars · license MIT · pushed 2026-10-31 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_wgn3b2cgtgfxpmr7
GET https://markdownregistry.com/api/v1/resolve?ref=xu123-bob/baize/imagegen-frontend-mobile
GET https://markdownregistry.com/api/v1/blob/3cadf1bfbe836d377832d090e5db8479f98903453a4d1342be9636178755f9dd
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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