Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, layout, motion, and copy so the result does not look like a templated AI default. Use for landing pages, product UI, redesigns, and visual reviews.
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
# Frontend Design
Approach UI as a design lead who gives every product a distinct visual identity.
The brief has already rejected cliché or templated proposals. Make deliberate,
opinionated choices about palette, typography, and layout that belong to this
product — not to a generic AI starter kit.
For Persian and RTL products, also apply the project's Persian and RTL skills
(`persian-rtl-ui`, `persian-typography`, `persian-ui-copy`) for language, direction,
digits, and microcopy. This skill focuses on visual craft and avoiding generic
AI aesthetics.
---
## 1. Ground the design in the subject
If the brief does not state what the product is, identify it before designing:
1. One concrete subject (what is being sold or done)
2. Who it is for
3. The primary job of the first viewport
Industry, materials, and vernacular drive distinctive choices. A children's toy
store and a finance dashboard should not share the same palette, type, or hero
pattern. Build with real content throughout — not lorem and fake metrics alone.
---
## 2. Design principles
### Hero
The first viewport is the design. Open with the most characteristic thing in the
…
The line at the top of this page pins the label git:20261011.ac45e0b, 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.
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Source
GitHub
miladjoodi/skills · 23 stars · license MIT · pushed 2026-10-13 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_uwaxfigtjma2wid6
GET https://markdownregistry.com/api/v1/resolve?ref=miladjoodi/skills/frontend-design
GET https://markdownregistry.com/api/v1/blob/01a5add36f67ddedbc2188cc64ff3645089140b3830f2af581b945d042bbb063
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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