visual-system-review

Solid

Use to evaluate visual consistency, hierarchy, and design-system adherence — typography, color, spacing, density, tokens.

Code & Development 328 stars 19 forks Updated yesterday MIT

Install

View on GitHub

Quality Score: 87/100

Stars 20%
84
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
93
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Visual System Review Check that visual choices serve the user and match (or extend, deliberately) the existing design language. ## What to evaluate 1. **Hierarchy.** Does the eye go to the right place first? Does importance match visual weight? 2. **Consistency.** Are buttons, inputs, spacing, and typography drawn from the existing system, or invented locally? 3. **Information density.** Is the screen too quiet or too noisy for its purpose? 4. **Copy fit.** Does the text fit the container at the longest realistic length? At the shortest? 5. **Contrast and readability.** Does it work for users with vision impairments and on small screens? 6. **Affordances.** Are interactive elements obviously interactive? Are read-only elements clearly not? ## Token discipline Visual choices should resolve to tokens, not magic numbers: - **Typography:** a defined scale (xs/sm/base/lg/xl…), 2–3 weights max, line-height 1.1–1.3 for headings, 1.5–1.7 for body. - **Spacing:** a defined scale (4px or 8px base). Component padding 16–24px, section gaps 32–64px, icon-text gap 8px. - **Color:** semantic roles (primary, success, warning, error, neutral 50–900). Contrast ≥ 4.5:1 for body, ≥ 3:1 for large text and UI components. - **Icons:** a defined size scale (12/16/20/24/32). One stroke-weight family. When a token is missing for something that should have one, flag it as a design-system gap, not just a local issue. ## Subtraction default For every element, ask: does this earn its pixels? If...

Details

Author
getcrew44
Repository
getcrew44/crew44
Created
4 weeks ago
Last Updated
yesterday
Language
Go
License
MIT

Similar Skills

Semantically similar based on skill content — not just same category