aesthetic_skill
- Python
2
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill mamba-mental/agent-skill-manager --skill aesthetic- SKILL.md6.2 KB
Overview
This skill helps create aesthetically beautiful interfaces by applying proven design principles and repeatable workflows. It combines inspiration analysis, iterative image generation, micro-interaction guidance, and design documentation to ensure designs are both delightful and usable. Use it to shape visual systems, evaluate aesthetics objectively, and produce production-ready design guidelines.
How this skill works
The skill inspects screenshots and design images to extract style, layout, typography, color palettes, component patterns, micro-interactions, and accessibility issues. It integrates with chrome-devtools for captures, ai-multimodal for generation and analysis, and media-processing/ui-styling/web-frameworks for refinement and implementation. Iterative loops score outputs and drive targeted refinements until an aesthetic threshold is met.
When to use it
- Designing or redesigning UI/UX for web or mobile products
- Analyzing inspiration from Dribbble, Behance, Mobbin, or Awwwards
- Generating and iterating AI design images until professional standards are met
- Implementing visual hierarchy, color theory, typography, and spacing
- Adding micro-interactions and animation timing to improve perceived quality
Best practices
- Start by capturing high-quality full-screen screenshots of inspirations and document patterns
- Use objective aesthetic scoring (aim ≥ 7/10) and iterate on specific weaknesses
- Balance BEAUTIFUL aesthetics with RIGHT functionality and accessibility (WCAG)
- Apply SATISFYING micro-interaction rules (150–300ms, easing curves) sparingly
- Document color, typography, spacing, and component rules in a living design guideline
Example use cases
- Extract a color palette and typography system from a set of inspiration screens for a new product theme
- Generate several hero-section visuals with ai-multimodal, analyze scores, refine prompts and assets until acceptable
- Create a design system document that captures visual hierarchy, component behaviors, and accessibility rules
- Add and tune micro-interactions across a flow to improve perceived speed and delight
- Capture inspiration with chrome-devtools and produce a brief with predicted Google Fonts and hex palettes
FAQ
Use the objective aesthetic score and require a minimum threshold (recommended ≥ 7/10) plus verification of accessibility and functional requirements.
Can the skill recommend exact fonts?
It predicts likely font families and sizes (favoring Google Fonts when possible), but always validate with font tests and licensing checks.