FreeSkillMedium riskv2.0.0-experimental

design-taste-frontend

Ship landing pages, portfolios, and redesigns with intentional art direction instead of generic AI patterns.

Taste Skill reads the brief, infers an appropriate design language, calibrates layout, motion, and density, and applies audit and pre-flight rules that reduce templated frontend output.

TASTE #taste-skill #tasteskill #frontend #landing-pages #portfolios #redesign #anti-slop #design-systems

Browse topics and task labels

Prompt or reference Build Edit Redesign Critique Design Review Text

Publisher: Leonxlnx/taste-skill
Source: tasteskill.dev
Category: TASTE

Overview

Who it is for: Builders using AI coding agents for marketing sites, portfolios, and frontend redesigns.
Not intended for: Dashboards, data tables, multi-step product UI, or final accessibility and brand approval.
Export formats: codex_skill, markdown_export
TASTE domain: ui_ux_taste

Sandbox comparison

Generic baseline vs design-taste-frontend on the same input, pinned to v2.0.0-experimental.

Sample input

gpt-4.1-mini · temp 0.2

Create a premium landing page from a short brief without producing a templated AI-style interface.

Generic baseline

45/100

Use a centered hero, purple gradient, rounded CTA buttons, three equal feature cards, and subtle animations.

Skill-enhanced

93/100

Design read: premium technical product for design-conscious buyers, using a restrained editorial system.
Dials: variance 7, motion 5, density 3.
Direction: asymmetric hero with one real product visual, a locked neutral-and-cobalt palette, and varied section layouts.
Pre-flight: keep the hero within one viewport, use one CTA label per intent, verify contrast and reduced motion, and remove decorative UI that carries no meaning.

Rubric

+48 lift

Brief-aware direction2 5

Layout distinctiveness2 5

Visual-system coherence2 5

Pre-flight completeness1 4

Assumptions

Sample input is representative of a real production task
Same model and temperature for baseline and skill-enhanced runs

Runs on registry sample cases through the shared, deterministic sandbox engine.

Usage

01Review the quality signals, limitations, and permissions on this page.
02Inspect upstream content and license before loading a package.
03Apply relevant guidance within your requested scope and verify the result.
04Agents can also read the machine-readable contract at /api/v1/skills/design-taste-frontend/manifest.

npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend"

Example prompts

Requests that put this skill to work.

Build a premium product landing page without defaulting to generic AI design patterns
Audit this portfolio before redesigning it, preserving the brand elements that already work
Infer a design direction and calibrate layout variance, motion, and visual density from this brief

Limitations

The default v2 ruleset is experimental and may change before the stable v2.0.0 release.
Its visual rules are contextual guidance and still require review against the product, brand, and audience.

Version history

v2.0.0-experimentalCurrentMay 2026
Experimental v2 rewrite with brief inference, design-system mapping, redesign audits, and a hard pre-flight check
v1.0.0Mar 2026
Original dial-driven anti-slop frontend skill, retained upstream as design-taste-frontend-v1

At a glance

GitHub stars: 70.4K
Release channel: v2 experimental
Evaluation: Registry example only
Last updated: Aug 3, 2026
Version: 2.0.0-experimental

Evidence

Source metadata and registry examples. Content and outcome quality require review.

Package validated
Benchmark tested
Taste calibrated
Creator reviewed

Permissions

Read filesRequired
Write filesRequired
Web accessNot needed
API accessNot needed
MCP accessNot needed
Code executionNot needed
External actionsNot needed

Environment fit

Runtime compatibility has not been verified.

Resources

Own this skill?

It is listed under Leonxlnx/taste-skill. Claim it to manage the listing after review.

False claims may result in permanent bans. Ownership transfer is never automatic.

design-taste-frontend

Ship landing pages, portfolios, and redesigns with intentional art direction instead of generic AI patterns.

Taste Skill reads the brief, infers an appropriate design language, calibrates layout, motion, and density, and applies audit and pre-flight rules that reduce templated frontend output.

Publisher

Leonxlnx/taste-skill

Source

tasteskill.dev

Overview

Generic baseline

Skill-enhanced

Rubric

Assumptions

Usage

Example prompts

Limitations

Version history

Related skills

ui-ux-pro-max

landing-page-taste-reviewer

find-skills

Overview

Generic baseline

Skill-enhanced

Rubric

Assumptions

Usage

Example prompts

Limitations

Version history

Related skills

ui-ux-pro-max

landing-page-taste-reviewer

find-skills