taste

name	taste
description	Use for anti-slop frontend design: stronger layout variance, opinionated typography, motion direction, anti-AI-aesthetic guardrails. Pick the right sub-skill for the task at hand: redesign-skill for fixing existing UIs, brandkit for brand-board generation, imagegen-frontend-web for hero / landing comps, stitch-skill for Google Stitch DESIGN.md output. Not for backend-only or non-UI tasks.
license	MIT. Copyright (c) 2026 Leonxlnx. See LICENSE.

Taste

This is a collection skill. The actual implementation lives in sub-skills under skills/. This file is the top-level entry point so auto-discovery picks up the collection; individual sub-skills each carry their own SKILL.md frontmatter for direct invocation.

When to use which sub-skill

Sub-skill	When to use
taste-skill	Default all-rounder for premium frontend output without locking one narrow visual style.
gpt-tasteskill	Stricter variant for GPT/Codex: higher layout variance, stronger GSAP direction, aggressive anti-slop.
image-to-code-skill	Image-first pipeline: generate references, analyze them, then implement to match.
redesign-skill	Existing projects: audit the UI first, then fix layout, spacing, hierarchy, styling.
soft-skill	Polished, calm, expensive UI with softer contrast, whitespace, premium fonts, spring motion.
output-skill	When the model ships half-finished work: full output, no placeholder comments.
minimalist-skill	Editorial product UI (Notion / Linear vibes), restrained palette, crisp structure.
brutalist-skill	Hard mechanical language: Swiss type, sharp contrast, experimental layout. BETA.
stitch-skill	Google Stitch-compatible rules, including optional DESIGN.md export format.
imagegen-frontend-web	Website comps: hero, landing, multi-section with strong typography. Outputs IMAGES (no code).
imagegen-frontend-mobile	Mobile screens and flows: iOS / Android / cross-platform mockups. Outputs IMAGES (no code).
brandkit	Brand-kit boards: logo directions, palettes, type, identity applications. Outputs IMAGES.

Factory pipeline integration

Pipeline stage	Sub-skill invoked
Module 2D Phase 5a (winner pick + design spec)	image-to-code-skill to analyse captured reference pool
Module 2D Phase 6 (component generation)	taste-skill for general distinctive output
Module 2D Phase 12 Gate 4 (taste audit)	redesign-skill to flag generic-AI patterns
Stage 9 hero image (08-hero-image.md)	imagegen-frontend-web for hero composition reference
Stage 10.3 uplift (11-uplift.md)	taste-skill for premium polish moves

How to invoke

Read skills/<sub-skill-name>/SKILL.md directly. Each sub-skill is a standalone unit with its own frontmatter, allowed-tools list, and instruction body.

Do NOT load every sub-skill at once. Pick the one that matches the task based on the table above, then read only that file.

Source

Upstream: https://github.com/Leonxlnx/taste-skill Local README with full installation + examples: README.md (in this directory).