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frontend-design-taste

frontend-design-taste is a skill for Claude Code, Codex from Kevin-Liu-01/Agent-Machines. It costs 79 tokens per session (3,143 once invoked), scanned A, original, MIT.

A design guide for building frontends with a deliberate visual direction instead of common, repetitive interface patterns. It provides choices for visual variety, motion, density, performance, and mobile layouts.

In plain words
What is it for?
Use it when creating landing pages, interface components, or design systems, or when deciding how an existing frontend should look.
Why use it?
Without clear design decisions, generated interfaces often converge on the same fonts, layouts, colors, and decorative effects. This guide helps set and enforce a distinct direction.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 29repo +4 today A scan SkillSpector: pass 79 tokens original MIT

Good fit Use it when creating landing pages, interface components, or design systems, or when deciding how an existing frontend should look.

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Install with agentmods
npx agentmods add skills/kevin-liu-01/agent-machines/frontend-design-taste
View source ↗ Kevin-Liu-01/Agent-Machines agent-machines.dev
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Kevin-Liu-01/Agent-Machines --skill frontend-design-taste
Clone the repo
git clone --depth 1 https://github.com/Kevin-Liu-01/Agent-Machines

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for frontend-design-taste

README.md
[![agentmods](https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/frontend-design-taste/github.svg)](https://agentmods.dev/skills/kevin-liu-01/agent-machines/frontend-design-taste)
Your own site
<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/frontend-design-taste"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/frontend-design-taste/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for frontend-design-taste

Your own site · 80×15
<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/frontend-design-taste"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/frontend-design-taste.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,143 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00079 $0.03143
Opus 5 $0.00039 $0.01571
Sonnet 5 $0.00016 $0.00629
Haiku 4.5 $0.00008 $0.00314

Measured 12d ago against content hash 7388376defd9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

frontend-design-taste scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

knowledge/skills/frontend-design-taste/SKILL.md · 283 lines

How it starts

The opening of the file, as written. The whole thing — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Frontend Design Taste — Anti-Slop Framework

Adapted from tasteskill.dev and Kevin's design wiki. For Sigil projects, also read .cursor/rules/taste-enforcement.mdc which enforces these rules at the Cursor level.

The Problem

LLMs default to the center of their training data: Inter font, generic card grids, blue accent, minimal animation, centered hero, blur blobs. The fix is not better prompting — it is providing a real design system with tokens, variance dials, explicit creative direction, and hard-banned patterns.

Variance Dials

Three numbers drive all downstream decisions. Defaults shown below — adapt dynamically based on user requests.

DESIGN_VARIANCE:  8  (1=Perfect Symmetry, 10=Artsy Chaos)
MOTION_INTENSITY: 6  (1=Static, 10=Cinematic)
VISUAL_DENSITY:   4  (1=Art Gallery, 10=Cockpit)

DESIGN_VARIANCE

  • 1-3: Flexbox justify-center, strict 12-column symmetrical grids, equal paddings.
  • 4-7: Overlapping margins (-mt-8), varied image aspect ratios, left-aligned headers over center-aligned data.
  • 8-10: Masonry, CSS Grid with fractional units (2fr 1fr 1fr), massive empty zones (pl-[20vw]).
  • MOBILE OVERRIDE: Levels 4-10 MUST collapse to single-column (w-full px-4 py-8) below md:.

MOTION_INTENSITY

  • 1-3: No automatic animations. CSS :hover and :active only.
  • 4-7: Fluid CSS transitions with cubic-bezier(0.16, 1, 0.3, 1). Cascade animation-delay for load-ins. Only transform and opacity.
  • 8-10: Scroll-triggered reveals, parallax, spring physics via Motion hooks. Never window.addEventListener('scroll').

VISUAL_DENSITY

  • 1-3: Art gallery. Huge section gaps. Expensive and clean.
  • 4-7: Standard web app spacing.
  • 8-10: Cockpit. Tiny paddings. No card boxes; border-t / divide-y only. font-mono for all numbers.

Before Generating UI

  1. Read ~/Documents/GitHub/kevin-wiki/wiki/design/design-system.md for current tokens
  2. Read ~/Documents/GitHub/kevin-wiki/wiki/design/aesthetic-systems.md for archetypes
  3. Choose an archetype (see below) before writing any component code
  4. Lock the six style variables
  5. If in a Sigil project: read .cursor/rules/taste-enforcement.mdc

Read the full file on GitHub · 283 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 283 lines · 79 tokens per session scan A 7388376defd9

Subscribe to this mod's changes

frontend-design-taste is a skill published in the GitHub repository Kevin-Liu-01/Agent-Machines (29 stars, last pushed today), licensed MIT. It adds 79 tokens to every session and 3,143 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

CSS and stylingClaude CodeDesign and UXFrontendai-agentcronhermes-agentmcpmicrovmmodel-context-protocol
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