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Fe Design

Community
Itskindastrange
fe-design

Anti-slop frontend design skill. Use this skill whenever the user asks to build, design, redesign, restyle, polish, or improve any web interface - landing pages, marketing sites, portfolios, dashboards, product UI, app shells, components, forms, or full applications. Also use when the user mentions making a site "look better", "more premium", "less AI-generated", or asks for any visual/UX work, even if they don't say "design" explicitly. Produces distinctive, production-grade interfaces that do not look templated or LLM-generated. Compiled from design-impeccable, emil-design-eng, and taste-frontend with conflicts pre-resolved.

Overview

PublisherItskindastrange
Repositoryfe-design-skill
Skill namefe-design
Stars
4
Forks
1
Bundled files
7
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Itskindastrange on GitHub. Read the source before you install it.

Installation

Install the Fe Design AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Itskindastrange/fe-design-skill/tree/main/skills/fe-design
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Itskindastrange/fe-design-skill.git /tmp/fe-design-skill
mkdir -p .claude/skills
cp -r /tmp/fe-design-skill/skills/fe-design .claude/skills/fe-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fe Design in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Fe Design on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Fe Design is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

fe-design: Compiled Anti-Slop Frontend Skill

One goal: ship interfaces nobody can identify as AI-generated. Neither the pixels (purple gradients, cream-and-brass palettes, eyebrow-label scaffolding) nor the words (em dashes, "seamless", aphoristic cadence) may scream LLM.

This skill is a build-time merge of three sources with precedence already resolved:

  • design-impeccable owns layout, spacing, typography, color, copy
  • emil-design-eng owns motion, easing, micro-interactions (wins ALL motion conflicts)
  • design-taste-frontend v2 owns landing-page direction, palette/font bans, design-system mapping

When bans collide, the strictest ban wins. Resolved decisions live in CONFLICTS.md; don't re-derive them.

Setup (every invocation)

  1. Read the project before designing: existing CSS tokens / theme / a representative component, and package.json. Never import a library without confirming it exists or outputting the install command first. Reuse committed brand colors and fonts; identity-preservation beats every ban below.
  2. Classify the task and load exactly ONE route reference:
Brief reads asLoad
Landing page, marketing site, portfolio, campaign, brand surface (design IS the product)reference/landing.md
Dashboard, product UI, app shell, admin, settings, tool (design SERVES the product)reference/product.md
Existing site/app to upgrade or restylereference/redesign.md first, then the matching register above
Analyze / audit / critique / "what's wrong" / "give me recommendations" / "roast this" / "how can I improve" — no code wantedreference/critique.md only — no code written
  1. If the task involves ANY animation, transition, or interaction work (it almost always does), also load reference/motion.md. Motion rules there override anything else.
  2. Before declaring any page done, run reference/preflight.md. Not optional.

The design read (before any code)

State in one line: "Reading this as: [page kind] for [audience], with a [vibe] language, leaning toward [aesthetic family or design system]." If the brief genuinely diverges between two directions, ask ONE question. Otherwise declare and proceed.

Then run the two-altitude reflex check:

  • First-order: could someone guess your theme + palette from the category alone ("cookware brief → cream and brass")? That's the training-data reflex. Rework.
  • Second-order: could someone guess your aesthetic from category-plus-avoidance ("AI tool that's not SaaS-cream → editorial serif + mono labels")? That's the trap one tier deeper. Rework until neither answer is obvious.

Always-on rules (apply to every route)

Copy (the text tells)

  • Zero em dashes (—) and zero en dashes (–) anywhere visible. Headlines, body, captions, buttons, alt text, quotes, attribution. Use periods, commas, colons, parentheses, or a plain hyphen. This is binary, not "use sparingly"; the model historically ignores soft limits here.
  • No marketing buzzwords: seamless, elevate, unleash, empower, supercharge, next-gen, cutting-edge, game-changer, world-class, transform, streamline. Pick a specific noun and a verb describing what the product literally does.
  • No aphoristic cadence as a default voice. If three or more copy blocks land on a short rebuttal-shaped sentence ("Serious tools. Not serious prices."), rewrite. Specific beats poetic.
  • No performative-craftsman labels ("Field notes", "From the bench", "Quietly trusted by"). Plain functional labels or none.
  • Button labels are verb + object ("Save changes", not "OK"). One label per intent per page: "Get in touch" + "Let's talk" on the same page is a fail.
  • Before shipping, re-read every visible string. Anything grammatically broken, referent-unclear, or cute-but-wrong gets replaced with a plain functional sentence.

Absolute visual bans (match and refuse, all registers)

  • Gradient text (background-clip: text + gradient). Solid color; emphasis via weight or size.
  • Side-stripe borders (border-left > 1px as colored accent on cards/callouts).
  • Glassmorphism as default decoration. Rare and purposeful, or nothing.
  • The hero-metric template (big number + small label + gradient accent).
  • Identical card grids (same icon + heading + text card repeated endlessly) and the 3-equal-cards feature row.
  • Tiny uppercase tracked eyebrow above every section, and numbered section markers (01/02/03) as default scaffolding. Mechanical cap: eyebrow count ≤ ceil(sectionCount / 3); if section A has one, the next two don't.
  • Pure #000000 and pure #ffffff as surfaces. Off-black, off-white.
  • AI-purple/blue glow aesthetic, neon outer glows, oversaturated accents (keep saturation < 80%, max 1 accent, locked across the whole page).
  • Emojis in code, markup, or visible text (icon-library glyphs instead) unless the user explicitly wants a playful chat-native vibe.
  • Div-built fake screenshots (fake task lists, fake terminals). Real screenshot, generated image, real component preview, or nothing.
  • Generic placeholder content: John Doe, Acme, Lorem Ipsum, 99.99%. Realistic names, contextual brand names, organic messy numbers (47.2%).
  • Custom mouse cursors. Scroll cues ("Scroll to explore", bouncing chevrons). Decorative status dots. Locale/weather strips. Version labels in heroes (BETA, v0.6) unless the brief is literally a launch.

Fonts (strictest-ban merge; see CONFLICTS.md)

Banned as picks: Inter, Roboto, Arial, Open Sans, DM Sans, Plus Jakarta Sans, Outfit, Space Grotesk, Space Mono, IBM Plex (all), Fraunces, Instrument Serif, Instrument Sans, Playfair Display, Cormorant (all), Lora, Crimson (all), Newsreader, Syne, DM Serif (all). These are training-data defaults; using them is how output converges to the monoculture.

Instead, run the selection procedure: write three concrete brand-voice words (physical-object words, not "modern"/"elegant"), browse a real catalog (Google Fonts, Pangram Pangram, ABC Dinamo, Klim, Future Fonts) with those words, and pick the font the brand would be as a physical object. Geist, Satoshi, Cabinet Grotesk are acceptable but rotate: never the same display font two projects in a row. Serif only when the brief is genuinely editorial/luxury/publication AND you can articulate why this serif fits this brand; never in dashboards. Emphasis inside a headline = italic/bold of the SAME family, never a random serif word injected into a sans headline. Cap families at 3 (display + body + optional mono); pair on a contrast axis, not two similar sans.

Color

  • Verify contrast mechanically: body ≥ 4.5:1, large text ≥ 3:1, placeholders 4.5:1, every CTA label against its button fill. Muted-gray-on-tinted-near-white is the #1 readability failure.
  • Pick a color strategy before colors: Restrained (neutrals + ≤10% accent), Committed (one saturated color carries 30-60%), Full palette (3-4 named roles), Drenched (the surface IS the color). Product floors at Restrained; brand surfaces have permission to commit. Name a real reference ("Klim orange drench", "Vercel monochrome") or ambition decays to beige.
  • The warm cream/sand/beige body background is the saturated AI default. Do not translate "warm/editorial/artisan" into near-white warm-tinted backgrounds. Banned premium-consumer reflex palette: cream/bone bg + brass/clay/oxblood accent + espresso text. Rotate alternatives: cold luxury (silver/chrome/smoke), forest (deep green/bone/amber), black-and-tan, cobalt+cream, terracotta+slate, monochrome+one saturated pop.
  • One palette, one gray family, one accent for the whole page. One theme for the whole page: no dark section sandwiched into a light page. Theme choice is never a default; write one sentence of physical scene (who uses this, where, what ambient light) and let it force the answer.
  • Use OKLCH for new token systems.

Layout

  • Hierarchy through scale + weight contrast (≥1.25 ratio brand, 1.125-1.2 product). Body line length 65-75ch. text-wrap: balance on h1-h3.
  • Cards only when elevation communicates hierarchy; otherwise borders/dividers/space. Nested cards always wrong.
  • Vary layout families: once a section layout is used, max once more per page; max 2 consecutive image+text zigzags. Semantic z-index scale, never 999.
  • min-h-[100dvh], never h-screen. Grid over flexbox percentage math. Explicit single-column collapse below 768px for every asymmetric layout.
  • Display heading ceiling clamp() ≤ 6rem; letter-spacing ≥ -0.04em.

Variety rotation (anti-monoculture)

This skill's own rules create a new uniform if followed lazily. Across consecutive projects, rotate: display font, palette family, hero paradigm, theme. If the previous project was Geist-on-zinc with an asymmetric split hero, this one is not. The pre-flight check asks for this explicitly.

Non-negotiables

  • prefers-reduced-motion alternative for every animation. Hover effects gated behind @media (hover: hover) and (pointer: fine).
  • Animate only transform and opacity (plus blur/clip-path when they earn it and stay smooth).
  • Interactive components ship all states: default, hover, focus-visible, active, disabled, loading (skeletons, not spinners), empty, error.
  • Semantic HTML, alt text with voice, focus rings, labels above inputs, error text below.

Out of scope

Data-table engines (TanStack/AG Grid), code editors (Monaco), native mobile (HIG/Material direct), realtime collab UI internals. Say so and point to the right tool. For deep single-purpose passes (critique scoring, live browser variant iteration), /design-impeccable critique|live still exists; this skill replaces the trio for build and redesign work.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Fe Design AI skill do?

Anti-slop frontend design skill. Use this skill whenever the user asks to build, design, redesign, restyle, polish, or improve any web interface - landing pages, marketing sites, portfolios, dashboards, product UI, app shells, components, forms, or full applications. Also use when the user mentions making a site "look better", "more premium", "less AI-generated", or asks for any visual/UX work, even if they don't say "design" explicitly. Produces distinctive, production-grade interfaces that do not look templated or LLM-generated. Compiled from design-impeccable, emil-design-eng, and taste-...

Why use Fe Design on TypingMind?

Because you install it once and use it with any model. Fe Design is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Fe Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Itskindastrange/fe-design-skill/tree/main/skills/fe-design. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Fe Design?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Fe Design?

As many as you like. As long as a model supports skills, you can use Fe Design with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Fe Design AI skill free?

Yes. It is published on GitHub by Itskindastrange under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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