Open Design Landing logo

Open Design Landing

OrganizationPopular
nexu-io
open-design-landing

Produce a world-class single-page editorial landing site in the Atelier Zero visual language (Monocle / Apartamento / Études editorial collage) — the same aesthetic OpenDesign uses for its own marketing surface. The agent fills a typed `inputs.json` from a brand brief, optionally generates 16 collage assets via gpt-image-2, then runs a pure-function composer that emits a self-contained HTML file. Drop-in scroll-reveal motion and a Headroom-style sticky nav are wired automatically.

Overview

Publishernexu-io
Repositoryopen-design
Skill nameopen-design-landing
Stars
98.9K
Forks
11.5K
Bundled files
35
LicenseApache-2.0
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.

  • 35 bundled files

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

  • Open source

    Published by nexu-io on GitHub. Read the source before you install it.

Installation

Install the Open Design Landing 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/nexu-io/open-design/tree/main/design-templates/open-design-landing
  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/nexu-io/open-design.git /tmp/open-design
mkdir -p .claude/skills
cp -r /tmp/open-design/design-templates/open-design-landing .claude/skills/open-design-landing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Open Design Landing 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 Open Design Landing 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 Open Design Landing 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.

open-design-landing

Build a single-page editorial landing site (or a slide deck — see the sibling open-design-landing-deck skill) in the Atelier Zero design system: warm-paper background, Inter Tight + Playfair Display, italic serif emphasis spans, dotted hairline rules, coral terminating dots, scroll-reveal motion, and 16 surreal collage plates.

This is the canonical OpenDesign marketing-page recipe — the example output is the very page you see at open-design.

The skill is fully parameterized. The agent fills one typed inputs.json from the user's brief; the composer turns that JSON + the canonical styles.css into a deployable artifact.

text
inputs.json + styles.css                       16 image slots
        │                                            │
        └──────────► scripts/compose.ts ◄────────────┘
                            │
                            ▼
              <out>/index.html  (self-contained)
              <out>/assets/      (PNG or SVG)

What you get

A single HTML file with all of:

  • Editorial topbar (volume / issue / language strip), Headroom-style sticky nav with live GitHub star count.
  • 8 numbered Roman-numeral sections with paper-textured background: hero (with 3 stat rings + 4-step index), about, capabilities (4 cards), labs (5 cards + filter pills + progress bar), method (4 steps with thumbnails), selected work (dark slab + 2 tilted cards), testimonial (pull quote + 5 partner glyphs), CTA (ribbon + email pill).
  • Footer with 4 link columns + huge italic-serif kicker word.
  • Scroll-reveal motion on every section (IntersectionObserver, respects prefers-reduced-motion).
  • Fully responsive at 1280 / 1080 / 880 / 560 breakpoints.

Workflow contract

Run these four steps in order. The agent should complete each step before moving on, and prefer asking the user a focused question over inventing copy.

1. Gather brand inputs

Use AskQuestion (or the equivalent in your UI) to collect the brand brief in chunks; do not dump the entire schema.ts on the user. Map their answers into inputs.json matching the typed shape.

The eight question groups, in order:

GroupSchema fieldsMin answersNotes
1brand.{name,mark,tagline,description,location}5Mark = single glyph (Ø, ▲, ★…)
2brand.{license,version,year,primary_url,contact_email}4URL is required; license defaults Apache-2.0
3nav[] (up to 5)3Optional count badges
4hero.{label,headline,lead,primary,secondary,stats}AllHeadline as MixedText (sans+em+dot)
5about + capabilities.cards[4]All4 cards × {num,tag,title,body}
6labs.cards[5] + method.steps[4]AllBoth grids fixed-arity
7work.cards[2] + testimonialAll5 partner glyphs as inline SVG path data
8cta + footer.{columns[4],mega}AllMega kicker is a MixedText like the headlines

Open inputs.example.json for a complete worked example (OpenDesign itself).

2. Decide the image strategy

StrategyWhen to chooseCost / latency
placeholderFirst pass. Demo. Slide internal. No image budget yet.$0, <1s
generateFinal delivery. Brand wants original collages.~$0.40, ~6 min
bring-your-ownUser has art direction PNGs. Drop them at assets_path.$0, 0s

Set inputs.imagery.strategy accordingly.

placeholder — frame mode
bash
npx tsx scripts/placeholder.ts <out>/assets/

Writes 16 .svg files (with .png aliases for compatibility) into <out>/assets/. Each placeholder shows the slot id, ratio, pixel dimensions, and the prompt hint from image-manifest.json. The composer's <img src='./assets/hero.png'> etc. just work.

generate — gpt-image-2 mode
bash
FAL_KEY=... npx tsx scripts/imagegen.ts <inputs.json> --out=<out>/assets/

Calls fal.ai's openai/gpt-image-2 synchronous endpoint per slot. Composes prompts as: style anchor (paper-collage editorial system)

  • brand variables (name / nav / headline / italic emphasis pulled from inputs.json) + per-slot composition (e.g. cropped plaster head + tree growing through arch). Skips slots whose target file already exists; pass --force to re-render.

Without FAL_KEY, the script prints the prompts so the operator can route them through the /gpt-image-fal slash-command skill manually.

bring-your-own

Drop 16 PNGs matching assets/image-manifest.json filenames at inputs.imagery.assets_path. Done.

3. Compose the artifact

bash
npx tsx scripts/compose.ts <inputs.json> <out>/index.html

The composer reads inputs.json and ../styles.css, then writes one self-contained HTML file. The page includes:

  • The full Atelier Zero stylesheet, inlined.
  • All section markup with data-reveal attributes for staggered scroll motion.
  • Inline IntersectionObserver script for [data-reveal].
  • Inline Headroom nav script (mirrors header.tsx).
  • Inline GitHub star-count fetcher (auto-detects from brand.primary_url).

Self-check before delivering

Before marking done, the agent must verify:

  • <out>/index.html opens in a browser without console errors.
  • All 16 image slots load (no 404s in DevTools network tab).
  • Headline italic emphasis spans render in Playfair (not sans).
  • Coral terminating dots appear at every display h1/h2 end.
  • Scroll from top to bottom; every section animates in once.
  • Resize to 880px and 560px; no horizontal scroll, no overlap.
  • prefers-reduced-motion: reduce (DevTools → Rendering) disables transitions cleanly.
  • Lighthouse: contrast AA, font-display swap, no layout shift on the hero (CLS < 0.05).

Files in this skill

text
design-templates/open-design-landing/
├── SKILL.md                 # this contract
├── README.md                # quick-start
├── schema.ts                # typed inputs (single source of truth)
├── styles.css               # Atelier Zero stylesheet (single source of truth)
├── inputs.example.json      # OpenDesign as the worked example
├── example.html             # canonical rendering (regenerated from inputs.example.json)
├── scripts/
│   ├── compose.ts           # inputs.json + styles.css → index.html
│   ├── imagegen.ts          # gpt-image-2 wrapper (fal.ai)
│   └── placeholder.ts       # SVG paper-textured frames
└── assets/
    ├── *.png                # 16 collage plates (OpenDesign instance)
    ├── image-manifest.json  # slot → file/dimensions/prompt mapping
    └── imagegen-prompts.md  # human-readable prompt pack

Boundaries

  • Do not invent new colors or typefaces. Tokens live in design-systems/atelier-zero/DESIGN.md; extend the design system before adding a new ramp here.
  • Do not drop data-reveal attributes from generated markup. Without them the page goes static and feels dead.
  • Do not wrap the composed HTML in a framework that injects its own stylesheet ordering — Atelier Zero relies on stylesheet-order cascade for paper texture and z-index of side rails.
  • Do not add a separate stylesheet file that reorders Atelier Zero cascade; keep styles.css as the single visual source.

See also

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 Open Design Landing AI skill do?

Produce a world-class single-page editorial landing site in the Atelier Zero visual language (Monocle / Apartamento / Études editorial collage) — the same aesthetic OpenDesign uses for its own marketing surface. The agent fills a typed `inputs.json` from a brand brief, optionally generates 16 collage assets via gpt-image-2, then runs a pure-function composer that emits a self-contained HTML file. Drop-in scroll-reveal motion and a Headroom-style sticky nav are wired automatically.

Why use Open Design Landing on TypingMind?

Because you install it once and use it with any model. Open Design Landing 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 Open Design Landing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nexu-io/open-design/tree/main/design-templates/open-design-landing. 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 Open Design Landing?

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 Open Design Landing?

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

Is the Open Design Landing AI skill free?

Yes. It is published on GitHub by nexu-io under the Apache-2.0 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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