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open-design-landing

Create a single-page editorial landing site from a brand brief, using paper textures, collage imagery, and structured content sections. The output includes responsive layouts, scroll animations, and sticky navigation, with generated, placeholder, or supplied images.

OriginalShow the original description

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.

AI rating80/ 100See how to install

Good for

  • Building an editorial landing page for a brand
  • Presenting a studio's services and selected work
  • Previewing a page with placeholder images
  • Creating a page with original or supplied collages

Overview

What it does

open-design-landing turns a brand brief into a long, magazine-style landing page. It uses Atelier Zero paper textures, typography, and collage treatments to arrange introductory copy, services, production steps, selected work, testimonials, and contact links. The page includes layouts that adapt to screen width, scroll-reveal animation, and navigation that follows scrolling.

When it helps

Use it to introduce a studio, personal brand, or service through text and images. Its 16 image slots can use placeholders, generated images, or supplied PNG files. This supports reviewing the page structure first and preparing the final images afterward. It also suits a studio page that brings services and past projects together.

Example requests

  • “Build a page introducing a focus soundscape app, with coral accents and placeholder images.”
  • “Use my brand description and selected projects to build a page with the collage images I provide.”

Notes

File-writing permission and a Node environment capable of running tsx or a compatible tool are required. Generating images requires communication with an external service; the documented fal.ai script uses FAL_KEY. CSS and scripts are included in the HTML, while images are written to a separate assets folder.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Objective evaluation

AI rated this skill on four points using only the contents of its SKILL.md. Stars and popularity are not taken into account.

Clear instructionsIs it clear when to use it and what it does?
AGoodThe material specifies creating editorial pages from brand briefs and choosing an image strategy.
Concrete stepsAre steps, inputs, outputs, and examples spelled out?
AGoodQuestion groups, the inputs.json structure, and output paths for HTML and images are specified.
SafetyAre sending data, deleting files, and running commands disclosed?
BPartly lackingFile writes and external image-generation requests are declared, but overwrite confirmation is not documented.
Easy setupDoes it need few tools or API keys, and are they documented?
BPartly lackingA Node runtime and image-generation providers are identified, but installation instructions are not supplied.

The total counts each point as A = 25, B = 15, C = 5. Rated by AI (OpenAI Codex) as of Oct 20, 2026. Treat it as a guide and read the original before installing.

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Files included (37)

  • SKILL.md12.0 KB
  • assets/about.png1.8 MB
  • assets/agents/anthropic.svg301 B
  • assets/agents/deepseek.svg2.1 KB
  • assets/agents/gemini.svg421 B
  • assets/agents/minimax.svg397 B
  • assets/agents/moonshot.svg280 B
  • assets/agents/openai.svg1.6 KB
  • assets/agents/qwen.svg825 B
  • assets/agents/xai.svg309 B
  • assets/agents/xiaomi.svg279 B
  • assets/agents/zhipu.svg270 B
  • assets/capabilities.png1.8 MB
  • assets/cta.png1.9 MB
  • assets/hero.png2.0 MB
  • assets/image-manifest.json3.9 KB
  • assets/imagegen-prompts.md9.7 KB
  • assets/lab-1.png1.2 MB
  • assets/lab-2.png1.3 MB
  • assets/lab-3.png1.3 MB
  • assets/lab-4.png1.2 MB
  • assets/lab-5.png1.1 MB
  • assets/method-1.png1.1 MB
  • assets/method-2.png1.1 MB
  • assets/method-3.png982.6 KB
  • assets/method-4.png993.6 KB
  • assets/testimonial.png1.7 MB
  • assets/work-1.png1.2 MB
  • assets/work-2.png1.3 MB
  • example.html108.3 KB
  • inputs.example.json19.7 KB
  • README.md4.8 KB
  • schema.ts13.0 KB
  • scripts/compose.ts28.9 KB
  • scripts/imagegen.ts13.7 KB
  • scripts/placeholder.ts7.6 KB
  • styles.css49.5 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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.

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

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

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

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

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

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