open-design-landing

name	open-design-landing
description	Produce a world-class single-page editorial landing site in the Atelier Zero visual language (Monocle / Apartamento / Études editorial collage) — the same aesthetic Open Design 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; a separate path can mirror the Astro marketing site in `apps/landing-page/`. Drop-in scroll-reveal motion and a Headroom-style sticky nav are wired automatically.
triggers	["landing page","落地页","editorial site","magazine layout","hero collage","atelier zero","open design landing"]
od	{"category":"brand-page","surface":"web","scenario":"marketing","audience":"founders, design studios, OSS maintainers","tone":"editorial, restrained, premium","scale":"viewport-anchored long-form single page","craft":{"requires":["pixel-discipline","typographic-rhythm"]}}
inputs	[{"id":"brand","label":"Brand identity","description":"Name, mark, tagline, location, languages, license, repo url.","schema_path":"./schema.ts#BrandBlock"},{"id":"nav","label":"Navigation links","description":"Up to 5 nav entries, each with optional count badge.","schema_path":"./schema.ts#NavLink"},{"id":"hero","label":"Hero copy + 3 stat rings + 4-step index","schema_path":"./schema.ts#HeroBlock"},{"id":"about","label":"Manifesto / about block","schema_path":"./schema.ts#AboutBlock"},{"id":"capabilities","label":"4 capability cards","schema_path":"./schema.ts#CapabilitiesBlock"},{"id":"labs","label":"5 lab cards + filter pills","schema_path":"./schema.ts#LabsBlock"},{"id":"method","label":"4 method steps with thumbnails","schema_path":"./schema.ts#MethodBlock"},{"id":"work","label":"2 selected-work cards on dark slab","schema_path":"./schema.ts#WorkBlock"},{"id":"testimonial","label":"Pull quote + author + 5 partner glyphs","schema_path":"./schema.ts#TestimonialBlock"},{"id":"cta","label":"Closing CTA + ribbon","schema_path":"./schema.ts#CTABlock"},{"id":"footer","label":"Brand description + 4 link columns + mega kicker","schema_path":"./schema.ts#FooterBlock"},{"id":"imagery","label":"Image strategy (generate / placeholder / bring-your-own)","schema_path":"./schema.ts#ImageryConfig"}]
parameters	{"output_format":{"type":"enum","values":["standalone-html","nextjs-app","both"],"default":"standalone-html","description":"`standalone-html` writes one self-contained .html (CSS inlined, scripts inline, images relative). `nextjs-app` is the historical enum label for cloning the Astro-based `apps/landing-page/` tree and wiring the same content. `both` writes both products into the output dir.\n"},"image_strategy":{"type":"enum","values":["generate","placeholder","bring-your-own"],"default":"placeholder","description":"`generate` calls gpt-image-2 (fal.ai or Azure) for all 16 slots. `placeholder` writes paper-textured SVG frames so the layout is fully visible without an image budget. `bring-your-own` assumes the user has dropped 16 PNGs at `imagery.assets_path` already.\n"},"image_provider":{"type":"enum","values":["fal","azure"],"default":"fal","description":"Provider for `image_strategy: generate`. fal.ai is faster."}}
outputs	[{"path":"<out>/index.html","when":"output_format in [standalone-html, both]","description":"Self-contained HTML with Atelier Zero CSS inlined."},{"path":"<out>/assets/*.jpg (or *.svg)","description":"16 collage assets, generated or placeholder per strategy."},{"path":"<out>/nextjs/","when":"output_format in [nextjs-app, both]","description":"Astro static tree mirroring apps/landing-page (folder name is historical)."}]
capabilities_required	["file-write","http-fetch","node-runtime"]
example_prompt	Build me an editorial landing page for "Lumen Field", an indie studio shipping a soundscape app for focus. Coral accent, Berlin coordinates, mention the iOS Beta TestFlight, three stats: 12 soundscapes / 4 presets / 1 daily ritual. Use the placeholder image strategy.

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 Open Design 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/      (JPG 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:

Group