editorial-collage

Build a single-page editorial landing site (or a slide deck — see the sibling editorial-collage-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.

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)

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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.

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

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

2. Decide the image strategy

Strategy	When to choose	Cost / latency
placeholder	First pass. Demo. Slide internal. No image budget yet.	$0, <1s
generate	Final delivery. Brand wants original collages.	~$0.40, ~6 min
bring-your-own	User 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 (mirrors apps/landing-page/app/_components/reveal-root.tsx).
• Inline Headroom nav script (mirrors header.tsx).
• Inline GitHub star-count fetcher (auto-detects from brand.primary_url).

4. (Optional) Generate the Next.js scaffold

For deployable production output, fork the apps/landing-page/ module: copy it to your project root, swap the JSX in app/page.tsx for content from your inputs.json, and copy your <out>/assets/*.png into public/assets/. The Next.js variant supports next build → static out/ export ready for any CDN.

A future iteration will bundle a scripts/compose-nextjs.ts that emits the entire apps/landing-page/ tree from inputs.json so this step is one command. Until then, fork-and-edit is the supported path.

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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

skills/editorial-collage/
├── 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      # Open Design 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 (Open Design instance)
    ├── image-manifest.json  # slot → file/dimensions/prompt mapping
    └── imagegen-prompts.md  # human-readable prompt pack

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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 for the Next.js variant; copy styles.css verbatim into app/globals.css so visual parity stays one-to-one.

See also

• design-systems/atelier-zero/DESIGN.md — token spec.
• apps/landing-page/ — deployable Next.js counterpart.
• skills/editorial-collage-deck/ — sibling slides skill that reuses this design system.