K2F Idml — AI-Native Aesthetic Design

Purpose

content_and_design.md

Built on K2F

.K2F

npx skills add suzheng/k2f --skill k2f

When to Use

• New or refreshed brochures, magazines, catalogs, annual reports, program books, or brand lookbooks from briefs or draft copy.
• Restructuring long marketing copy into scannable editorial spreads before a designer refines in InDesign.
• Delivering native text and images to production—not a flattened PDF or full-page screenshot workflow.

Workflow

Step 1. Generate the content_and_design.md.

1. Publication scenario — Audience, occasion (launch, conference, retail shelf), reading mode (skim vs study), approximate page count, binding or fold (saddle, perfect, tri-fold), and what must stay verbatim (brand claims, legal, pricing). Drop stories that do not serve the scenario.
2. Document skeleton — Ordered parts: cover (and optional wrap), front matter (TOC, letter, credits), body sections/chapters, back matter (index, colophon, contact). Note which spreads are opening, feature, text-heavy, gallery, or closing so rhythm is not uniform page-to-page.
3. Content inventory — Per spread or section, list blocks with stable ids and roles: display headline, deck/subhead, body (with approximate word budget), pull quote (+ attribution), sidebar/fact box, figure (+ caption + credit), table (title + column semantics), label/caption, CTA or contact strip. Mark must-run user copy vs agent-drafted placeholders the user must replace.
4. Information architecture — One dominant idea per opening spread; support with secondary blocks, not competing headlines. Sequence: hook → proof → detail → action. Pair every figure with caption on the same spread; keep related sidebar beside the paragraph it annotates. For catalogs, group by category with consistent product fields (name, spec, price, SKU)—do not mix narrative essays between SKU grids.
5. Design intent — Tone (luxury quiet, newsroom energetic, institutional sober), typographic hierarchy (display vs deck vs body vs caption sizes and weights—relative, not points), density (airy feature spreads vs tight reference pages), column intent (single narrative column vs multi-column body vs full-bleed hero), color (dominant neutrals + one accent for rules, labels, CTAs), imagery (subjects, crop style, negative space, when text overlays photo vs sits beside). State contrast target (readable captions on photos; no low-contrast gray body).

• Spread thinking: plan left–right pairs as a unit; avoid orphan headlines at the foot of a spread.
• Role discipline: each block has one role; do not stack three headline-sized lines without a clear primary.
• Word budgets: cap body per spread; move overflow to the next spread or a sidebar—never shrink type in the blueprint.
• Verbatim gate: trademarks, disclaimers, prices, and legal lines only from user sources.
• Designer handoff: prefer editable text and discrete figures over describing “designed as one image.”

• Slide-deck pacing (title + bullets every page) → assign editorial roles and varied spread types.
• Uniform template fatigue → alternate feature, text, and gallery spreads.
• Captions separated from figures → lock figure+caption pairs in the inventory.
• Missing entry points → add pull quotes, decks, or section openers for skimmers.
• Generic stock-photo direction → specify subject, mood, and crop per slot.
• Catalog noise → separate storytelling spreads from SKU grids; consistent field order.
• Invented prices, awards, or compliance text → flag gaps; never fabricate.

• Skeleton lists every major part; each body section has spread roles assigned.
• Every figure/table has caption, credit when needed, and same-spread pairing.
• Headlines are unique and ranked (one primary per spread).
• Word budgets sum to the stated page count without cramming.
• Verbatim copy is quoted or flagged; no silent invention of legal or pricing.
• Design intent covers tone, type roles, density, columns, color, and imagery without coordinates.
• Closing spread delivers the scenario CTA (contact, QR context, next step).

Step 2. Use the content_and_design.md and k2f skill to generate a K2F file and export to an appropriate file format.