poster

name: poster namespace: user description: >- How to make a vivid, character-driven brand POSTER — a single still image, not a video. A generalized overlay on the art-director step: supplies the poster-as-landing architecture (top banner → massive beveled wordmark → chest-up hero photo → scattered vinyl-sticker collage → copy block → thin footer strip), the parameterized slot set (brand, exclamation word, hero, product, palette, original blob glyph, aesthetic register), the model stack (gpt-5.4-image-2 for crisp typography, gemini fallback), and the niche's failure modes. Works for ANY brand and ANY aesthetic the user names — Y2K streetwear, vaporwave, grunge zine, clean DTC — the skill supplies the layout know-how, the user supplies the subject + vibe. USE WHEN the user asks for a poster / flyer / drop poster / "poster-as-landing-page" / brand key-art / album-cover-style still / hype graphic, with no specific existing poster to reproduce. This is a content-niche craft-overlay SKILL (generalized), loaded on top of a poster-format template match — not a remix TEMPLATE (one specific poster). For "remix this exact poster but swap X", that is the remix path in docs/skills-vs-templates.md. For a moving video, match the video format / template and load the matching video craft-overlay skill (ugc-*).

Trigger

FIRES on a generic still-poster brief: "make a poster for ", "drop poster", "poster-as-landing-page", "flyer", "key art", "hype graphic", "album-cover style still", "merch drop announcement image". Any subject, any aesthetic — the skill is subject- and style-agnostic.

DO NOT FIRE when:

• The user points at one specific poster to reproduce (@template:<slug>, "remix this one", names a slug) → that is the remix path. See docs/skills-vs-templates.md.
• The user wants a moving video (the wordmark animates, the hero talks) → match the video format / template, load the matching video craft-overlay skill (ugc-*), and use the editor playbook, not this skill.
• The user pasted @guideline:<slug> for a register this poster sits in (photoreal humans, anti-AI-slop) → run ralphy guideline show <slug> first and fold its rules into the hero-photo slot.

What this skill is

A generalized layout overlay, not a finished poster. It does not name a brand, a hero, or a palette — it tells the art-director HOW this class of poster is built so a strong one comes out for whatever the user is promoting. It runs through ralphy generate image; it does not bypass the reference-required gate or the quality gate.

Hard invariants

• All generation routes through ralphy generate image (no raw API). Read MODELS.md before naming any model id — the stack below is a default, not a hardcode.
• The reference-required gate still fires for a named real entity in the hero or product slot (a real person, a recognizable branded product, an IP). A fictional brand + an original glyph + a generic product proceeds without a ref. Make the brand glyph explicitly ORIGINAL in the prompt ("NOT any existing brand") so the model does not drift toward a trademarked mark.
• The quality gate refuses, not warns — two failed scoreImage in a row → stop and report options.
• Real-brand pre-flight: site-grounding before any prompt. If the poster targets a real brand (user's own startup, a customer's site, any URL given), dispatch a Playwright sub-agent to crawl home + /docs + /pricing + /features + /examples BEFORE drafting the brand-DNA or prompt. Read artifacts/refs/research.md (the sub-agent's digest), not just a WebFetch of the home page. Every {{palette}} hex must trace to artifacts/refs/tokens.json; every named API symbol in body copy or code-creative slots must trace to "Documented API surfaces" in research.md. Full discipline + sub-agent prompt template: docs/playbooks/site-grounding.md. Skipping this cost sotaocr-fb-001 $1.20 + 5/32 hallucinated-SDK creatives.

The niche, in one paragraph

A poster-as-landing lives or dies on one massive readable wordmark plus a single character making eye-or-near-eye contact, glued together by DIY sticker-collage energy. The eye should land on the word, then the face, then bounce around 2-3 sticker accents, then read the copy. Crisp typography is the whole game — a smudged wordmark kills it instantly, which is why the model pick is typography-first, not consistency-first.

The fixed architecture (do not restructure — only fill the slots)

Top to bottom, every poster in this niche keeps this stack:

Finish layer (always on): subtle film grain + slight vignette + faint CRT warmth + vintage screen-print feel.

Slots (the only things that change between posters)

• {{brand}} + {{tagline}} + {{domain}} — the fictional (or user-owned) label.
• {{exclamation}} — the wordmark word. One short shoutable token.
• {{hero}} — person + wardrobe + expression. Vary age/gender/styling freely.
• {{product}} — the prop held at mouth level (lollipop, popsicle, soda can, mic, …). Keep it generic/unbranded unless the user owns the brand.
• {{palette}} — full-bleed background gradient (2 hex) + accent color (wordmark/headline) + bevel-shadow color + cream body color + linework charcoal + product color. Always state explicit hex.
• {{blob_glyph}} — an ORIGINAL hand-scrawled friendly creature (smiley blob, cyclops cloud, lopsided star). Lowercase brand word written inside it. State "NOT any existing brand."
• {{aesthetic}} — the register (Y2K skate-surf streetwear is the validated default; vaporwave, grunge zine, clean-DTC, arcade-90s all work on the same scaffold).

Model stack (verify against MODELS.md every run)

• Default — openai/gpt-5.4-image-2. Premium typography / label accuracy: the beveled wordmark, the small footer strip, and the 4 lines of body copy all read crisp. This is the whole reason it beats the consistency-first default for posters. Caps at 1 concurrent — serialize batches (--concurrency 1), never fire parallel poster gens on this model.
• Fallback — google/gemini-3-pro-image-preview. ~½ the latency and cheaper, tolerates ≥4 concurrent, but smudges small embedded typography (flipper postmortem; confirmed again on loud-kids-poster-001 — the 4-line body copy went soft). Use only for fast palette/composition exploration, then finalize the chosen variant on gpt-image.

Aspect ratio — solved, use --size

gpt-5.4-image-2 historically returned 1024² regardless of --size. As of the loud-kids-poster-001 session, ralphy generate image forwards image_config.aspect_ratio (derived from --size) to OpenRouter, and gpt-image honors it: --size 1080x1920 → a real 9:16 portrait (720×1280 native bucket). Pass --size 1080x1920 for a vertical landing poster, --size 1080x1080 for a square social post. Output lands on the model's nearest native bucket, not pixel-exact — pad/scale downstream if you need an exact frame.

Failure modes

• Parallel gpt-image gens → 403 "Key limit exceeded". Serialize (the 1-concurrent cap). Each gen also runs ~2.5-4 min.
• Gemini smudges the body copy + footer strip. Don't finalize a typography-heavy poster on gemini.
• Glyph drifts toward a real trademark (smiley brands, etc.) if you don't say "original, NOT any existing brand" — always include that clause.
• Too many stickers → the eye has nowhere to rest. Cap at 3, keep them at the edges of the hero.
• Wordmark + headline same color as a busy background → readability dies. The wordmark accent must contrast the gradient hard.

Worked example (validated 2026-05-27)

.ralphy/workspaces/<ws>/projects/loud-kids-poster-001/ holds three palette/hero/product variants built on this exact scaffold (BOOM/royal-blue+lollipop, DANG/coral-plum+popsicle, YIKES/lime-forest+soda) plus a 9:16 A/B (gpt-image vs gemini). The three prompt files (prompt-v1-boom.txt …) are the canonical filled-slot reference — read one before drafting a new poster prompt.

CLI cookbook

# Default poster, vertical 9:16, crisp typography
ralphy generate image --project <id> --slot poster-01 \
  --model openai/gpt-5.4-image-2 --size 1080x1920 --prompt "<filled scaffold>"

# Fast palette/composition exploration (finalize the winner on gpt-image after)
ralphy generate image --project <id> --slot poster-explore --variants 3 \
  --model google/gemini-3-pro-image-preview --size 1080x1920 --prompt "<...>"

# Square social-post cut of the same poster
ralphy generate image --project <id> --slot poster-01-sq \
  --model openai/gpt-5.4-image-2 --size 1080x1080 --prompt "<filled scaffold>"

Long prompts: write the filled scaffold to a .txt in the project dir and pass --prompt "$(cat file.txt)" — apostrophes in body copy break inline single-quoted shell strings.