Social Cover
Cover für Posts mit 3 Kompositionsrezepten — sofort einsatzbereit
Art Direction für Social-Media-Cover: sichere Ränder, klare Titelhierarchie, drei Kompositionsrezepte plus ein wiederverwendbares Prompt-Gerüst für die Bildgenerierung.

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Beweise aus der Praxis
Echte Menschen haben genau diese Aufgabe mit AI-Agenten erledigt.
Build a paid ad campaign from scraped brand and competitor data
Anwendungsfall ansehen →AnwendungsfallRun marketing operations with a team of subagents
Anwendungsfall ansehen →AnwendungsfallRun a company Reddit presence with a bot
Anwendungsfall ansehen →Was ist enthalten
Eine SKILL.md (die Anleitung) + eine Startvorlage. Eine Vorschau:
Social Cover
When to use
- The user is publishing a WeChat official-account post and needs a cover image (often asks "what size, and where does the title go?").
- The user is posting to Xiaohongshu/Douyin and needs a 3:4 portrait cover, worried the title will be hidden behind the system UI.
- The user is posting to Weibo/X/Jike and needs a 16:9 or 1:1 image with a "click-worthy" look.
- The user runs a course/event/podcast and wants a consistent set of covers (define one spec, reuse it).
- The user already has a base image and needs the headline overlaid with safe margins to make a usable cover.
Workflow
- Lock platform and size (input: publishing platform → action: look up the spec table → output: confirmed canvas spec)
Ask where it will be published first, then set the canvas: WeChat post cover 2.35:1 (e.g. 900×383),
Xiaohongshu 3:4 portrait (e.g. 1080×1440), Weibo/X 16:9 (e.g. 1200×675),
square 1:1 (e.g. 1080×1080). Do one platform per image — no "one image for every platform." - Split the headline into three levels (input: article topic/title → action: three-level split → output: three-level copy)
Main headline ≤ 12 Chinese characters (one-sentence hook; suspense is fine, clickbait is not),
sub-headline ≤ 20 characters (say what it's actually about), plus an optional garnish tag
(e.g. "Episode 3", "field-tested"). If the copy can't be locked down, get the user to decide the words first —
the image comes second. - Pick a composition pattern (input: three-level copy → action: choose one of three → output: composition plan)
Pattern A, centered: main headline as big centered type, generous whitespace, best for opinion/insight pieces;
Pattern B, split columns: text left / image right (or vice versa), best for product/person introductions;
Pattern C, stacked layers: image on the top 1/3, colour block + text on the bottom 2/3, best for events/courses.
Mark the safe margins in the plan: keep 8–10% of each edge free of key text,
and for Xiaohongshu leave 12% top and bottom (against the top bar and bottom caption overlay). - Set the colour mood (input: content emotion → action: pick colours → output: hex palette)
Emotion first, then colours: celebratory/promo → reds/oranges; professional insight → deep blue/ink;
fresh lifestyle → off-white/pale green. One primary + one accent + one text colour is enough —
white text on dark backgrounds, dark grey/black text on light ones. Contrast guaranteed. - Write the image-gen prompt (input: spec + copy + composition + palette → action: fill the template.md skeleton
→ output: complete prompt)
Write the prompt in English (image models handle English more reliably). It must include: canvas ratio,
composition pattern, colour hex values, and a note on where to leave whitespace; Chinese headline text is always
marked "leave blank space for title text, no text in image" — titles are overlaid afterwards,
never trust the model to get Chinese right in one pass. - Generate and self-check (input: prompt → action: generate + verify → output: finished image or fix list)
Check four things: ① no key element pushed outside the safe margins; ② the title area has enough
whitespace for the overlay; ③ no garbled text or extra-finger-style AI giveaways; ④ still clear at thumbnail
size (covers are often shrunk on phones). If any check fails, go back to step 5 and regenerate —
never settle.
Vorschau der Startvorlage
1. Composition checklist (pick one of three before starting, tick to confirm)
Platform size cheat sheet
- [ ] WeChat post cover: 2.35:1 (e.g. 900×383), watch out for rounded-corner cropping
- [ ] Xiaohongshu/Douyin cover: 3:4 portrait (e.g. 1080×1440), 12% safe zone top and bottom
- [ ] Weibo / X / Jike image: 16:9 (e.g. 1200×675)
Das Skill-Paket selbst (SKILL.md + Vorlage) ist auf Englisch verfasst.


