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Social Cover

Des couvertures de publication avec 3 recettes de composition — prêtes à l'emploi

La direction artistique des couvertures sociales : marges de sécurité, hiérarchie typographique des titres, trois recettes de composition, plus un squelette de prompt réutilisable pour générer vos images.

Aperçu de Social Cover
Idéal pour
Marketeurs de contenu, créateurs
Temps nécessaire
~10 min par couverture
Niveau
Accessible aux débutants

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Preuves concrètes

Des personnes réelles ont accompli exactement ce travail avec des agents IA.

Contenu du pack

Un fichier SKILL.md (le guide pratique) + un modèle de départ. Aperçu :

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

  1. 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."
  2. 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.
  3. 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).
  4. 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.
  5. 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.
  6. 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.

Aperçu du modèle

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)

Le pack de compétence lui-même (SKILL.md + modèle) est rédigé en anglais.

Pro — les 511 compétences

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