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Frame-Token Editorial Launch

Un seul jeu de tokens, tous vos assets, zéro dérive.

Un système de design tokens pour un lancement éditorial : auditez les écarts entre vos assets, définissez des tokens de cadre, de couleur et de typographie par rôle, reconstruisez chaque asset uniquement à partir des tokens et livrez une documentation pour que chaque changement futur se propage depuis un seul endroit.

Aperçu de Frame-Token Editorial Launch
Idéal pour
Designers de design systems, designers de marque et équipes éditoriales qui lancent sur de nombreux assets
Temps nécessaire
~60 min
Niveau
Avancé

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Contenu du pack

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

Frame-Token Editorial Launch

When to use

  • Launching an editorial product (magazine, newsletter, content brand) across many assets
  • Every launch asset looks slightly different: mismatched spacing, type sizes, colors
  • Handing a brand system to freelancers or a growing team
  • Preparing a design system where layout spacing should be as consistent as color
  • Rebranding an editorial site and its social, email, and print assets together

Workflow

  1. Audit what's inconsistent (input: existing assets → output: inconsistency list)
    Collect every launch asset (site, social templates, email, deck, print) and list where spacing, type, and color drift: measure actual values (margins, font sizes, hex codes). Group the drift into patterns: "five different page margins", "three near-identical blues". The audit decides which tokens you need.
  2. Define frame tokens (input: inconsistency list → output: frame token set)
    Frame tokens are the layout skeleton: page margins, column gutters, section spacing, card padding, image aspect ratios. Name them by role (frame.margin.page, frame.gutter.column, frame.space.section) and give each one value per breakpoint. Fewer tokens beat more: if two values are within a few pixels, merge them.
  3. Define color and type tokens (input: brand assets → output: color + type token sets)
    Color: semantic names (ink, paper, accent, muted) over raw values, each with light and dark values where needed. Type: a scale of sizes with line-heights, tied to roles (display, headline, body, caption), not to specific pages. Every token gets a name, a value, and a one-line usage rule.
  4. Build the launch kit (input: token sets → output: asset kit)
    Rebuild one of each asset type from tokens only: article page, social card, email header, deck title slide, poster. If an asset needs a value not in the token set, that's a signal: either add a token or change the asset — never hard-code a one-off.
  5. Document and hand over (input: launch kit → output: token documentation)
    One page per token family: name, value, usage rule, do/don't example. Include the update rule: tokens change in one place and propagate; nobody edits asset files to tweak a value. Ship the doc with the kit, not after it.

Output spec

  • Inconsistency audit: measured drift across assets, grouped by pattern
  • Frame tokens: margins, gutters, spacing, padding, aspect ratios — named by role, per breakpoint
  • Color tokens: semantic names + values (+ dark values where needed)
  • Type tokens: size/line-height scale tied to roles
  • Launch kit: one of each asset type built from tokens only
  • Token docs: name, value, usage rule, do/don't per token family + update rule

Good vs. bad examples

Aperçu du modèle

Frame-Token Editorial Launch — Token Set Template

Tokens describe decisions, not values. One place to change, everywhere propagates.

Inconsistency audit

Drift patterns: {e.g. five different page margins / three near-identical blues}

Frame tokens (layout skeleton — one value per breakpoint)

Color tokens (semantic names)

Type tokens (roles, not pages)

Launch kit (one of each, built from tokens only)

  • [ ] Article page — {file} — tokens used: {list}
  • [ ] Social card — {file} — tokens used: {list}
  • [ ] Email header — {file} — tokens used: {list}
  • [ ] Deck title slide — {file} — tokens used: {list}
  • [ ] Poster — {file} — tokens used: {list}

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

Pro — les 511 compétences

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