Contenu du pack

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

AI Lab OG Image

When to use

• Your AI lab's shared links preview as a blank box, a cropped paper abstract, or a generic logo that says nothing about the research
• You are announcing a model, a paper, a benchmark, or a research result and want the link preview to carry the finding, not just the lab's name
• A blog post, release note, or docs page about the lab's work gets shared, and the preview does not distinguish it from any other page
• Your lab publishes often and needs one repeatable preview format that works for papers, releases, and posts alike
• A diagram from the paper keeps failing as a preview because its tiny labels and dense arrows turn to noise at thumbnail size

Workflow

1. Decide the one finding (input: the page → output: a one-line finding)
   A lab preview carries one finding or promise about what the work makes possible, in eight words or fewer — "A model that reads a full textbook," not "We are pleased to announce our latest advances in large-scale language modeling." Read the page and find the sentence a reader would repeat to a colleague; that is the preview line. If the page is a general lab homepage, the line is the lab's core promise; if it is a paper or release, the line is that work's result. A list of capabilities is not a finding, and a mission statement is not a finding — one concrete line is.
2. Pick the abstract motif (input: the finding → output: a single motif idea)
   Choose one abstract research gesture that embodies the finding without pretending to be the science: a constellation of nodes resolving into one clear pattern, concentric rings narrowing to a point, a branching tree collapsing into a single path, a wave flattening into a clean signal. The motif is a symbol, not a diagram — no axes, no equations, no architecture blocks, no tiny labels, no real model output. Draw it big and flat, in one or two colors, occupying roughly a third to a half of the canvas. A real paper figure crammed into 1200×630 reads as static at thumbnail size; one clean gesture reads as "serious research, clearly explained."
3. Set the type (input: finding + motif → output: the type layout)
   Set the finding in one large, bold typeface at a size that stays legible when the image is shown 240 pixels wide — few words, large size, generous line spacing. Put a small lab mark or name in one corner, never competing with the finding. Keep all text inside a safe margin (at least 60 pixels from every edge at 1200×630) because platforms crop previews differently, and keep essential text out of the bottom strip, where platforms overlay labels or play buttons. If the motif and the type compete for the same space, shrink the motif — the words carry the click.
4. Build to spec (input: type layout + motif → output: a finished 1200×630 image)
   Produce the image at exactly 1200×630 pixels, exported as a JPEG or PNG under 1 MB so it loads fast in crawlers. Use flat colors and bold shapes — silver nodes and one bright link-line on a dark field, for example — rather than photographic detail or fine lines, which turn to mush at thumbnail size. Check contrast between text and background: light text on a dark field or dark text on a light field, never mid-tone on mid-tone. Export once at full size and once at 240 pixels wide to verify the thumbnail read.
5. Verify the preview (input: finished image → output: a confirmed working preview)
   Wire the image into the page's social meta tags (the Open Graph image tag and its width/height companions) and check it with the platform's own link debugger or by pasting the link into a fresh post draft. Confirm three things: the image actually appears (not a cached old one), it is not cropped into unreadability, and the title and description beside it match the image's finding. If a stale preview persists, it is usually a cache — re-scrape the URL through the debugger rather than rebuilding the image.

Aperçu du modèle

AI Lab OG Image — Brief Template

One page = one preview. Fill this in before building the image.

Page: {page title + URL}

Page type: {lab homepage / paper / release / blog post / benchmark}

One finding (≤8 words)

> {the sentence a reader would repeat to a colleague}

Why this finding: {what the work actually shows}

Abstract motif

Gesture: {nodes resolving / rings narrowing / branches collapsing / wave flattening} What it symbolizes: {the finding, abstractly} Colors: {field color} + {motif color} (one or two flat colors)

Type layout

Finding type: {typeface, weight} — dominant, legible at 240 px wide

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

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