static-ads
Skill3 starsChanged 4 months agoNo licenceView on GitHub
Generate a batch of grounded static (image) ad concepts for any brand on the Advibly MCP and render them with gpt-image-2. Fifteen proven layout templates (headline statement, us vs. them, stat callout, review card, testimonial stack, before and after, problem and solution, founder message, feature or ingredient spotlight, press mention, lifestyle hero, numbered list, FAQ card, competitor callout, origin story), cycled across the whole batch so template diversity becomes angle diversity. Every concept pulls its copy from the brand's research brief, dossier, product catalog or the user's own reviews and cites the source; nothing is invented. Plans the batch in text first (template, headline, body, visual, grounding), gets approval, then renders one on-brand image per concept with the copy burned in, the real product attached as a reference for store brands, and delivers an index. Trigger whenever the user wants static ads, image ads, Meta or Instagram or LinkedIn or display ad creative, "static ad concepts", "ad templates", "a batch of ads", "50 concepts", "us vs them ad", "review card ad", "stat ad", "founder note ad", "before and after ad", "creative testing batch", "more ad variations", or asks to turn reviews or a brief into ad creative when the Advibly MCP is connected. Defaults: 15 concepts (one per template), 4:5, gpt-image-2 at high quality, on-brand.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- graphed-inc/marketing-skillstheir own version, first seen Oct 25, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- graphed-inc/marketing-skills★ 30same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository9 other files it gives its agents.
- claymation-adSkill
- collage-motionSkill
- explainer-videosSkill
- pixar-style-adSkill
- song-adSkill
- stickman-animationSkill
- ugc-adsSkill
- video-restyleSkill
- vox-explainerSkill
The file
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 5 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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