Create copy variations from an approved static ad by changing hooks, headlines, or fonts while keeping its scene. Each version is checked and filed with the parent ad, ready to compare as text options within one flexible ad.
Step of the make-static-ads playbook: after an image is approved, makes more versions of the same picture with different hooks, headlines or fonts by a quoted re-render with the approved render attached as the brand's own image, so copy can be tested without new visuals. Offered, never default. Run make-static-ads instead; not for direct use.
Run score Not tested
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When to offer: as a hook test on a winner — after the review (Step 8), for the one or two images the marketer likes most, or later on an ad with results, or when the marketer asks "same image, different text" or "try another font". Say plainly: these test copy, not concepts — Meta treats the same picture with new words as nearly the same ad, so they go in the same ad (as extra text options), never as new concepts.
No new board: the parent ad's row is the basis, linked in the batch file. Every new line goes through the claims check before its quote.
Reads: the approved render (gooseworks:ads_creative_read creative_id, include: ["renders"]); the ad's spare hooks from the make-static-ads-ad-copy skill; the parent ad's board row and prompt; ../make-static-ads/references/fonts-and-color.md; ../make-static-ads/references/prompts.md.
Writes: variant renders, each with its text and font in the batch file under the parent ad.
fonts-and-color.md, in the brand's colours. A new font goes into the prompt's typography line.make-static-ads-compose skill (../make-static-ads-compose/SKILL.md). Images in order: the product photo first, then the parent's raw render without the logo ("Image 2 is our approved ad: keep its scene exactly; change only the words in <slot> to …"). Then gooseworks:ads_render dry_run: true, the quote as given, the marketer's yes, submit. The picture may shift slightly. The layer split (ads_creative_layerize) is not used: it returns no price before it charges.make-static-ads-claims-extract skill (../make-static-ads-claims-extract/SKILL.md); then the make-static-ads-render-review skill (../make-static-ads-render-review/SKILL.md): the logo placed again, the judge with rubric checks 2, 8, 11, 15 and 23, you with 1 and 12 (its step 3), one retry inside the yes.Done: each variant is rendered, judged and filed under its parent with its text and font.
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The supplied material contains only placeholder text for the skill’s purpose, inputs, steps, and completion criteria. It does not provide enough information to describe a task or result reliably.
Research supported advertising angles using buyer context, current product facts, customer language, and observed ads. Turn the evidence into static ad, video, or copy ideas, matching video concepts to available recipes. Scores rank ideas for testing; they do not predict results.
Analyze campaign data from Google, Meta, and LinkedIn to find strong and wasteful spend. The skill checks funnel performance and test results, then recommends which campaigns to pause, scale, or test and how to shift budget across channels.
Compare ad spend and signups with downstream outcomes to calculate the cost of each qualified lead. The skill checks tracking coverage, accounts for how long leads need to mature, and groups creatives into actionable categories with confidence notes.
Prepare the intake for a Meta ad campaign by reviewing available brand information first, stating reasonable assumptions, and asking only questions whose answers could affect budget, claims, or legal exposure. It records stable brand facts, a campaign brief, and what was asked versus assumed.
Review ad copy, image text, visuals, and people against platform and brand category rules. It suggests honest fixes and needed disclosures, then flags issues requiring human or legal review, with a separate result for each ad and platform.