Reviews the claims in static ads, including surrounding copy, text requested inside an image, badges, and implied results. It marks each claim to keep, quote with attribution, or cut based on the provided brand and product evidence, before and after rendering.
Step of the make-static-ads playbook: pulls every claim-bearing span out of an ad — the copy around the image, the on-image words in the prompt, badges, and what the picture implies — and keeps or cuts each by the brand-brain rule. Runs before spend on the finished prompt (Pass A) and on every render (Pass B). Run make-static-ads instead; not for direct use.
Run score Not tested
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Every factual line in an ad is a usable fact or is cut (../make-static-ads/references/claims-and-policy.md §2, which applies the claims-gate skill). This atom is the static-ad extract step.
Reads: the copy (the make-static-ads-ad-copy skill); each ad's finished prompt (the make-static-ads-compose skill) for Pass A, or its renders for Pass B; the claims contract loaded at Step 1 (../claims-gate/SKILL.md §1); ../make-static-ads/references/claims-and-policy.md §1–2 (what counts, trigger words, the four doors, offers); the product record and real label text.
Writes: per ad, the span list with a verdict per span; the per-ad result and the cut list (hand-off and batch file).
claims-and-policy.md §2): keep it as recorded, keep it only as a quoted and attributed line, or cut it with what would confirm it. Use the trigger words there to spot spans; a shortened, merged or reworded claim is a new claim (rewording: ../claims-gate/SKILL.md §1.7).make-static-ads-compose skill (../make-static-ads-compose/SKILL.md)) around usable facts only; the cut words never appear in the new prompt. A scene that implies the cut claim changes too. Then run Pass A again. A cut copy line → ad-copy rewrites it.../make-static-ads/references/claims-and-policy.md §2 says. A translated ad is a new ad for this check.claims-gate skill's sign-off records it (../claims-gate/SKILL.md §4).Result per ad in plain words for chat ("safe to say", "cut 'never oily' — nothing on file confirms it; a test or your own confirmation would"); the spans, statuses and cut list in the batch file.
Done: every span has keep, quote or cut; no cut words remain in any prompt or copy.
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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.