Handle a rejected static image ad by locating the creative, mapping the platform’s reason to the offending copy or image element, and preparing a focused fix. Recheck claims and policy compliance, then mark the repair ready; video ads use a separate workflow.
Step of the make-static-ads playbook: fixes a static image ad the platform rejected — finds the ad, maps the platform's reason to the line or element at fault, fixes copy for free or re-composes the image text on a quote, re-runs the claims and policy checks, and answers the request. A rejected video is the video playbook's job. Run make-static-ads instead; not for direct use.
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Runs in place of the playbook's steps: no new board. The rejected ad's board row and prompt (in its batch file) are the basis; keep its idea and change only what the rule requires.
Reads: the open Fix needed: for make-static-ads line in ads/campaigns/<slug>/rotation-requests.md and the health line of ads/campaigns/<slug>/state.md (gooseworks:file_read), or, asked in chat, the ad and the platform's exact reason (ask for both if missing); the creative (gooseworks:ads_creative_read by tag, or gooseworks:ads_template_read mode: "mine"); its batch-file entry.
Writes: the fix in the batch file under the ad; a Fix ready: answer under the request line (re-read the file, insert, write the whole file back with gooseworks:file_write).
ad-policy-check skill (../ad-policy-check/SKILL.md)).make-static-ads-ad-copy skill (../make-static-ads-ad-copy/SKILL.md)). Free.make-static-ads-compose skill (../make-static-ads-compose/SKILL.md): the same scene with the faulty line or element changed. Images in order: the product photo first, then the rejected ad's raw render without the logo, to keep the look. Run step 4's checks on the new prompt, then gooseworks:ads_render dry_run: true, the quote as given, the marketer's yes, submit, and the make-static-ads-render-review skill (../make-static-ads-render-review/SKILL.md), which places the logo again.make-static-ads-claims-extract skill (../make-static-ads-claims-extract/SKILL.md) and ad-policy-check.Fix ready: under the request, and offer to save the lesson in the marketer's words (the save-learning skill (../save-learning/SKILL.md)).Done: the fixed ad passed both checks, or you said why nothing in it breaks the rule; the Fix ready: line is written.
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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.