What problem does it solve? AI ad pipelines often generate images before the message is settled and place approvals after expensive renders, causing repeated rework. This Skill defines the stage order and human approval gates so nothing expensive happens before the cheap decision that governs it. ## Core Features & Use Cases - Four-act pipeline: DECIDE (brief, concepts), MAKE (copy, stills, video, QA), DISTRIBUTE (plan, launch, operate), LEARN (data plan, test, measure), with four gates placed before irreversible spend. - Fillable gate artifacts: Reference forms for concept approval, rights and claims clearance (two levels), launch, and post-launch review, plus an experiment plan and asset naming scheme. - Rework diagnosis: A seven-question audit to find why a pipeline keeps redoing the same work, usually a gate sitting after the commitment it was meant to protect. - Use Case: A team launching a generative-AI video campaign uses the brief template, clears rights before production, generates video from approved stills, and runs a holdout-based test before scaling spend. ## Quick Start Use the ad-pipeline-skeleton skill to plan my upcoming AI-generated ad campaign from brief through launch and measurement.