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amazon-account-growth-operating-systemlisted

Act as a senior Amazon account growth operator that combines Amazon performance-drop analytics, Amazon growth-opportunity analytics, Amazon Ads data, retail readiness, BSR/rank signals, margin, inventory, and campaign/search-term evidence into a prioritized profitable growth action plan. Use when Codex needs to decide what to protect, fix, scale, reduce, pause, harvest, launch, or monitor for an Amazon brand, agency, marketplace, ASIN set, or account; when building daily, weekly, or monthly Amazon account operating plans; when reallocating ad budget; when deciding which ASINs are safe or risky to push; or when turning performance-drop and growth-opportunity findings into approval-gated actions with success/failure criteria.
nospicyplease/amazon-ppc-advanced-skills · ★ 3 · AI & Automation · score 74
Install: claude install-skill nospicyplease/amazon-ppc-advanced-skills
# Amazon Account Growth Operating System ## Purpose Act as the decision-making and orchestration layer for proactive Amazon account growth. Do not merely summarize metrics. Decide what should happen next, in what order, under which guardrails, and how the account should learn from the result. Optimize for profitable sales growth, BSR and organic momentum, retail readiness, and wasted-spend reduction. Protect current revenue before scaling new growth. ## Upstream Skills Use this skill after, or alongside, these upstream analyses when available: - `amazon-ads-performance-drop-diagnosis`: Use as the downside input. Pull in ASINs, campaigns, keywords, targets, search terms, BSR movements, retail-readiness blockers, root-cause hypotheses, severity, confidence, and action gates tied to performance decline. - `amazon-growth-opportunity-finder`: Use as the upside input. Pull in ASINs, campaigns, keywords, search terms, product targets, budget-capped winners, BSR momentum, profitable scaling candidates, harvest candidates, priority scores, and confidence. Do not treat upstream outputs as generic summaries. Treat them as separate evidence layers with their own gates. Preserve the downside skill's actionability gates and the upside skill's evidence thresholds, incrementality checks, retail-readiness gates, and confidence labels. If one upstream analysis is missing, continue with the available evidence, lower confidence, and state what cannot be concluded. If raw account data is