{"slug":"xjli360-sealeap-amazon-ad-architecture","name":"sealeap-amazon-ad-architecture","description":"Build and diagnose a profit-aware Amazon advertising architecture by working backward from stage-level sales and profit goals into inventory, keyword priorities, campaign roles, budgets, and measurable experiments across SP, SB, SBV, SD, keyword targeting, product targeting, and seasonal launch phases. Use for 精品广告架构, 亚马逊广告架构搭建, ASIN 推广计划, 季节性新品预算, 销量利润倒推, 关键词分层/竞争度/SPR/CPR, SP SB SBV SD 组合, 红海类目投放, 广告预算分配, 关键词首页计划, 周复盘, 或根据《如何搭建一个精品的广告架构》形成可审批方案. Default to analysis and draft; do not change live campaigns or claim organic-rank causality without verified account evidence and human approval.","long_description":"---\nname: sealeap-amazon-ad-architecture\ndescription: \"Build and diagnose a profit-aware Amazon advertising architecture by working backward from stage-level sales and profit goals into inventory, keyword priorities, campaign roles, budgets, and measurable experiments across SP, SB, SBV, SD, keyword targeting, product targeting, and seasonal launch phases. Use for 精品广告架构, 亚马逊广告架构搭建, ASIN 推广计划, 季节性新品预算, 销量利润倒推, 关键词分层/竞争度/SPR/CPR, SP SB SBV SD 组合, 红海类目投放, 广告预算分配, 关键词首页计划, 周复盘, 或根据《如何搭建一个精品的广告架构》形成可审批方案. Default to analysis and draft; do not change live campaigns or claim organic-rank causality without verified account evidence and human approval.\"\n---\n\n# SeaLeap 亚马逊广告架构\n\n围绕阶段销量和退货后利润构建广告组合，而不是按广告类型堆 Campaign。先算经营上限，再选择关键词和各广告活动的职责，最后用周复盘和单变量实验调整。\n\n## 强制边界\n\n- 把源 PPTX 中的日期、客单价、利润率、退货/仓储占比、搜索量区间、SPR/CPR、PPC、预算比例、订单和 ACOS 标记为 `TRAINING_CASE`，不得直接套入当前 ASIN。\n- 不承诺“投广告即可把关键词推上首页”。自然排名受相关性、转化、销量、竞争和平台机制共同影响，只能把排名变化设为伴随指标。\n- 使用当前账户的广告报告、业务报告、库存、退货、价格、费用和 Listing 证据；数据不足时输出 `HOLD / NEEDS_DATA`，不编数。\n- 对不明确的缩写（如材料中的 SPM、SPA、KT、LW、MD、BP/BPE、CT）先建立数据字典，不猜测后执行。\n- 广告可用性、归因、竞价策略、placement 和政策以当前站点/控制台为准。\n- profile/store/ASIN/SKU 是业务对象，不是授权。生产写入必须绑定服务端已验证 scope，并逐项人工确认。\n- 一张实验卡只改一个主变量；不要同时改 Listing、价格、Coupon、预算、竞价、匹配方式和创意后声称因果。\n\n阅读 [references/source-and-guardrails.md](references/source-and-guardrails.md) 获取 PPTX 页码映射、案例口径与限制。\n\n## 工作流\n\n### 1. 固定对象和目标\n\n记录 marketplace、profile、ASIN/SKU/父子体、品类、生命周期/季节、价格、销量目标、利润目标、旺季截止、库存、补货周期和负责人。\n\n将目标按阶段拆开，每阶段只保留：日期、目标单位数、最低利润/最大可接受亏损、关键词/人群任务和停止条件。不要只写“提高销量”。\n\n### 2. 倒推经济上限\n\n用真实费用计算净收入、退货后贡献利润、盈亏平衡 ACOS/CPA 和最大广告花费。广告预算不得超过经营上限、库存上限或季节剩余机会中的最小值。\n\n使用 [references/economics-and-stages.md](references/economics-and-stages.md) 的公式和三阶段模板。源材料的 $50 季节品案例只用于演示算法。\n\n### 3. 建关键词/商品机会表\n\n从搜索词、Search Query Performance/Brand Analytics、广告报告和当前可用的第三方研究取得证据。逐个验证相关性、意图、搜索量、CPC、CVR、竞争、自然/广告位置和利润容量。\n\n按核心/中等/长尾/场景/竞品意图分层，不用固定 10 万/1 万搜索量阈值。使用 [references/keyword-plan.md](references/keyword-plan.md)。\n\n### 4. 为每个阶段分配广告职责\n\n按任务选择广告类型：\n\n- SP 自动用于发现，SP 手动用于验证关键词/商品定向；\n- SB/SBV 用于品牌入口、视频卖点和额外搜索承接；\n- SD 用于当前可用的商品/受众再营销或扩展；\n- 只有具备资格、素材、落地页和可归因目标时才分配预算。\n\n用 [references/campaign-portfolio.md](references/campaign-portfolio.md) 设计 Campaign/Ad Group、匹配与预算，不复制案例百分比。\n\n### 5. 处理红海/高竞争场景\n\n当核心大词的 SP 成本超过利润容量时，不用更高出价掩盖问题。先验证 Listing/价格/评论/库存，再比较 SB/SBV、商品定向、长尾和 SD 是否带来可盈利增量。\n\n阅读 [references/red-ocean-playbook.md](references/red-ocean-playbook.md)；材料中“SB 带来 210 单、占广告订单 40%”只属于一个 2023 年讲师案例。\n\n### 6. 形成可审批架构\n\n输出阶段目标、经济模型、关键词任务、Campaign map、预算、样本门槛、单变量动作卡与回退值。使用 [references/output-contract.md](references/output-contract.md)。\n\n### 7. 周复盘与降档\n\n- 同时看广告销售、自然销售、总销售、TACOS、退货后利润、库存和关键词位置；不要只看 ACOS。\n- 标记价格、优惠、评论、断货、竞品、季节和归因延迟等干扰项。\n- 依据预设样本/日期判断 `KEEP`、`ITERATE`、`ROLLBACK` 或 `STOP`。\n- 旺季剩余时间短于学习/补货/回收窗口时停止扩量并执行降档。\n\n## 必须交付\n\n- 对象、授权、数据窗口、数据覆盖和口径；\n- 分阶段销量、利润、库存和季节截止；\n- 最大广告花费、盈亏平衡 ACOS/CPA 与计算假设；\n- 关键词/商品定向优先级及每个词的阶段任务；\n- SP/SB/SBV/SD 的职责、Campaign map、预算和资格；\n- `ACCOUNT_FACT`、`CURRENT_POLICY`、`TRAINING_CASE`、`HYPOTHESIS` 分离；\n- 单变量实验、逐项审批、停止条件、回退值和未解决风险。\n\n信息不足时交付取数清单与 `HOLD`，不要为了填满架构而制造 Campaign。\n","tagline":"Build and diagnose a profit-aware Amazon advertising architecture by working backward from stage-level sales and profit goals into inventory, keyword priorities, campaign roles, budgets, and measurable experiments across SP, SB, SBV, SD, keyword targeting, product targeting, and ","category":"design-creative","tags":["agent-skill"],"author":"xjli360","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"xjli360/sealeap-amazon-ad-skills","creatorName":"xjli360","creatorUrl":"https://github.com/xjli360","sourceUrl":"https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-ad-architecture","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-ad-architecture#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. 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however, SKILL.md itself is sufficiently complete and self-contained.","Financial research output is not financial advice; require human review before any live investment decision.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":72,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v4":{"version":"trust-score-v4","score":72,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":30,"weight":0.13,"status":"fail","detail":"16 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":32,"weight":0.08,"status":"fail","detail":"16 stars, 1 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"Pushed today"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":76,"weight":0.14,"status":"info","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-ad-architecture"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":100,"weight":0.07,"status":"pass","detail":"no high-risk permission surface in public metadata"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-ad-architecture"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"fail","label":"GitHub adoption","detail":"16 GitHub stars"},{"status":"fail","label":"Stars/forks activity","detail":"16 stars, 1 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"Pushed today"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-ad-architecture"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"no high-risk permission surface in public metadata"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-ad-architecture"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern"],"warnings":["The SKILL.md references 'references/source-and-guardrails.md' but that file is not included in the provided excerpt; however, SKILL.md itself is sufficiently complete and self-contained.","Financial research output is not financial advice; require human review before any live investment decision.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata"],"evidence":{"stars":"16 GitHub stars","repoActivity":"16 stars, 1 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-ad-architecture","install":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-ad-architecture","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-ad-architecture","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","Pushed today","Financial domain: human review is required before use in a live investment workflow."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["The SKILL.md references 'references/source-and-guardrails.md' but that file is not included in the provided excerpt; however, SKILL.md itself is sufficiently complete and self-contained.","Financial research output is not financial advice; require human review before any live investment decision.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 16 GitHub stars"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["design-creative","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["The SKILL.md references 'references/source-and-guardrails.md' but that file is not included in the provided excerpt; however, SKILL.md itself is sufficiently complete and self-contained.","Financial research output is not financial advice; require human review before any live investment decision.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":60,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","summary":"Usable candidate, but the agent should surface permission and audit notes before installation.","recommended_action":"Require human approval before installing into a real workspace.","auto_install_policy":"review","reasons":["Financial research output is not financial advice; require human review before any live investment decision","60/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["Financial research output is not financial advice; require human review before any live investment decision"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["Financial research output is not financial advice; require human review before any live investment decision","60/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"review","score":69,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Require human approval before installing into a real workspace.","auto_install_allowed":false,"policy":"review","human_review_required":true},"blockers":[],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Usable candidate, but the agent should surface permission and audit notes before installation.","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Financial research output is not financial advice; require human review before any live investment decision","The SKILL.md references 'references/source-and-guardrails.md' but that file is not included in the provided excerpt; however, SKILL.md itself is sufficiently complete and self-contained.","Low GitHub adoption signal","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate sealeap-amazon-ad-architecture before installing it in an agent workflow","design-creative","Research agents workflows; Claude Code teams; builders willing to evaluate younger projects"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-ad-architecture"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-ad-architecture"]},{"id":"trust_score","label":"Trust score","status":"warn","score":72,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","16 GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":76,"required_for_auto_install":true,"detail":"Needs review","evidence":["Financial research output is not financial advice; require human review before any live investment decision"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":60,"required_for_auto_install":true,"detail":"Usable candidate, but the agent should surface permission and audit notes before installation.","evidence":["Require human approval before installing into a real workspace.","Financial research output is not financial advice; require human review before any live investment decision"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"warn","score":76,"required_for_auto_install":false,"detail":"Public metadata needs stronger README/SKILL.md context","evidence":["Usable metadata, review docs"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"Pushed today","evidence":["Pushed today"]},{"id":"permission_surface","label":"Permission surface","status":"pass","score":100,"required_for_auto_install":true,"detail":"no high-risk permission surface in public metadata","evidence":["Network access: medium","Database access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-ad-architecture/evals","api":"/api/agent/evals?slug=xjli360-sealeap-amazon-ad-architecture","text":"/api/agent/evals?slug=xjli360-sealeap-amazon-ad-architecture&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"xjli360-sealeap-amazon-ad-architecture","name":"sealeap-amazon-ad-architecture","description":"Build and diagnose a profit-aware Amazon advertising architecture by working backward from stage-level sales and profit goals into inventory, keyword priorities, campaign roles, budgets, and measurable experiments across SP, SB, SBV, SD, keyword targeting, product targeting, and seasonal launch phases. Use for 精品广告架构, 亚马逊广告架构搭建, ASIN 推广计划, 季节性新品预算, 销量利润倒推, 关键词分层/竞争度/SPR/CPR, SP SB SBV SD 组合, 红海类目投放, 广告预算分配, 关键词首页计划, 周复盘, 或根据《如何搭建一个精品的广告架构》形成可审批方案. Default to analysis and draft; do not change live campaigns or claim organic-rank causality without verified account evidence and human approval.","category":"design-creative","url":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-ad-architecture","repository":"https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-ad-architecture","github_repo":"xjli360/sealeap-amazon-ad-skills"},"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Navigate pages","Click and type safely"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-ad-architecture","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install xjli360-sealeap-amazon-ad-architecture"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"sealeap-amazon-ad-architecture\" agent skill from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-ad-architecture. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Build and diagnose a profit-aware Amazon advertising architecture by working backward from stage-level sales and profit goals into inventory, keyword priorities, campaign roles, budgets, and measurable experiments across SP, SB, SBV, SD, keyword targeting, product targeting, and seasonal launch phases. Use for 精品广告架构, 亚马逊广告架构搭建, ASIN 推广计划, 季节性新品预算, 销量利润倒推, 关键词分层/竞争度/SPR/CPR, SP SB SBV SD 组合, 红海类目投放, 广告预算分配, 关键词首页计划, 周复盘, 或根据《如何搭建一个精品的广告架构》形成可审批方案. Default to analysis and draft; do not change live campaigns or claim organic-rank causality without verified account evidence and human approval. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"xjli360-sealeap-amazon-ad-architecture\",\"task\":\"Install sealeap-amazon-ad-architecture\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"sealeap-amazon-ad-architecture\" as a Claude Code skill from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-ad-architecture. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Build and diagnose a profit-aware Amazon advertising architecture by working backward from stage-level sales and profit goals into inventory, keyword priorities, campaign roles, budgets, and measurable experiments across SP, SB, SBV, SD, keyword targeting, product targeting, and seasonal launch phases. Use for 精品广告架构, 亚马逊广告架构搭建, ASIN 推广计划, 季节性新品预算, 销量利润倒推, 关键词分层/竞争度/SPR/CPR, SP SB SBV SD 组合, 红海类目投放, 广告预算分配, 关键词首页计划, 周复盘, 或根据《如何搭建一个精品的广告架构》形成可审批方案. Default to analysis and draft; do not change live campaigns or claim organic-rank causality without verified account evidence and human approval. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"xjli360-sealeap-amazon-ad-architecture\",\"task\":\"Install sealeap-amazon-ad-architecture\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"sealeap-amazon-ad-architecture\" from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-ad-architecture into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Build and diagnose a profit-aware Amazon advertising architecture by working backward from stage-level sales and profit goals into inventory, keyword priorities, campaign roles, budgets, and measurable experiments across SP, SB, SBV, SD, keyword targeting, product targeting, and seasonal launch phases. Use for 精品广告架构, 亚马逊广告架构搭建, ASIN 推广计划, 季节性新品预算, 销量利润倒推, 关键词分层/竞争度/SPR/CPR, SP SB SBV SD 组合, 红海类目投放, 广告预算分配, 关键词首页计划, 周复盘, 或根据《如何搭建一个精品的广告架构》形成可审批方案. Default to analysis and draft; do not change live campaigns or claim organic-rank causality without verified account evidence and human approval. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"xjli360-sealeap-amazon-ad-architecture\",\"task\":\"Install sealeap-amazon-ad-architecture\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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issue activity unavailable in current metadata"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":59,"label":"Promising"},"supply":{"track":"Design and creative production","scenario":"Design and creative","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Low GitHub adoption signal","The SKILL.md references 'references/source-and-guardrails.md' but that file is not included in the provided excerpt; however, SKILL.md itself is sufficiently complete and self-contained.","No OpenAgentSkill engagement data yet","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"],"agent_contract":{"task_input":"Use sealeap-amazon-ad-architecture in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 72/100 Strong shortlist","Audit: 76/100 Needs review","Safety: 60/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"xjli360-sealeap-amazon-ad-architecture (sealeap-amazon-ad-architecture)","install_command":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-ad-architecture","risk_summary":"Needs review; Reviewed with permission notes; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"xjli360-sealeap-amazon-ad-architecture","task":"Use sealeap-amazon-ad-architecture in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-ad-architecture","api":"https://www.openagentskill.com/api/agent/skills/xjli360-sealeap-amazon-ad-architecture","audit":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-ad-architecture/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=xjli360-sealeap-amazon-ad-architecture&task=Use%20sealeap-amazon-ad-architecture%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20sealeap-amazon-ad-architecture%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20sealeap-amazon-ad-architecture%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/xjli360-sealeap-amazon-ad-architecture/install","manifest":"https://www.openagentskill.com/api/registry/manifest/xjli360-sealeap-amazon-ad-architecture"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"xjli360-sealeap-amazon-ad-architecture","name":"sealeap-amazon-ad-architecture","description":"Build and diagnose a profit-aware Amazon advertising architecture by working backward from stage-level sales and profit goals into inventory, keyword priorities, campaign roles, budgets, and measurable experiments across SP, SB, SBV, SD, keyword targeting, product targeting, and seasonal launch phases. Use for 精品广告架构, 亚马逊广告架构搭建, ASIN 推广计划, 季节性新品预算, 销量利润倒推, 关键词分层/竞争度/SPR/CPR, SP SB SBV SD 组合, 红海类目投放, 广告预算分配, 关键词首页计划, 周复盘, 或根据《如何搭建一个精品的广告架构》形成可审批方案. 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After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"xjli360-sealeap-amazon-ad-architecture\",\"task\":\"Install sealeap-amazon-ad-architecture\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"sealeap-amazon-ad-architecture\" as a Claude Code skill from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-ad-architecture. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Build and diagnose a profit-aware Amazon advertising architecture by working backward from stage-level sales and profit goals into inventory, keyword priorities, campaign roles, budgets, and measurable experiments across SP, SB, SBV, SD, keyword targeting, product targeting, and seasonal launch phases. Use for 精品广告架构, 亚马逊广告架构搭建, ASIN 推广计划, 季节性新品预算, 销量利润倒推, 关键词分层/竞争度/SPR/CPR, SP SB SBV SD 组合, 红海类目投放, 广告预算分配, 关键词首页计划, 周复盘, 或根据《如何搭建一个精品的广告架构》形成可审批方案. Default to analysis and draft; do not change live campaigns or claim organic-rank causality without verified account evidence and human approval. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"xjli360-sealeap-amazon-ad-architecture\",\"task\":\"Install sealeap-amazon-ad-architecture\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. 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require human review before any live investment decision.","Quality score needs review"],"agent_contract":{"task_input":"Use sealeap-amazon-ad-architecture in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 72/100 Strong shortlist","Audit: 76/100 Needs review","Safety: 60/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"xjli360-sealeap-amazon-ad-architecture (sealeap-amazon-ad-architecture)","install_command":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-ad-architecture","risk_summary":"Needs review; Reviewed with permission notes; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"xjli360-sealeap-amazon-ad-architecture","task":"Use sealeap-amazon-ad-architecture in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-ad-architecture","api":"https://www.openagentskill.com/api/agent/skills/xjli360-sealeap-amazon-ad-architecture","audit":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-ad-architecture/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=xjli360-sealeap-amazon-ad-architecture&task=Use%20sealeap-amazon-ad-architecture%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20sealeap-amazon-ad-architecture%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20sealeap-amazon-ad-architecture%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/xjli360-sealeap-amazon-ad-architecture/install","manifest":"https://www.openagentskill.com/api/registry/manifest/xjli360-sealeap-amazon-ad-architecture"}},"supply_profile":{"track":{"slug":"design","label":"Design and creative production","shortLabel":"Design","description":"Design assets, images, video, audio, multimodal media, presentation, and creative production skills."},"scenario":{"label":"Design and creative","description":"I need my agent to produce design assets, UI directions, presentations, or creative media workflows.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"browser-automation","title":"Browser automation"},{"slug":"finance-quant","title":"Finance and quant"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-ad-architecture","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":16,"starsLabel":"16","forks":1,"license":"MIT","qualityScore":59,"trustScore":72,"auditScore":76},"maintenance":{"status":"fresh","label":"Pushed today","daysSincePush":0,"lastPushedAt":"2026-08-23T03:07:00+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Financial research output is not financial advice; require human review before any live investment decision","The SKILL.md references 'references/source-and-guardrails.md' but that file is not included in the provided excerpt; however, SKILL.md itself is sufficiently complete and self-contained.","Low GitHub adoption signal","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"coverageTags":["Design","Design and creative","design-creative","agent-skill"]},"audit":{"audit_score":76,"risk_level":"needs_review","risk_label":"Needs review","quality_score":59,"trust_score":72,"maintenance_score":100,"security_score":81,"install_score":92,"warnings":["Financial research output is not financial advice; require human review before any live investment decision","The SKILL.md references 'references/source-and-guardrails.md' but that file is not included in the provided excerpt; however, SKILL.md itself is sufficiently complete and self-contained.","Low GitHub adoption signal","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata"]},"quality_signals":{"model":"v2","star_score":8.61,"usage_score":0,"review_score":5.25,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"finance-quant","title":"Finance and quant","url":"https://www.openagentskill.com/use-cases/finance-quant"},{"slug":"marketing-growth","title":"Marketing and growth","url":"https://www.openagentskill.com/use-cases/marketing-growth"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"frontend-product-ui","title":"Frontend and UI","url":"https://www.openagentskill.com/collections/frontend-product-ui"}],"install":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-ad-architecture","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install xjli360-sealeap-amazon-ad-architecture","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"sealeap-amazon-ad-architecture\" agent skill from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-ad-architecture. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Build and diagnose a profit-aware Amazon advertising architecture by working backward from stage-level sales and profit goals into inventory, keyword priorities, campaign roles, budgets, and measurable experiments across SP, SB, SBV, SD, keyword targeting, product targeting, and seasonal launch phases. Use for 精品广告架构, 亚马逊广告架构搭建, ASIN 推广计划, 季节性新品预算, 销量利润倒推, 关键词分层/竞争度/SPR/CPR, SP SB SBV SD 组合, 红海类目投放, 广告预算分配, 关键词首页计划, 周复盘, 或根据《如何搭建一个精品的广告架构》形成可审批方案. Default to analysis and draft; do not change live campaigns or claim organic-rank causality without verified account evidence and human approval. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"xjli360-sealeap-amazon-ad-architecture\",\"task\":\"Install sealeap-amazon-ad-architecture\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"sealeap-amazon-ad-architecture\" as a Claude Code skill from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-ad-architecture. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Build and diagnose a profit-aware Amazon advertising architecture by working backward from stage-level sales and profit goals into inventory, keyword priorities, campaign roles, budgets, and measurable experiments across SP, SB, SBV, SD, keyword targeting, product targeting, and seasonal launch phases. Use for 精品广告架构, 亚马逊广告架构搭建, ASIN 推广计划, 季节性新品预算, 销量利润倒推, 关键词分层/竞争度/SPR/CPR, SP SB SBV SD 组合, 红海类目投放, 广告预算分配, 关键词首页计划, 周复盘, 或根据《如何搭建一个精品的广告架构》形成可审批方案. Default to analysis and draft; do not change live campaigns or claim organic-rank causality without verified account evidence and human approval. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"xjli360-sealeap-amazon-ad-architecture\",\"task\":\"Install sealeap-amazon-ad-architecture\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"sealeap-amazon-ad-architecture\" from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-ad-architecture into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Build and diagnose a profit-aware Amazon advertising architecture by working backward from stage-level sales and profit goals into inventory, keyword priorities, campaign roles, budgets, and measurable experiments across SP, SB, SBV, SD, keyword targeting, product targeting, and seasonal launch phases. Use for 精品广告架构, 亚马逊广告架构搭建, ASIN 推广计划, 季节性新品预算, 销量利润倒推, 关键词分层/竞争度/SPR/CPR, SP SB SBV SD 组合, 红海类目投放, 广告预算分配, 关键词首页计划, 周复盘, 或根据《如何搭建一个精品的广告架构》形成可审批方案. Default to analysis and draft; do not change live campaigns or claim organic-rank causality without verified account evidence and human approval. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"xjli360-sealeap-amazon-ad-architecture\",\"task\":\"Install sealeap-amazon-ad-architecture\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-ad-architecture","github_repo":"xjli360/sealeap-amazon-ad-skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-ad-architecture","repository":"https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-ad-architecture","api":"/api/agent/skills/xjli360-sealeap-amazon-ad-architecture","install_api":"/api/skills/xjli360-sealeap-amazon-ad-architecture/install"},"meta":{"created_at":"2026-08-23T03:36:05.009856+00:00","updated_at":"2026-08-23T03:36:05.009856+00:00","agent_friendly":true}}