sealeap-amazon-ad-architecture

sealeap-amazon-ad-architecture is a Paid ads & campaigns skill for AI agents, published by xjli360 in the sealeap-amazon-skills repository on GitHub. Skillspace rates sealeap-amazon-ad-architecture D (68/100) and it passed the safety scan; the rating is based on static analysis only.

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.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
95

Unproven: rated by static analysis only, not yet compared head-to-head.

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View source on GitHubxjli360/sealeap-amazon-skills

Our review

Architecture
88 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Not checked yet

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  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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