amazon-ads-skills
v0.9.0Amazon Ads AI Agent skills, playbooks and eval fixtures for auditing, monitoring, causal diagnosis, growth discovery, experiments, weekly reviews, post-change evaluation, optimization memory and guarded decisions.
By zerlinpiLicense: MIT1 GitHub starsUpdated last week
Directory evidence
- Runtimes
- Codex and Claude Code
- Parsed components
- 15 skill or MCP entries
- Source updated
- Sep 14, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install amazon-ads-skills for Codex and Claude Code
codex plugin marketplace add IchenDEV/agent-plugin-mkt
codex plugin marketplace upgrade agent-plugin-marketplace
codex plugin add amazon-ads-skills@agent-plugin-marketplacePaste and run these commands in a terminal with Codex. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/zerlinpi/amazon-ads-skillsClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The repository root is the plugin root.
Plugin files
├── .codex-plugin/plugin.json├── .claude-plugin/plugin.json├── skills/amazon-ads-audit/SKILL.md├── skills/amazon-ads-optimizer/SKILL.md├── skills/anomaly-detection/SKILL.md├── skills/bid-optimization/SKILL.md├── skills/budget-optimization/SKILL.md├── skills/campaign-health-monitor/SKILL.md├── skills/experiment-planner/SKILL.md├── skills/growth-opportunity-finder/SKILL.md├── skills/keyword-optimization/SKILL.md├── skills/negative-targeting/SKILL.md├── skills/performance-drop-diagnosis/SKILL.md├── skills/placement-optimization/SKILL.md├── skills/post-change-review/SKILL.md├── skills/profitability-analysis/SKILL.md└── skills/search-term-analysis/SKILL.md
Included Skills15
对 Amazon Ads 账户、广告活动与投放结构进行系统体检,识别数据质量、浪费、预算、转化、结构和增长机会。适用于广告体检、账户诊断、周/月复盘、接手新账户等场景。
Orchestrate Amazon Ads audit, monitoring, diagnosis, growth-opportunity, experiment planning, post-change review, search-term, keyword, bid, budget, placement, negative-targeting, profitability and anomaly skills into one memory-aware guarded action plan. Use for whole-account optimization, multi-domain analysis, recurring weekly reviews, or when the user does not know which Amazon Ads skill to choose.
基于历史基线检测 Amazon Ads 的展示、点击、CPC、CVR、花费、订单、销售、ACOS/ROAS 和预算异常,并区分真实异常、业务事件与正常波动。适用于自动监控、告警和根因排查。
基于目标 ACOS/ROAS、历史 CVR、CPC、样本量、placement 与业务阶段,为 Amazon Ads keyword/target 生成保守可验证的 bid 调整建议。适用于降 ACOS、扩量、竞价治理和批量出价建议。
分析 Amazon Ads campaign 的预算受限、花费节奏、边际效率和预算分配,生成增预算、降预算、重分配或保持建议。适用于预算不足、预算分配、日预算治理和扩量判断。
监控 Amazon Ads campaign 的流量、花费、转化、预算和效率变化,基于历史基线识别 Healthy、Watch、Critical 状态并给出根因方向。适用于日常巡检、异常告警、周趋势监控。
Design guarded Amazon Ads experiments when an optimization hypothesis is promising but not yet action-safe. Use for bid, budget, placement, targeting, search-term, campaign-structure, launch, retail-readiness or growth tests that need a clear hypothesis, comparable baseline/control, primary metric, guardrails, validation window and stop/rollback criteria before external execution.
Find and prioritize commercially actionable Amazon Ads growth opportunities across ASINs, campaigns, search terms, targets, placements and budgets. Use when the user asks where to scale, where more spend could profitably grow sales, which winners deserve investment, or what growth opportunities exist beyond fixing waste.
优化 Amazon Ads keyword/target 的结构、匹配类型、状态和流量分工,识别扩量、收割、观察、降权或暂停候选。适用于关键词复盘、匹配类型治理、重复争抢和关键词分层。
从 Amazon Ads Search Term/Targeting 数据中生成安全的 Negative Exact、Negative Phrase 或否定商品投放候选,重点防止误杀品牌词、核心词和历史赢家。适用于否词、浪费控制和流量净化。
Diagnose sudden or sustained Amazon Ads performance declines by tracing the break point from account to ASIN, campaign, target, search term, placement, retail readiness, measurement lineage, and recent control changes. Use when sales, orders, ROAS, ACOS, TACOS, traffic, conversion, rank, or campaign performance dropped and the user wants a causal diagnosis rather than generic optimization advice.
分析 Amazon Ads Sponsored Products 等广告的 Top of Search、Product Pages、Rest of Search 版位表现与 modifier,识别高效版位、浪费和竞价放大风险。适用于 placement 调整和流量结构优化。
Evaluate whether an Amazon Ads optimization change was actually applied and whether it worked. Use after bid, budget, placement, targeting, negative, structure or campaign changes to perform readback, compare expected vs observed outcomes, detect confounders, and decide monitor, validate, rollback or escalate. Default to Suggest/Shadow and never perform live mutations directly.
将 Amazon Ads 花费、销售与商品成本、Amazon fees、履约、折扣等结合,计算盈亏平衡 ACOS、广告后贡献利润和可扩量空间。适用于利润优化、目标 ACOS 设定、ASIN 盈亏分析。
分析 Amazon Ads Search Term 数据,识别赢家词、扩词/Exact 收割候选、浪费词、否词候选和流量意图偏移。适用于搜索词报告、扩词、否词、流量质量诊断。
Plugin manifests2
{
"name": "amazon-ads-skills",
"version": "0.9.0",
"description": "Amazon Ads AI Agent skills, playbooks and eval fixtures for auditing, monitoring, causal diagnosis, growth discovery, experiments, weekly reviews, post-change evaluation, optimization memory and guarded decisions.",
"author": {
"name": "zerlinpi",
"url": "https://github.com/zerlinpi"
},
"homepage": "https://github.com/zerlinpi/amazon-ads-skills",
"repository": "https://github.com/zerlinpi/amazon-ads-skills",
"license": "MIT",
"keywords": [
"amazon-ads",
"amazon-ppc",
"advertising",
"agent-skills",
"codex",
"weekly-review",
"experimentation",
"optimization-memory",
"evals",
"historical-replay"
],
"skills": "./skills/"
}{
"name": "amazon-ads-skills",
"version": "0.9.0",
"description": "Amazon Ads AI Agent skills, playbooks and eval fixtures for auditing, monitoring, causal diagnosis, growth discovery, experiments, weekly reviews, post-change evaluation, optimization memory and guarded optimization.",
"author": {
"name": "zerlinpi",
"url": "https://github.com/zerlinpi"
},
"homepage": "https://github.com/zerlinpi/amazon-ads-skills",
"repository": "https://github.com/zerlinpi/amazon-ads-skills",
"license": "MIT",
"keywords": [
"amazon-ads",
"amazon-ppc",
"advertising",
"agent-skills",
"weekly-review",
"experimentation",
"optimization-memory",
"evals",
"historical-replay"
],
"skills": "./skills/"
}For maintainers
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[amazon-ads-skills on Agent Plugins Marketplace](https://pluginsmp.com/plugins/amazon-ads-skills)