Agent skill · Audited from source

Amazon Advertising Strategy

skill · nexscope-ai/Amazon-SkillsMIT licenceAudited 19 Oct 2026 · source 1bc9142374b1

★ 783pushed 54 days ago
✓SAFEGrade B · 89/100 · 19 Oct 2026 · 1bc9142
783repo stars · whole nexscope-ai/Amazon-Skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 1bc9142374b1 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Comprehensive Amazon advertising strategy and campaign optimization. Sponsored Products, Sponsored Brands, Sponsored Display campaign management, budget allocation, ACoS optimization, and performance tracking. Use when…

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Cite this page

ModelsAtlas. “Amazon Advertising Strategy (nexscope-ai/Amazon-Skills)”. Retrieved 19 Oct 2026. https://modelsatlas.com/skills/nexscope-ai/amazon-advertising-strategy

Trust audit

Audit 0.4.1 · source read 19 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 1bc9142374b1 · 19 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publishernexscope-ai GitHub organizationOwner of the repository this skill is read from
  • Source foldernexscope-ai/Amazon-Skills/amazon-advertising-strategyThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict1bc9142374b1A new audit runs when the source changes
  • Repository statusNot archivedLast push 54 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Comprehensive Amazon advertising strategy and campaign optimization. Sponsored Products, Sponsored Brands, Sponsored Display campaign management, budget allocation, ACoS optimization, and performance tracking. Use when…

---
name: amazon-advertising-strategy
description: "Comprehensive Amazon advertising strategy and campaign optimization. Sponsored Products, Sponsored Brands, Sponsored Display campaign management, budget allocation, ACoS optimization, and performance tracking. Use when the user asks about Amazon PPC, advertising strategy, campaign optimization, or Amazon ads management."
metadata: {"nexscope":{"emoji":"📢","category":"amazon"}}
---

# Amazon Advertising Strategy 📢

Comprehensive Amazon PPC strategy and campaign optimization. Master Sponsored Products, Sponsored Brands, and Sponsored Display for maximum ROI.

## Installation

```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-advertising-strategy -g
```

## Usage Examples

**Complete advertising strategy development:**
```
"Create a comprehensive Amazon PPC strategy for my kitchen gadgets with $5K monthly budget - need SP, SB, and SD campaigns"
```

**Campaign optimization and ACoS improvement:**
```
"My Amazon ads are running at 35% ACoS but I need 25% - help optimize my campaign structure and bidding strategy"
```

**Budget allocation across campaign types:**
```
"How should I allocate my $10K monthly Amazon ad spend across Sponsored Products, Sponsored Brands, and Sponsored Display?"
```

## Core Capabilities

### 1. Multi-Campaign Strategy Development
- Complete campaign architecture across SP, SB, and SD campaign types
- Budget allocation optimization and strategic campaign prioritization
- Keyword strategy development and match type distribution
- Competitive analysis and market positioning through advertising

### 2. Performance Optimization & ACoS Management
- Bidding strategy optimization and automated bid management setup
- ACoS target setting and profitability optimization frameworks
- Performance tracking and campaign health monitoring systems
- Creative optimization and ad copy testing methodologies

### 3. Advanced Campaign Management
- Campaign structure optimization and scalability planning
- Seasonal campaign planning and budget reallocation strategies
- Cross-campaign synergy and portfolio-level optimization
- Advanced targeting and audience development for maximum reach

## How It Works

### Step 1: Strategy Development & Campaign Architecture
*Comprehensive advertising strategy creation and campaign structure design*

Develop integrated Amazon advertising strategy:
- Analyze product portfolio and competitive landscape to determine optimal campaign mix and priorities
- Design campaign architecture across Sponsored Products, Sponsored Brands, and Sponsored Display for maximum coverage
- Establish keyword strategy with appropriate match types, negative keyword lists, and bidding approaches
- Set budget allocation framework based on product margins, competition levels, and business objectives

### Step 2: Campaign Setup & Optimization Implementation
*Tactical campaign creation and performance optimization systems*

Implement and optimize advertising campaigns:
- Create campaign structures with proper targeting, bidding, and budget settings for each campaign type
- Implement bidding strategies and ACoS targets based on product profitability and competitive positioning
- Set up performance tracking and monitoring systems for ongoing campaign health assessment
- Establish creative testing frameworks and ad copy optimization processes for continuous improvement

### Step 3: Performance Management & Strategic Scaling
*Ongoing optimization and strategic campaign scaling*

Manage and scale advertising performance:
- Monitor campaign performance against KPIs and adjust strategies based on data insights and market changes
- Optimize budget allocation across campaigns and scale successful strategies while pausing underperformers
- Implement advanced targeting strategies and audience development for expanded reach and efficiency
- Establish ongoing competitive monitoring and strategic adaptation frameworks for long-term success

## Output Format

```
## Amazon Advertising Strategy Plan
**Account:** [Brand/Seller Name] | **Monthly Budget:** $[Amount] | **Product Categories:** [Categories] | **Current ACoS:** [X]%

### Account Assessment & Objectives

**Current Performance Analysis:**
- **Total Monthly Spend:** $[Amount] across [X] campaigns
- **Overall ACoS:** [X]% (Target: [Y]%)
- **Campaign Distribution:** SP ([X]%), SB ([Y]%), SD ([Z]%)
- **Top Performing Products:** [List top 3 ASINs by revenue]
- **Underperforming Areas:** [Campaigns or products needing attention]

**Strategic Objectives:**
- **Primary Goal:** [Revenue growth/Profitability improvement/Market share expansion]
- **Target ACoS:** [X]% overall ([Y]% for new products, [Z]% for mature products)
- **Budget Growth:** Scale to $[Amount] monthly over [X] months
- **Market Position:** Achieve top [X] organic ranking for [Y] key keywords

### Campaign Architecture Strategy

**Sponsored Products (SP) - 60-70% of Budget**

**Campaign Structure:**
```
Product Targeting Campaigns:
├── Exact Match (High-Intent Keywords)
│   ├── Brand Defense Campaign
│   ├── High-Converting Keywords
│   └── Category Leaders
├── Phrase Match (Medium-Intent Keywords)  
│   ├── Product Feature Keywords
│   ├── Use Case Keywords
│   └── Competitor Keywords
└── Broad Match (Discovery Keywords)
    ├── Research Campaign (Low Bids)
    ├── Category Expansion
    └── New Keyword Mining
```

**SP Campaign Details:**

| Campaign Type | Budget Allocation | Bidding Strategy | Target ACoS | Keywords |
|---------------|------------------|------------------|-------------|-----------|
| Exact Match - Brand Defense | 20% | Aggressive ($2-5) | 15-20% | Brand + product terms |
| Exact Match - High Converting | 25% | Moderate ($1-3) | 20-25% | Proven profitable keywords |
| Phrase Match - Product Features | 20% | Conservative ($0.75-1.50) | 25-30% | Feature-based searches |
| Broad Match - Discovery | 15% | Low ($0.25-0.75) | 35-45% | Category exploration |

**Sponsored Brands (SB) - 20-25% of Budget**

Excerpt, first 6,002 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 1bc9142

Download folder ↗
npx skills add nexscope-ai/Amazon-Skills --skill amazon-advertising-strategy -g

Commands as the repository documents them: shown, never run by us. Our verdict covers commit 1bc9142374b1 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 1bc9142374b1

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
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Questions about Amazon Advertising Strategy

What does the Amazon Advertising Strategy skill do?
Free AI agent skills for Amazon sellers— keyword research, competitor analysis, listing audit & more. Works with OpenClaw, Claude Code, Cursor, Windsurf, Codex and any agent that supports the Skills format.
Is Amazon Advertising Strategy safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Amazon Advertising Strategy access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (1bc9142374b1), read on 2026-10-19. The repository is watched, and a new audit runs when it changes — this is the first audit.

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