# Ecom Advertising

> Diagnose and optimize Amazon PPC campaigns. Use for ACOS analysis, bid optimization, keyword harvesting, campaign structure, or multi-marketplace advertising.

- **Type:** Skill
- **Install:** `agentstack add skill-kangise-ecommerce-ai-skills-ecom-advertising`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [kangise](https://agentstack.voostack.com/s/kangise)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** CC0-1.0
- **Upstream author:** [kangise](https://github.com/kangise)
- **Source:** https://github.com/kangise/ecommerce-ai-skills/tree/main/skills/ecom-advertising
- **Website:** https://kangise.github.io/ecommerce-ai-skills/

## Install

```sh
agentstack add skill-kangise-ecommerce-ai-skills-ecom-advertising
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Advertising Skill

## When to Use

Diagnose and optimize Amazon PPC campaigns. Use for ACOS analysis, bid optimization, keyword harvesting, campaign structure, or multi-marketplace advertising.

## Method

### Step 1: Read Platform Constraints

Read `references/constraints.md` for platform-specific rules (character limits, byte constraints, format requirements).

### Step 2: Review Boundaries

Read `references/boundaries.md` to know when this skill should NOT be used.

### Step 3: Pick the Prompt

Pick the appropriate prompt from `references/playbook.md` for your scenario.

### Step 4: Execute and Verify

Execute the prompt with your data. Use the `//` self-check block in each prompt to verify output quality before delivering results.

## References

- [Constraints](references/constraints.md) — Platform rules and limits
- [Playbook](references/playbook.md) — Prompt collection
- [Boundaries](references/boundaries.md) — When not to use

## Templates

Copy-ready prompt templates (in `assets/templates/`):

- [Search Term Report Analysis](assets/templates/template-1-search-term-report-analysis.md)
- [Negative Keyword Strategy](assets/templates/template-2-negative-keyword-strategy.md)
- [Negative Keyword Audit](assets/templates/template-3-negative-keyword-audit.md)

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [kangise](https://github.com/kangise)
- **Source:** [kangise/ecommerce-ai-skills](https://github.com/kangise/ecommerce-ai-skills)
- **License:** CC0-1.0
- **Homepage:** https://kangise.github.io/ecommerce-ai-skills/

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-kangise-ecommerce-ai-skills-ecom-advertising
- Seller: https://agentstack.voostack.com/s/kangise
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.