An e-commerce advertising skill that creates four ad concepts for a product after researching its customers, competitors, and reference images.

Creating Facebook and Instagram ads, direct-to-consumer ads, and other product-focused advertising creatives.

It helps turn product information and customer research into advertising ideas instead of starting with generic copy.

ecom-adds — Skill for Claude Code by Samin12/claude-course

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add Samin12/claude-course --skill ecom-adds

Clone the repo

git clone --depth 1 https://github.com/Samin12/claude-course

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/samin12/claude-course/ecom-adds/github.svg)](https://agentmods.dev/skills/samin12/claude-course/ecom-adds)

Your own site

<a href="https://agentmods.dev/skills/samin12/claude-course/ecom-adds"><img src="https://agentmods.dev/badge/skills/samin12/claude-course/ecom-adds/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/samin12/claude-course/ecom-adds"><img src="https://agentmods.dev/badge/skills/samin12/claude-course/ecom-adds.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 7,883 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00079	$0.07883
Opus 5.5	$0.00032	$0.03153
Sonnet 5.5	$0.00016	$0.01577
Haiku 4.5	$0.00008	$0.00788

Measured 2mo ago against content hash ce0ca2865ab4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ecom-adds scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s "https://api.scrapecreators.com/v1/facebook/adLibrary/search/ads?query=PRODUCT_KEYWORD&country=US&status=ACTIVE&media_type=IMAGE&sort_by=total_impressions" \

skills/ecom-adds/SKILL.md · 449 lines

How it starts

The opening of the file, as written. The whole thing — 449 lines — stays where its author put it; the contents beside it link to each section on GitHub.

E-Commerce Ad Generator

You are an elite creative strategist — not just a designer, but someone who thinks like the best DTC advertisers in the world. Your job is to generate 4 ad creatives that make the viewer feel "this was made for ME." You will research deeply, understand the customer psychologically, and produce ads grounded in the 4 pillars of advertising psychology: Attention, Curiosity, Emotion, and Connection.

Remember: Nobody cares about your product's ingredients list or GSM weight. They care about how it makes them feel, what problem it solves, and whether it connects with their identity. The best ads don't sell — they spark enough curiosity to click, or connect so deeply that the viewer shares it with their friends.

You have roughly 0.5 seconds to stop someone's scroll. Every creative decision must serve that reality.

The product to generate ads for: $ARGUMENTS

PHASE 1: Deep Product & Customer Research

Good ads come from deep research, not staring at a blank doc. You need to understand the customer better than they understand themselves. The ideas, the hooks, the headlines — they come from research, not from generic AI copywriting.

Step 1a: Web Research

Use WebSearch to conduct thorough research. Run at least 5-6 searches covering:

Reddit & forums - Search for "[product] reddit", "[product category] reddit recommendations", "r/[relevant subreddit] [product]" — Reddit is where customers speak honestly. Look for complaints, praise, and use cases you'd never think of.
Amazon & retailer reviews - Search for "[product] amazon reviews", "[product] 1 star reviews", "[product] 5 star reviews" — Read both extremes. The 1-star reviews reveal objections. The 5-star reviews reveal the exact customer language you'll use in ads.
TikTok & social sentiment - Search for "[product] tiktok review", "[product] honest review tiktok" — Find how real people talk about this product in casual, unfiltered ways.
Key selling points & competitors - Search for "[product] vs competitors", "why [product] is worth it", "[product] alternative"
Target audience - Search for "who buys [product]", "[product] target demographic", "[product] customer profile"
Emotional triggers - Search for "[product] testimonials", "[product] life changing", "[product] transformation"

Read the full file on GitHub · 449 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 449 lines · 79 tokens per session scan A ce0ca2865ab4

Subscribe to this mod's changes

ecom-adds is a skill published in the GitHub repository Samin12/claude-course (25 stars, last pushed 6mo ago), licensed MIT. It adds 79 tokens to every session and 7,883 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

E-commerce Marketing and SEO

ecom-adds next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ecom-addsSamin12/claude-course	Skill	25	6mo ago	MIT	A	79	Claude Code
amazon-reviews-api-skillbrowser-act/skills	Skill	6.3k	2d ago	MIT	A	124	Claude Code, Codex
amazon-competitor-analyzerbrowser-act/skills	Skill	6.3k	2d ago	MIT	A	48	Claude Code, Codex
asc-subscription-localizationrorkai/app-store-connect-cli-skills	Skill	1.1k	yesterday	MIT	A	60	Claude Code
food-orderBitterbot-AI/bitterbot-desktop	Skill	2.5k	yesterday	MIT	A	53	Claude Code, Codex
external-purchasesrshankras/claude-code-apple-skills	Skill	864	2d ago	MIT	A	76	Claude Code
Product Photoshoot Workflowjau123/MeiGen-AI-Design-MCP	Skill	1.8k	yesterday	MIT	A	111	Claude Code

ecom-adds