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competitive-ads-extractor

Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working.

Skill by billlzzz18

IndexedMIT
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.

Use cases: marketing

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What's inside

Skill name
competitive-ads-extractor
Description
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
License
MIT
Instructions
290 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Competitive Ads Extractor

This skill extracts your competitors' ads from ad libraries and analyzes what's working—the problems they're highlighting, use cases they're targeting, and copy/creative that's resonating.

## When to Use This Skill

- Researching competitor ad strategies
- Finding inspiration for your own ads
- Understanding market positioning
- Identifying successful ad patterns
- Analyzing messaging that works
- Discovering new use cases or pain points
- Planning ad campaigns with proven concepts

## What This Skill Does

1. **Extracts Ads**: Scrapes ads from Facebook Ad Library, LinkedIn, etc.
2. **Captures Screenshots**: Saves visual copies of all ads
3. **Analyzes Messaging**: Identifies problems, use cases, and value props
4. **Categorizes Ads**: Groups by theme, audience, or format
5. **Identifies Patterns**: Finds common successful approaches
6. **Provides Insights**: Explains why certain ads likely perform well

## How to Use

### Basic Extraction

```
Extract all current ads from [Competitor Name] on Facebook Ad Library
```

```
Scrape ads from [Company] and analyze their messaging
```

### Specific Analysis

```
Get all ads from [Competitor] focusing on their messaging 
about [specific problem]. What pain points are they highlighting?
```

### Competitive Set

```
Extract ads from these 5 competitors: [list]. 
Compare their approaches and tell me what's working.
```

### Specific Platform

```
Get LinkedIn ads from [Competitor] and analyze their 
B2B positioning strategy
```

## Example

**User**: "Extract ads from Notion on Facebook Ad Library and tell me what messaging is working for them."

**Process**:
```
Accessing Facebook Ad Library...
Searching for: Notion
Found: 23 active ads

Extracting screenshots...
[████████████████████] 100%

Saved to: competitor-ads/notion/
- ad-001-collaboration.png
- ad-002-productivity.png
- ad-003-templates.png
...

Analyzing messaging...
```

**Output**:
```
# Notion Ad Analysis

## Overview
- Total Ads: 23 active
- Primary Themes: Productivity (35%), Collaboration (30%), 
  Templates (20%), AI Features (15%)
- Ad Formats: Static images (60%), Video (40%)
- CTA Patterns: "Try for free", "Get started"

## Key Problems They're Highlighting

1. **Scattered Information** (8 ads)
   Copy: "Stop switching between 10 different tools"
   Why it works: Direct pain point many teams face

2. **Meeting Overload** (5 ads)
   Copy: "Replace unnecessary meetings with async updates"
   Why it works: Post-COVID remote work pain point

3. **Lost Documentation** (4 ads)
   Copy: "Never ask 'where is that doc?' again"
   Why it works: Universal workplace frustration

## Successful Creative Patterns

### Pattern 1: Before/After Split
- Shows chaotic tool landscape → Clean Notion workspace
- Used in 6 high-performing ads
- Visual metaphor is immediately clear

### Pattern 2: Feature Showcase
- GIF of actual product usage
- Shows specific feature in 5 seconds
- Used for new features (AI, templates)

### Pattern 3: Social Proof
- "Join 20M users" messaging
- Customer logos
- Used in 4 ads targeting enterprise

From billlzzz18/bl1nk-skill-platform, MIT.

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Last commit (this folder)
Dec 3, 2025 (11 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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competitive-ads-extractor skill. Agent Mart. https://agentmart.dev/skills/billlzzz18-competitive-ads-extractor (last updated 2026-10-24)