competitive-ads-extractor
Lets your agent extract and analyze competitor ads from ad libraries. It helps understand what works and improve your own campaigns.
What it does
This tool searches for competitor ads in ad libraries (like Facebook's) to understand which messages, problems, and creative approaches are working. It helps generate ideas and improve your own campaigns.
When to use it
- ✓Researching competitor ad strategies.
- ✓Finding inspiration for your own ads.
- ✓Understanding how competitors position themselves in the market.
Example of what to ask your AI
“Search for competitor X's ads in the Facebook ad library and tell me which messages are working.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool accesses online ad libraries, collects visual and text ads, and then analyzes themes, highlighted problems, and creativity to identify what seems most successful.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add ComposioHQ/awesome-claude-skills --skill competitive-ads-extractorOr download just the file:
curl -L https://raw.githubusercontent.com/ComposioHQ/awesome-claude-skills/master/competitive-ads-extractor/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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
- Extracts Ads: Scrapes ads from Facebook Ad Library, LinkedIn, etc.
- Captures Screenshots: Saves visual copies of all ads
- Analyzes Messaging: Identifies problems, use cases, and value props
- Categorizes Ads: Groups by theme, audience, or format
- Identifies Patterns: Finds common successful approaches
- 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
## Copy That's Working
Best Headlines:
1. "Your team's knowledge, finally in one place"
→ Benefit-focused, addresses pain directly
2. "The all-in-one workspace"
→ Clear positioning, broad appeal
3. "AI that actually helps you work"
→ Addresses AI skepticism, practical angle
Best Body Copy Patterns:
- Short sentences (under 10 words)
- Focus on outcomes not features
- Include specific numbers ("Cut meetings by 50%")
## Audience Targeting Insights
Based on ad variations:
- Startup founders: Solo productivity angle
- Team leads: Collaboration and alignment
- Enterprise: Security and compliance mentions
- Students: Free plan, templates, organization
## Recommendations for Your Ads
1. **Test the "tool sprawl" pain point**
→ Strong resonance based on their ad frequency
2. **Use product screenshots over abstract visuals**
→ All their top ads show actual UI
3. **Lead with the problem, not the solution**
→ "Tired of X?" performs better than "Introducing Y"
4. **Keep copy under 100 characters**
→ Their shortest ads seem most frequent
5. **Test before/after visual formats**
→ Proven pattern in their creative
## Files Saved
- All ads: ~/competitor-ads/notion/
- Analysis: ~/competitor-ads/notion/analysis.md
- Best performers: ~/competitor-ads/notion/top-10/
Inspired by: Sumant Subrahmanya's use case from Lenny's Newsletter
…
FAQ
Can I use this to copy ads?
No, the idea is to use the insights to create your own original ads, not to copy.
What ad platforms does it analyze?
It can analyze ad libraries from platforms like Facebook and LinkedIn, depending on availability.
Does it tell me which ads had the most sales?
It analyzes what appears to be working based on messaging and creative patterns, but it doesn't have direct access to other advertisers' sales data.
Details
Original description by the author
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.
Popularity
- GitHub stars
- 77k
- Ranking position
- #854
- License
- —
- Updated
- 9/18/2026
Comments
- …
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