competitive-ads-extractor
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn,
Best use case
competitive-ads-extractor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn,
Teams using competitive-ads-extractor should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/competitive-ads-extractor/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How competitive-ads-extractor Compares
| Feature / Agent | competitive-ads-extractor | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn,
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
## 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
## What You Can Learn
### Messaging Analysis
- What problems they emphasize
- How they position against competition
- Value propositions that resonate
- Target audience segments
### Creative Patterns
- Visual styles that work
- Video vs. static image performance
- Color schemes and branding
- Layout patterns
### Copy Formulas
- Headline structures
- Call-to-action patterns
- Length and tone
- Emotional triggers
### Campaign Strategy
- Seasonal campaigns
- Product launch approaches
- Feature announcement tactics
- Retargeting patterns
## Best Practices
### Legal & Ethical
✓ Only use for research and inspiration
✓ Don't copy ads directly
✓ Respect intellectual property
✓ Use insights to inform original creative
✗ Don't plagiarize copy or steal designs
### Analysis Tips
1. **Look for patterns**: What themes repeat?
2. **Track over time**: Save ads monthly to see evolution
3. **Test hypotheses**: Adapt successful patterns for your brand
4. **Segment by audience**: Different messages for different targets
5. **Compare platforms**: LinkedIn vs Facebook messaging differs
## Advanced Features
### Trend Tracking
```
Compare [Competitor]'s ads from Q1 vs Q2.
What messaging has changed?
```
### Multi-Competitor Analysis
```
Extract ads from [Company A], [Company B], [Company C].
What are the common patterns? Where do they differ?
```
### Industry Benchmarks
```
Show me ad patterns across the top 10 project management
tools. What problems do they all focus on?
```
### Format Analysis
```
Analyze video ads vs static image ads from [Competitor].
Which gets more engagement? (if data available)
```
## Common Workflows
### Ad Campaign Planning
1. Extract competitor ads
2. Identify successful patterns
3. Note gaps in their messaging
4. Brainstorm unique angles
5. Draft test ad variations
### Positioning Research
1. Get ads from 5 competitors
2. Map their positioning
3. Find underserved angles
4. Develop differentiated messaging
5. Test against their approaches
### Creative Inspiration
1. Extract ads by theme
2. Analyze visual patterns
3. Note color and layout trends
4. Adapt successful patterns
5. Create original variations
## Tips for Success
1. **Regular Monitoring**: Check monthly for changes
2. **Broad Research**: Look at adjacent competitors too
3. **Save Everything**: Build a reference library
4. **Test Insights**: Run your own experiments
5. **Track Performance**: A/B test inspired concepts
6. **Stay Original**: Use for inspiration, not copying
7. **Multiple Platforms**: Compare Facebook, LinkedIn, TikTok, etc.
## Output Formats
- **Screenshots**: All ads saved as images
- **Analysis Report**: Markdown summary of insights
- **Spreadsheet**: CSV with ad copy, CTAs, themes
- **Presentation**: Visual deck of top performers
- **Pattern Library**: Categorized by approach
## Related Use Cases
- Writing better ad copy for your campaigns
- Understanding market positioning
- Finding content gaps in your messaging
- Discovering new use cases for your product
- Planning product marketing strategy
- Inspiring social media content
## Scientific Skill Interleaving
This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:
### Graph Theory
- **networkx** [○] via bicomodule
- Universal graph hub
### Bibliography References
- `general`: 734 citations in bib.duckdb
## Cat# Integration
This skill maps to **Cat# = Comod(P)** as a bicomodule in the equipment structure:
```
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826
```
### GF(3) Naturality
The skill participates in triads satisfying:
```
(-1) + (0) + (+1) ≡ 0 (mod 3)
```
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