competitive-ads-extractor▌
composiohq/awesome-claude-skills · updated Apr 8, 2026
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Extract and analyze competitors' ads from ad libraries to identify successful messaging, creative patterns, and positioning strategies.
- ›Scrapes ads from Facebook Ad Library, LinkedIn, and other platforms, capturing screenshots and analyzing messaging themes, pain points, and value propositions
- ›Identifies patterns in successful ads by categorizing them by theme, audience, and format, then explains why certain approaches likely perform well
- ›Supports competitive set analysis across mult
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
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
- Look for patterns: What themes repeat?
- Track over time: Save ads monthly to see evolution
- Test hypotheses: Adapt successful patterns for your brand
- Segment by audience: Different messages for different targets
- 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
- Extract competitor ads
- Identify successful patterns
- Note gaps in their messaging
- Brainstorm unique angles
- Draft test ad variations
Positioning Research
- Get ads from 5 competitors
- Map their positioning
- Find underserved angles
- Develop differentiated messaging
- Test against their approaches
Creative Inspiration
- Extract ads by theme
- Analyze visual patterns
- Note color and layout trends
- Adapt successful patterns
- Create original variations
Tips for Success
- Regular Monitoring: Check monthly for changes
- Broad Research: Look at adjacent competitors too
- Save Everything: Build a reference library
- Test Insights: Run your own experiments
- Track Performance: A/B test inspired concepts
- Stay Original: Use for inspiration, not copying
- 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
How to use competitive-ads-extractor on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add competitive-ads-extractor
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches competitive-ads-extractor from GitHub repository composiohq/awesome-claude-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate competitive-ads-extractor. Access the skill through slash commands (e.g., /competitive-ads-extractor) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
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Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★36 reviews- ★★★★★Aisha Kim· Dec 28, 2024
competitive-ads-extractor has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chinedu Jain· Dec 28, 2024
competitive-ads-extractor reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Chinedu Anderson· Dec 20, 2024
Solid pick for teams standardizing on skills: competitive-ads-extractor is focused, and the summary matches what you get after install.
- ★★★★★Kofi Mehta· Nov 19, 2024
competitive-ads-extractor fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Aarav Sethi· Nov 19, 2024
Solid pick for teams standardizing on skills: competitive-ads-extractor is focused, and the summary matches what you get after install.
- ★★★★★Chinedu Reddy· Nov 11, 2024
We added competitive-ads-extractor from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Luis Huang· Oct 10, 2024
We added competitive-ads-extractor from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Aarav Haddad· Oct 10, 2024
competitive-ads-extractor has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Mei Rao· Oct 2, 2024
competitive-ads-extractor fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Chen Menon· Sep 21, 2024
I recommend competitive-ads-extractor for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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