CCM
/Skills
SkillsMCPMarketplacesDigestToolsAdvertise

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by Category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP Servers by Category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by Category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control

Claude Code Marketplaces

Discover Claude Code plugins, extensions, and tools. Automatically updated directory of Anthropic Claude AI marketplaces with development tools, productivity plugins, and integrations.

Resources

  • Browse Skills
  • Browse MCP Servers
  • Browse Marketplaces
  • Skill index
  • MCP index
  • Marketplace index
  • Plugins Reference

Community

  • About
  • Tools
  • Feedback
  • Privacy Policy
  • Advertise

Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
composiohq avatar

Competitive Ads Extractor

composiohq/awesome-claude-skills
4.5k installs72.1k stars
Summary

This pulls ads from Facebook Ad Library, LinkedIn, and other platforms, then breaks down what your competitors are actually saying and how they're saying it. You get screenshots, messaging analysis, and pattern recognition across their creative. Most useful when you're planning a campaign and need to see what problems others are emphasizing, which copy formulas they're testing, or how they're positioning against you. The before/after visual analysis and audience segmentation insights are genuinely helpful for finding gaps in competitor messaging. Just remember this is for inspiration and research, not copying their work verbatim.

Install to Claude Code

npx -y skills add composiohq/awesome-claude-skills --skill competitive-ads-extractor --agent claude-code

Installs into .claude/skills of the current project.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Files
SKILL.mdView on 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

  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
Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
View on GitHub

More from composiohq/awesome-claude-skills

All 32 skills →
  • Invoice Organizer4.2k
  • Domain Name Brainstormer4.1k
  • Twitter Algorithm Optimizer4k
  • Image Enhancer4k
  • Skill Creator3.9k
  • Webapp Testing3.8k
  • Canvas Design3.8k
  • Artifacts Builder3.7k
  • Mcp Builder3.7k
  • Meeting Insights Analyzer3.6k
  • Connect Apps3.6k
  • Developer Growth Analysis3.5k
  • Connect3.5k
  • Theme Factory3.5k
  • Brand Guidelines3.5k
  • Langsmith Fetch3.4k
  • Skill Share3.4k
  • Slack Gif Creator3.4k
  • Internal Comms3.4k
  • Template Skill3.3k
  • Raffle Winner Picker3.3k
  • Gmail Automation177
  • Google Calendar Automation164
  • Googlesheets Automation134

Recommended

juliusbrussee avatar
caveman

juliusbrussee/caveman

Ultra-compressed communication mode. Cuts output tokens 65% (measured) by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
443.2k
98.9k
mattpocock avatar
grill-me

mattpocock/skills

A relentless interview to sharpen a plan or design.
896.5k
221k
shadcn avatar
improve

shadcn/improve

Survey any codebase as a senior advisor and produce prioritized, self-contained implementation plans for OTHER models/agents to execute. Strictly read-only on source code — never implements, fixes, or refactors anything itself. Use when asked to audit a codebase, find improvement opportunities (bugs, security, performance, test coverage, tech debt, migrations, DX), suggest features or where to take the project next (roadmap, product direction), or generate handoff plans for another agent to implement.
29.7k
8.9k
obra avatar
systematic-debugging

obra/superpowers

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
229.2k
273.5k
forrestchang avatar
karpathy-guidelines

forrestchang/andrej-karpathy-skills

Behavioral guidelines to reduce common LLM coding mistakes through explicit assumptions, simplicity, and verifiable success criteria.
17.9k
191.7k
vercel-labs avatar
find-skills

vercel-labs/skills

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
3M
28.2k