Competitive Ads Extractor
Point it at a competitor's name and it pulls their active ads from the Facebook Ad Library or LinkedIn, saves screenshots to a local folder, and writes an analysis covering the pain points they lead with, the creative formats they favor, and the headline patterns that keep recurring. The Notion example in the source is useful because it shows the output shape: theme percentages, ad counts per problem, and concrete recommendations you can act on. My honest take is that the analysis is only as good as the sample. Ad libraries show what's running, not what's performing, so "high frequency" is a proxy for success rather than proof of it. Treat the output as a hypothesis generator and test the ideas yourself.
- GitHub stars
- 1.4K
- last updated
- Jul 14, 2026
Install
$ npx -y skills add Prat011/awesome-llm-skills --skill competitive-ads-extractor --agent claude-codeInstalls into .claude/skills of the current project.
Files
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
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- Repository
- github.com/Prat011/awesome-llm-skills
- Category
- AI & Agent Building
- First seen
- Aug 4, 2026
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