Competitive Ads Extractor
Skill Verified ActiveExtracts 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.
To provide users with a comprehensive understanding of competitor advertising strategies by automating the extraction and analysis of ads from public libraries.
Features
- Extracts ads from Facebook Ad Library, LinkedIn, etc.
- Captures screenshots of ads
- Analyzes messaging, problems, and value propositions
- Categorizes ads by theme and format
- Identifies successful ad patterns and copy formulas
Use Cases
- Researching competitor ad strategies to inform campaign planning.
- Finding inspiration for ad messaging and creative approaches.
- Understanding market positioning and identifying successful ad patterns.
- Analyzing how competitors target specific audiences and pain points.
Non-Goals
- Directly copying competitor ad content.
- Performing legal analysis of competitor advertising practices.
- Predicting precise ad performance metrics without external data.
Workflow
- Extract ads from specified competitor/platform.
- Capture screenshots of all extracted ads.
- Analyze ad messaging, problems, and value propositions.
- Categorize ads by theme, audience, or format.
- Identify common successful patterns and copy formulas.
- Provide a structured analysis report with actionable insights and recommendations.
Practices
- Ethical marketing research
- Data analysis
- Competitive intelligence
Installation
npx skills add davila7/claude-code-templatesRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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