competitor-ad-intelligence
FeaturedScrape competitor ads from Meta Ad Library and Google Ads Transparency Center, analyze creative patterns (hooks, formats, CTAs), reverse-engineer landing page funnels, and produce a strategic teardown with vulnerability analysis and counter-play recommendations. Use when you need to understand the competitive ad landscape, find new creative directions, or identify weaknesses in a competitor's paid strategy.
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Quality Score: 94/100
Skill Content
Details
- Author
- gooseworks-ai
- Repository
- gooseworks-ai/goose-skills
- Created
- 6 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
ads-competitor
Competitor ad intelligence analysis across Google, Meta, LinkedIn, TikTok, and Microsoft. Analyzes competitor ad copy, creative strategy, keyword targeting, estimated spend, and identifies competitive gaps and opportunities. Use when user says "competitor ads", "ad spy", "competitive analysis", "competitor PPC", or "ad intelligence".
competitor-ad-teardown
Analyzes a competitor's currently-running public ads — using ad longevity to separate proven winners from tests — and turns their angles into specific positioning openings for your own offer. Use whenever someone mentions competitor ads, the Meta Ad Library, Google Ads Transparency Center, "what are my competitors running", ad inspiration, swipe files, or asks how a rival is advertising. This covers paid advertising creative specifically — for competitive research on pricing, features, SEO, or organic content, it does not apply.
researching-competitor-ads
Analyzes the ads competitors are running — the ones live now, the ones they have already stopped, and which have run longest. Watches the video ads and reads the image ads with a vision model, so every finding comes from the ad itself rather than its caption. Finds the patterns across the set — what is holding, what was dropped, and what nobody runs. Research only — nothing is generated or recommended here. Use when the user wants competitor ads researched, an ad teardown, a competitive or category analysis, to see what ads a named brand is running, or to find what is working and what nobody has tried yet.