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Use this skill when the user asks to analyze, tear down, or reverse-engineer a competitor's paid ads. Trigger for prompts like "what ads is [competitor] running", "tear down their ad strategy", "competitor ad analysis", "find ad angles we haven't tried", or "reverse-engineer their paid funnel". Do not trigger for organic/SEO competitor research or website positioning analysis.
Passed 2 of 8 test cases with the skill, and 4 of 8 without it.
and 1 more in the full report
3 fixed3 passed either way9 still failing10 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
We collected 30 ads from Mailchimp (mailchimp.com). How should these ads be grouped to reconstruct Mailchimp's core paid acquisition campaigns for our platform EmailFlow (emailflow.io)?
| Checked | Without skill | With skill |
|---|---|---|
| The response groups ads into distinct campaign clusters based on shared landing page destination URLs. | Missed | Passed |
| The campaign breakdown outlines the target persona and strategic intent for each campaign cluster. | Passed | Passed |
The instructions your model reads when the skill loads.
Scrape competitor ads from Meta and Google, analyze creative patterns, reverse-engineer landing page funnels, and produce a full strategic teardown — hooks, formats, positioning bets, vulnerabilities, and counter-plays.
Core principle: A competitor's ad portfolio is a window into their growth strategy. Long-running ads reveal what converts. New ads reveal what they're testing. Landing pages reveal their positioning bets. The best ad creative teams start with evidence from what's already working, then differentiate.
Gather from the user:
apollo.io, clay.run)For each competitor domain, scrape ads from Meta Ad Library.
Use web_search to find competitor ads in the Meta Ad Library (publicly accessible, no API key needed):
web_search: site:facebook.com/ads/library "[competitor_name]"
web_search: "[competitor_name]" Meta Ad Library active ads
web_search: "[competitor_name]" facebook ads examples
test cases passed, vs 4 / 8 without
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