Ads competitor
Claude-first paid-media operations skill for Claude Code across 12 ad platforms (Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, X): source-grounded audits, deterministic scoring, versioned JSON reports, and capability-gated account changes.
npx -y skills add AgriciDaniel/claude-ads --skill ads-competitorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
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Research competitor paid-ad presence, messaging, creative, formats, landing pages, keyword and auction signals, transparent ad libraries, and strategic gaps across supported platforms. Use for competitor ads, ad libraries, ad spy, competitive PPC analysis, competitor creative, Google Ads Transparency, Meta Ad Library, or paid-media competitor research.
SKILL.md
1.2 KB, as published. Nobody here has run it
Competitor Ad Intelligence
- Confirm named competitors, market, geography, customer, objective, and decision.
- Use official transparency libraries, public ads, auction data supplied by the operator, and other terms-compliant sources.
- Record capture date, platform, placement, observable creative/message, landing destination, and source URL.
- Separate direct observations from inferred audience, spend, performance, or strategy; never present estimates as account facts.
- Cluster durable themes, formats, offers, funnel paths, and gaps without copying protected creative or text.
- Return evidence-backed opportunities, risks, experiments, and source records.
Respect platform terms, robots and access controls, copyright, trademarks, and privacy. Do not bypass authentication or scrape private account surfaces.