ads-competitor
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.
git clone --depth 1 https://github.com/AgriciDaniel/claude-ads /tmp/ads-competitor && cp -r /tmp/ads-competitor/skills/ads-competitor ~/.claude/skills/ads-competitorSKILL.md
# Competitor Ad Intelligence 1. Confirm named competitors, market, geography, customer, objective, and decision. 2. Use official transparency libraries, public ads, auction data supplied by the operator, and other terms-compliant sources. 3. Record capture date, platform, placement, observable creative/message, landing destination, and source URL. 4. Separate direct observations from inferred audience, spend, performance, or strategy; never present estimates as account facts. 5. Cluster durable themes, formats, offers, funnel paths, and gaps without copying protected creative or text. 6. 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.
Operate professional paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for account intake, source-grounded audits, strategy, budget and measurement planning, creative production, experiments, reporting, monitoring, and explicitly approved campaign changes. Also trigger on PPC, paid social, retail media, attribution, tracking, landing pages, cross-platform conversion totals, negative keywords or search terms, beta-feature scoring, stale platform claims, API-token or credential setup, campaign deletion, and safe Claude Ads installation or uninstall.
Amazon Ads evidence and controls specialist. Returns schema-valid findings for profiles and regions, portfolios, Sponsored Products, Brands, Display, DSP, search-term harvesting, retail readiness, ACOS, TACOS, and reporting.
Apple Ads evidence and controls specialist. Returns schema-valid findings for campaign and keyword structure, Search Match, placements, product pages, bidding, budget, AdServices attribution, and MMP reconciliation.
Budget and finance specialist. Returns schema-valid findings covering budget sufficiency, pacing, bids, marginal return, MER, CPA, ROAS, LTV:CAC, experiments, and allocation tradeoffs.
Cross-platform creative specialist. Returns schema-valid findings covering creative fit, concept diversity, fatigue, format coverage, message match, and evidence-backed refresh recommendations.
Google Ads evidence and controls specialist. Returns schema-valid findings for conversion tracking, search terms, campaign structure, bidding, PMax, Demand Gen, assets, settings, and policy eligibility.
LinkedIn Ads evidence and controls specialist. Returns schema-valid findings for Insight Tag and conversions, professional audiences, lead generation, creative, bidding, pacing, ABM, and policy eligibility.
Meta Ads evidence and controls specialist. Returns schema-valid findings for Pixel and CAPI, attribution, creative diversity and fatigue, account structure, audiences, placements, automation, and policy eligibility.