ads-monitor
Monitor paid-ad account pacing, delivery, performance, creative fatigue, tracking, policy, and data quality across supported platforms. Use for daily or weekly checks, anomaly review, budget pacing, post-launch verification, or campaign monitoring.
git clone --depth 1 https://github.com/AgriciDaniel/claude-ads /tmp/ads-monitor && cp -r /tmp/ads-monitor/skills/ads-monitor ~/.claude/skills/ads-monitorSKILL.md
# Paid Media Monitoring 1. Load two or more normalized snapshots with compatible account, timezone, currency, metric, and attribution definitions. 2. Validate data freshness and finalization windows before comparing periods. 3. Separate expected learning, seasonality, reporting latency, and planned changes from unexplained anomalies. 4. Evaluate pacing, delivery, conversion quality, unit economics, creative fatigue, tracking health, policy status, and changed account objects. 5. Return observations, confidence, likely causes, required investigation, and decision thresholds. Do not mutate the account. 6. Persist a versioned monitoring bundle and link detected failures to regression or follow-up tasks. Do not alert on percentage changes with trivial denominators or incomparable windows. State when evidence cannot distinguish noise from a material change.
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.