TheMattBerman/google-ads-copilot
View on GitHub15 skills discovered in this repository.
169$npx skills add TheMattBerman/google-ads-copilotSkills in this Repository
Separate tracking failures from UX problems in Google Ads conversion paths. Diagnose the real reason landing pages aren't converting.
Run a comprehensive Google Ads audit that synthesizes tracking, intent, waste, structure, and budget into prioritized action drafts.
Audit conversion tracking setup, assess confidence level, and gate optimization decisions until tracking is trustworthy.
Discover accessible Google Ads accounts, select the right customer ID, verify connectivity, and initialize workspace memory in one workflow.
Generate RSA headline and description recommendations using live search terms and asset performance data from Google Ads.
Identify wasted spend, buyer intent, and messaging patterns in Google Ads search term reports. Generate negative keyword drafts.
Safely execute approved Google Ads mutations with dry-run confirmation, verification, and full reversibility through audit logging.
Audit campaign budgets for misallocation, impression share bottlenecks, and tracking quality. Produce data-backed reallocation drafts gated by tracking confiden
Build negative keyword drafts with safe match types, scope decisions, and waste evidence. Cross-reference keywords to fix root causes.
Build or rebuild Google Ads account structure using intent mapping, traffic segmentation, and budget logic. Works from scratch or live data.
Detect Performance Max cannibalization, assess intent quality, and decide what to protect in Search campaigns despite limited PMax visibility.
Analyze intent mixing and routing in Google Ads. Get campaign and ad group restructuring recommendations with templates.
Structured daily Google Ads account check: detect waste, emerging signals, scaling opportunities, and flag urgent changes.
Summarize pending Google Ads drafts with priority, impact, risk, and dependencies to guide review and implementation order.
Cluster Google Ads search terms into intent classes, profile performance by intent, and identify structural campaign routing problems.