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google-ads-copilot
google-ads-copilot에는 TheMattBerman에서 수집한 skills 16개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Build or update a Google Ads Intent Map from search terms, campaign data, and account context. Pulls live data via MCP or works with manual exports. Produces structure drafts when intent classes need separation.
Analyze a Google Ads search terms report for waste, buyer-intent signals, negative candidates, isolation opportunities, and messaging clues. Pulls live data via MCP or works with manual exports. Produces negative keyword drafts and RSA drafts when findings warrant.
Recommend negative keywords for Google Ads with the right match type, scope, and caution. Pulls live data via MCP or works with manual exports. Always produces a negative keyword draft for human review.
Full Google Ads review that synthesizes tracking, search terms, intent mapping, negatives, structure, RSAs, budget decisions, and PMax context into a single operator read. Pulls live data via MCP or works with manual exports. Produces a prioritized batch of action drafts.
Analyze Performance Max through the lens of intent contamination, cannibalization, weak control surfaces, and what can still be learned despite PMax opacity. Pulls live data via MCP or works with manual exports.
Generate or refine Google Ads RSA recommendations using real buyer language from search terms, intent clusters, and winning modifiers. Pulls live data via MCP or works with manual exports. Produces RSA refresh drafts.
Execute approved draft actions in Google Ads accounts. Supports four safe mutation types plus bounded budget writes: add campaign-level negatives, add ad-group-level negatives, pause keywords, pause ad groups, and set campaign daily budgets through an Apply Manifest. Requires human confirmation via dry-run → approve → execute → verify → audit flow. All actions are logged in the audit trail and fully reversible.
Google Ads operator system for search-term analysis, intent mapping, wasted spend control, account structure decisions, tracking diagnostics, RSA generation, budget review, account planning, and full-account audits. Supports live API data (connected mode via google-ads-mcp) or manual exports (export mode). Produces draft actions for human review.
Review Google Ads budget allocation and scaling decisions based on signal quality, intent clarity, tracking confidence, and structural health. Pulls live data via MCP or works with manual exports. Produces budget reallocation drafts.
Summarize all pending drafts across accounts. Produces a single prioritized view of what needs review, sorted by impact, risk, and apply order. Surfaces dependency chains, blocked actions, and the optimal implementation sequence. Use before review sessions or when returning to an account after time away.
Diagnose landing page → conversion path problems for Google Ads traffic. Separates tracking failures from UX/path failures — the two most commonly confused sources of "low conversion rate." Pulls ad and campaign data via MCP, then reviews landing pages via browser or URL fetch to assess message match, load issues, form friction, and conversion path completeness. Produces a landing-review draft when problems are found.
Recommend Google Ads campaign and ad group structure based on intent separation, routing problems, brand/non-brand boundaries, competitor isolation, and landing-page fit. Pulls live data via MCP or works with manual exports. Produces structure drafts.
Diagnose whether a Google Ads account's conversion tracking is trustworthy enough to optimize. Pulls live data via MCP or works with manual exports. Produces tracking fix drafts when problems are found.
Connected-mode onboarding, health check, and customer selection for Google Ads Copilot. Verifies MCP server availability, discovers accessible accounts, helps the operator select the right customer ID, and writes the selection to workspace memory. Run this before any other skill when using connected mode for the first time — or whenever switching accounts.
Daily operator review for Google Ads. Surfaces what changed, where waste is showing up, where signal is emerging, what is ready to scale, and what should be left alone. Pulls live data via MCP or works with manual exports.
Plan or rebuild a Google Ads account using business goals, offer structure, intent strategy, and traffic segmentation logic. Pulls live data via MCP (for rebuilds) or works from scratch (for new accounts).