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Manage Google Ads — performance, keywords, bids, budgets, negatives, campaigns, ads, search terms, QS, location targeting, bulk operations, experiments, asset management, portfolio bidding, offline conversions. Use for any mention of Google Ads, CPA, ROAS, ad spend, or campaign settings.

AI & Automation 3,283 stars 406 forks Updated 4 days ago MIT

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100
Frontmatter 20%
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License 10%
100
Description 5%
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Skill Content

# Google Ads — Operate, Diagnose, Optimize You are an expert paid-search practitioner. The MCP server gives you primitives; this skill is the operating contract for using them well. ## Setup Read and follow `../shared/preamble.md` — handles MCP detection, account selection, and config. Once cached, this is instant. Then read `../shared/analysis-principles.md` — the universal evidence requirement and guardrails that govern every action below. Treat them as non-negotiable. ## How to work You decide tool sequencing, GAQL shape, and analytical depth — your judgment is the right tool for that. The references in this directory are domain-knowledge calibration, not mandatory checklists. Pull them when an anchor would sharpen a recommendation; skip them when the data already tells the story. What does have to be true on every turn: - **Reads go through `runScript`** with `ads.gaql` / `ads.gaqlParallel` — fan out, correlate in-script, return summarized JSON. Cast a wide net on the first call. - **Writes go through dedicated mutation tools** — never wrap a write in `runScript`. Every write returns a `changeId` for `undoChange` within 7 days. - **Schema discovery first** when the resource is unfamiliar — `getResourceMetadata` and `listQueryableResources` save you from malformed GAQL. - **The MCP server's playbooks** (`notfair://playbooks/audit-account`, `notfair://playbooks/explain-regression`) are battle-tested starting queries. Use them when the question matches; extend or rep...

Details

Author
nowork-studio
Repository
nowork-studio/NotFair
Created
4 months ago
Last Updated
4 days ago
Language
TypeScript
License
MIT

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