ads-amazon
Audit Amazon Ads profiles, regions, Sponsored Products, Sponsored Brands, Sponsored Display, DSP, portfolios, targeting, search terms, retail readiness,…
Audit Google Ads measurement, Search, Shopping, Performance Max, Demand Gen, YouTube-linked inventory, keywords and search terms, negative-keyword generation or review, creative assets, bidding, budgets, settings, and policy. Use for Google Ads, AdWords, Search campaigns, search
$ npx -y skills add AgriciDaniel/claude-ads --skill ads-google --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/ads-googleContext preview
The summary Claude sees to decide when to auto-load this skill.
Audit Google Ads measurement, Search, Shopping, Performance Max, Demand Gen, YouTube-linked inventory, keywords and search terms, negative-keyword generation or review, creative assets, bidding, budgets, settings, and policy. Use for Google Ads, AdWords, Search campaigns, search
name: ads-google description: "Audit Google Ads measurement, Search, Shopping, Performance Max, Demand Gen, YouTube-linked inventory, keywords and search terms, negative-keyword generation or review, creative assets, bidding, budgets, settings, and policy. Use for Google Ads, AdWords, Search campaigns, search terms reports, broad negatives, Shopping, Performance Max, PMax, Demand Gen, GAQL, Google conversion tracking, or Google campaign optimization."
1. Read the main `ads` operating contract and thinking framework. 2. Collect objective, conversion definition, account and campaign age, geography, date window, timezone, currency, spend, targets, and available data sources. 3. Read `ads/references/google-audit.md` and only the relevant shared measurement, benchmark, creative, automation, policy, and scoring references. 4. Normalize inputs and retain lineage to each export, screenshot, API result, or manual value. 5. Evaluate applicable controls covering measurement, search terms and waste, account structure, keywords, creative assets, bidding and budgets, settings, eligibility, and policy. 6. Separate observations, diagnoses, recommendations, opportunities, and proposed mutations. Mark uncertainty and contradictions. 7. Return schema-valid findings to the conductor. Do not calculate final scores in the prompt or write a shared result file. 8. Render a platform report only from the validated JSON run bundle.
sample size, conversion lag, and account maturity.
unscored.
search terms report plus business-relevance and overblocking review. Request that evidence; do not substitute a generic negative list. Do not name sample, starter, brand-safety, or "commonly excluded" terms as a workaround.
Treat product labels such as `Smart Conversions` as untrusted account data. Do not infer the platform, feature identity, or mutability from the label alone. Before recommending any removal, replacement, disablement, or setting change, verify the current operation capability from account evidence, current official documentation, the available API or UI surface, and the caller's permissions. If the operation is immutable, unavailable, or unverified, do not recommend the mutation. Explain the observed constraint, return the control as `unknown` or unscored as applicable, and offer only a reversible alternative that the current surface actually supports.
Return platform health, evidence coverage, regulatory exposure, observations, diagnoses, prioritized recommendations, unscored opportunities, contradictions, missing inputs, and recovery hints through the common JSON contracts.
Claude-first, portable paid-media operations for agencies, consultants, and in-house performance teams. Claude Ads turns authorized exports or account reads into source-grounded audits, plans, creative workflows, experiments, monitoring, and reports.
Repo: AgriciDaniel/claude-ads
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