ads-amazon
Audit Amazon Ads profiles, regions, Sponsored Products, Sponsored Brands, Sponsored Display, DSP, portfolios, targeting, search…
Audit Microsoft Advertising measurement, UET, search and audience campaigns, Google imports, syndication, keywords, creative, bidding, budgets, Copilot inventory, and policy. Use for Microsoft Ads, Bing Ads, UET, Microsoft Audience Network, or Google Ads import. Read-only; use
Claude Code
$ npx -y skills add AgriciDaniel/claude-ads --skill ads-microsoft --agent claude-code
Codex
$ npx skills add AgriciDaniel/claude-ads --skill ads-microsoft -a codex -y
Cursor
$ npx skills add AgriciDaniel/claude-ads --skill ads-microsoft -a cursor -y
Gemini CLI
$ npx skills add AgriciDaniel/claude-ads --skill ads-microsoft -a gemini-cli -y
GitHub Copilot
$ npx skills add AgriciDaniel/claude-ads --skill ads-microsoft -a github-copilot -y
OpenCode
$ npx skills add AgriciDaniel/claude-ads --skill ads-microsoft -a opencode -y
Windsurf
$ npx skills add AgriciDaniel/claude-ads --skill ads-microsoft -a windsurf -y
name: ads-microsoft description: "Audit Microsoft Advertising measurement, UET, search and audience campaigns, Google imports, syndication, keywords, creative, bidding, budgets, Copilot inventory, and policy. Use for Microsoft Ads, Bing Ads, UET, Microsoft Audience Network, or Google Ads import. Read-only; use ads-optimize to change campaigns."
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/microsoft-audit.md` (resolve it from the plugin root, the directory that holds `ads/` and `skills/`, or from the skills directory in a standalone install) 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 UET and conversions, imports, syndication, structure, keywords, audiences, creative, bidding, budgets, settings, 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.
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 Ads is a free, open source skill for Claude Code. Give it your ad account data and it tells you what is working, what is broken, and what to fix first, across twelve ad platforms. It is made for agencies, consultants, and in-house marketing teams.
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