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windsor-aiwindsor-ai/claude-windsor-ai-plugin/skills/google-ads/SKILL.md

google-ads

Skill1 starsChanged 50 days agoMITView on GitHub

Analyze and manage Google Ads through Windsor.ai. Use when the user asks about their Google Ads performance — pulling live campaign, ad group, or keyword metrics (cost, impressions, clicks, conversions, CPA, ROAS), comparing date ranges, or finding top or underperforming campaigns — or when they want to pause or enable a campaign or change a campaign budget. Do not use for other ad platforms (Meta/Facebook, TikTok, LinkedIn, Microsoft Ads), organic social, or GA4/website analytics.

29 other projects use a version of this.

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Projects with it also use google-ads-assets, google-ads-audit and 1 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • chanktbSkill

    google-ads-assets

    Generates Google Ads creative assets shared across campaign types: responsive search ad headlines and descriptions, Performance Max asset-group copy and search themes, Demand Gen image/video briefs, and sitelinks/callouts. Enforces character limits, brand voice from account-context.yaml, and policy/ trademark safety. Use when the user says "ad copy", "headlines", "descriptions", "assets", "creative", "rsa", "asset group copy", "sitelinks", "callouts".

    Also in 3 projects that use this

  • itallstartedwithaideaSkill

    google-ads-audit

    Structured Google Ads account audit across 7 dimensions. Activate when the user asks to "audit my account", "check for problems", "find issues", "review my campaigns", or requests a comprehensive account health assessment. Delivers findings with severity ratings and prioritized action items.

    Also in 3 projects that use this

  • AnthropicSkill

    onboarding

    Generate an onboarding checklist and first-week plan for a new hire. Use when someone has a start date coming up, building the pre-start task list (accounts, equipment, buddy), scheduling Day 1 and Week 1, or setting 30/60/90-day goals for a new team member.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

9 rules. 0 are common, 3 are distinctive, and 6 are very specific to this project.

  • 0

    Common

    Most of the 26 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 6

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Reads are safe; writes change live ad spend: Only call execute_action after the user has confirmed the specific change.

    line 18
  2. Very specific:

    Call get_connectors to see which Google Ads accounts are connected (each has an id and, usually, a name).

    line 24
  3. Distinctive:

    If the user names an account, match it to a connected account id.

    line 30
  4. Very specific:

    Call get_fields for google_ads to get valid field ids (e.g.

    line 35
  5. Very specific:

    If the analysis needs attribution or segmentation controls, call get_options to see the connector's options and valid values.

    line 38
  6. Distinctive:

    Write workflow — every time:

    line 100
  7. Very specific:

    Only after an explicit yes, call execute_action and report the result.

    line 108
  8. Distinctive:

    If the user says "pause the worst campaign", first do the read + ranking, then name the specific campaign and confirm before pausing — …

    line 110
  9. Very specific:

    If a tool returns an error (unknown field/connector/account), call the relevant discovery tool (get_fields, get_connectors, list_actions) …

    line 116

“Common” is measured: kept by at least 6 in 10 of the 26 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Google Ads via Windsor.ai

Windsor.ai exposes live Google Ads data (read) and a small set of campaign management actions (write) through MCP tools. The connector id is google_ads. Pass google_ads as the connector on every tool call; the Windsor.ai server serves all connectors, so it is never implied.

Golden rules:

  • Never guess field, account, action, or option names. They come from get_fields, get_connectors, list_actions, and get_options. Call those first; do not invent identifiers.
  • Reads are safe; writes change live ad spend. Only call execute_action after the user has confirmed the specific change.
  • Report numbers the user asked for, concisely. Don't dump raw rows unless asked.

1. Ground yourself first

Call get_connectors to see which Google Ads accounts are connected (each has an id and, usually, a name). If none are connected, help the user connect one: call get_connector_authorization_url (or get_connector_connect_info for the auth type and steps) and give them the setup link — do not describe manual dashboard navigation.

If the user names an account, match it to a connected account id. If several are connected and the request is ambiguous, ask which account.

2. Reading performance data

  1. Call get_fields for google_ads to get valid field ids (e.g. campaign, ad_group, date, cost/spend, impressions, clicks, conversions, conversion value — use the exact ids returned, not these examples).
  2. If the analysis needs attribution or segmentation controls, call get_options to see the connector's options and valid values.
  3. Call get_data with:
    • fields: the ids you actually need (keep the set small).
    • accounts: the target account id(s); omit for all connected accounts.
    • A date range: either date_from/date_to ("2026-02-01"), or date_preset — last_7d, last_30d, last_Xd/last_Xw/last_Xm, this_month, this_year, last_year. Append T to include today (e.g. last_7dT, this_monthT).
    • options: only if get_options showed relevant ones.
    • filters: optional conditions, e.g. [["cost", "gt", 100]]; combine with "and"/"or" and nest as needed.

Common requests → recipe:

  • Overview / trend: fields date + the metrics, over a preset range.
  • By campaign: fields campaign + metrics; sort/aggregate in your answer.
  • Best / worst campaign: pull campaign + the metric, then rank; return only what was asked (e.g. just the campaign name) if the user constrained the output format.
  • Efficiency: cost per conversion = cost ÷ conversions; ROAS = conversion value ÷ cost. Compute from returned fields; note if conversions are zero.

Watch out: Google Ads money fields are in the account currency (state it if known). Conversions can be fractional. If a field the user wants isn't in get_fields, say so rather than substituting a different metric.

3. Managing campaigns (write actions)

Google Ads exposes a broad set of write actions via list_actions / execute_action. Always call list_actions first for the exact ids and JSON schemas — treat the summary below as guidance, not gospel. They cover:

  • Create / structure: create_campaign (Search or Display, with a daily budget; created paused), create_ad_group, create_responsive_search_ad (3–15 headlines, 2–4 descriptions, a final URL; created paused).
  • Status: pause_campaign / enable_campaign, pause_ad_group / enable_ad_group, pause_ad / enable_ad.
  • Keywords: push_keywords (add positive keywords to an ad group), update_keywords, remove_keywords, and push_negative_keywords (campaign- or ad-group-level).
  • Budget & bidding: set_campaign_budget (daily or lifetime, with apply_to_shared_budget for shared budgets), set_campaign_bidding_strategy (manual CPC, target CPA/ROAS, maximize conversions/clicks, …), set_target_cpa, set_cpc_bid_ceiling, set_max_cpc.
  • Customer Match audiences: create_customer_match_list, upload_customer_match_list (async — poll get_customer_match_upload_status), rename_customer_match_list, delete_customer_match_list, and attach_user_list_to_ad_group / detach_user_list_from_ad_group. Upload members as raw email/phone/address — the action hashes them; matching runs in the background and the list isn't targetable until it completes.

Budget mechanics:

  • Money amounts are in micros: 1,000,000 micros = 1 unit of the account currency, so 50000000 = 50.00. Convert the user's amount to micros.
  • set_campaign_budget / targets set an absolute value, not a delta. To "raise by 20%", read the current value first, compute the new absolute amount, and set that.
  • create_* actions produce paused campaigns/ad groups/ads by default, so nothing serves until the user enables it.

Write workflow — every time:

  1. Resolve the campaign to its campaign_id (via a get_data read on campaign + id fields if the user gave a name).
  2. Build the exact params from the list_actions schema.
  3. Show the user the concrete change and ask them to confirm — e.g. "Pause campaign 'Summer Sale' (id 123…) on account 456…?" or "Set daily budget for campaign X to €50.00 (50000000 micros)?".
  4. Only after an explicit yes, call execute_action and report the result.

If the user says "pause the worst campaign", first do the read + ranking, then name the specific campaign and confirm before pausing — don't pause on the strength of the aggregate alone.

4. Reference the user's data, don't fabricate

If a tool returns an error (unknown field/connector/account), call the relevant discovery tool (get_fields, get_connectors, list_actions) and retry with correct ids. Never fill gaps with made-up numbers or campaign names.

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