Google Ads logo

Google Ads

Organization
hyperfx-ai
google-ads

Plan and create new Google Ads campaigns and report on existing accounts via the Hyper MCP. Use when the user wants to launch Search, Display, Performance Max, Video, Demand Gen, Shopping, or App campaigns, build Google Ads reports or dashboards, diagnose conversion tracking, or mentions Google Ads, AdWords, search ads, display ads, Performance Max, PMax, PPC, Google campaigns, search term reports, budget analysis, conversion funnels, negative keywords, or manager accounts (MCC).

Overview

Publisherhyperfx-ai
Repositorymarketing-skills
Skill namegoogle-ads
Stars
107
Forks
21
Bundled files
18
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 18 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by hyperfx-ai on GitHub. Read the source before you install it.

Installation

Install the Google Ads AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/hyperfx-ai/marketing-skills/tree/main/skills/google-ads
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/hyperfx-ai/marketing-skills.git /tmp/marketing-skills
mkdir -p .claude/skills
cp -r /tmp/marketing-skills/skills/google-ads .claude/skills/google-ads
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Google Ads in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Google Ads on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Google Ads is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Google Ads

Strategic guide for building new Google Ads campaigns and reporting on existing accounts. Research first, consult intelligently, validate everything, and build with the granular resource tools in dependency order (budget → campaign → targeting → ad groups → ads / asset groups). The API has exactly one campaign create — google_ads_campaigns_create — and the campaign type is just advertising_channel_type; type-specific requirements are enforced by the tools' built-in validators, which return corrective errors. Reporting is GAQL-backed and evidence-first — dashboards are optional presentation surfaces.

Requirements

If google_ads_accounts_list is not found, the integration to connect is Google Ads.

How to run the tools in this skill

Every tool in this skill is named by its canonical tool name. Run it with the call your surface gives you:

SurfaceFind a toolRun it
Hyper chatCall the tool by its name; search_tools(queries=["<provider> <action>"]) shows its parameters<name>(...)
MCP client (Claude, Cursor, Codex, ChatGPT)search("<what you want to do>"), then describe("<name>")call_read("<name>", {...}), call_write or call_destructive: the one that describe names in call_with
Hyper CLIhyperai search "<what you want to do>", then hyperai describe <name>hyperai call <name> --json '{...}'

If a tool is not found: in Hyper chat, find its toolkit id with discover_toolkits and pass it to enable_toolkit. On an MCP client or the CLI, tell the user which integration to connect in Hyper.

Out of scope

  • Live optimization mutations (bid adjustments, pausing keywords, restructuring existing campaigns). Reports may recommend these changes; applying them needs explicit per-change user approval.
  • Creative generation (headlines, descriptions, images) → the ad-creative-generation skill.
  • Cross-platform campaign launches → use this skill for Google, then invoke meta-ads / tiktok-ads separately.

Tool surface

Reads are GAQL (google_ads_gaql_query covers every resource). Writes are one tool per resource operation, named google_ads_<resource>_<create|update|remove>. Generated create and update tools take (customer_id, body), where body is the bare resource object in snake_case. A generated _remove takes body={"resource_name": "customers/<cid>/<collection>/<id>"}. The keyword, location, asset-group, asset-link, image-upload and _delete tools take flat arguments: read them with describe or search_tools.

ToolPurpose
google_ads_accounts_listDiscover accessible accounts (and MCC sub-accounts).
google_ads_gaql_queryRun a GAQL query (conversion actions, search terms, any resource).
google_ads_campaign_budgets_createCreate the budget first (micros!).
google_ads_campaigns_create / _update / _removeThe ONE campaign create — every advertising_channel_type (SEARCH, DISPLAY, PERFORMANCE_MAX, VIDEO, DEMAND_GEN, SHOPPING, MULTI_CHANNEL for App).
google_ads_ad_groups_create / _update, google_ads_ad_groups_deleteAd groups under a campaign.
google_ads_ad_group_ads_create / _update / _removeAds (typed: responsive_search_ad, responsive_display_ad, video / demand-gen ad types).
google_ads_keywords_create / _update / _delete / _listKeywords (positive and negative).
google_ads_locations_search, google_ads_location_targets_addResolve location names, target them.
google_ads_location_targets_listA campaign's locations, each with its place name (canonical_name).
google_ads_image_assets_uploadImage assets — accepts file_id from the workspace file manager, image_url, or base64.
google_ads_video_assets_linkRegister a YouTube video ID as a video asset (the Ads API cannot host video files — videos must be on YouTube).
google_ads_asset_groups_createPMax asset group (atomic: text + image assets in one call).
google_ads_conversion_actions_create, google_ads_user_lists_create, google_ads_bidding_strategies_create, google_ads_shared_sets_create, …Full per-resource CRUD surface — same naming pattern.
google_ads_requestRaw escape hatch for any uncovered endpoint.
data_apps_build, data_apps_refreshOptional dashboards / data apps for reports.

Rules that must never be forgotten

BUDGETS IN MICROS: $50/day = 50,000,000 micros. Never pass dollar amounts directly.

ALWAYS START PAUSED: Create campaigns with status="PAUSED". Activate only after explicit user approval.

SUMMARIZE BEFORE CREATE: Present the full build plan (budget, campaign settings, targeting, ad groups, ads/assets) and get explicit user approval before the first mutate. Create in dependency order. Generated bodies take the full resource_name that the mutate returns (e.g. "campaign": "customers/<cid>/campaigns/<id>"). The flat tools (google_ads_location_targets_add, google_ads_keywords_create, google_ads_asset_groups_create, google_ads_asset_group_assets_link, google_ads_campaign_assets_link) take the bare id: the last part of that resource name. The tools validate bodies against the real API schema (writable fields, enum values) plus channel-type rules and return corrective errors — fix and retry rather than guessing.

NEVER INVENT: Don't assume URLs, budgets, or location IDs. Don't skip research. Don't invent keywords or copy — creative comes only from the actual site. Don't build without user buy-in.

PLACES COME FROM THE ID: Name a targeted place only from its canonical_name (google_ads_location_targets_list, or geo_target_constant.canonical_name in GAQL). A campaign name or the user's words is not a location.

SMALL SAMPLES: A cost per result from fewer than 10 conversions gets one line that the sample is too small to judge. Do not rank or cut a campaign on that cost alone.

DERIVED NUMBERS SHOW THEIR INPUTS: A total, difference or rate that you compute names the tool values it comes from: "312 carts with no purchase (414 add-to-carts − 102 purchases)".

GAQL GUARDRAILS: Never join ad_group_criterion with search_term_view. Never query more than 5 sub-accounts in a single batch.

See references/constraints.md for the full constraint set.

All reference files live in references/. Read them at references/<file> (e.g. references/discovery.md). They are not in the same directory as this SKILL.md.

Core process

Every campaign build follows this sequence. Do not skip steps.

  1. Identify the goal — new campaign, reporting/analysis, or both?
  2. Check the routing table and read the files of your row only, before calling any tools. The other reference files are for other tasks
  3. Discovery is mandatory for creation (references/discovery.md) — account setup, site scan, conversion tracking check, market research, consultation
  4. Present the pre-creation summary and wait for explicit approval
  5. Build in dependency order (budget → campaign PAUSED → targeting → ad groups → ads/assets) after approval, by the campaign file; read a section of references/constraints.md only when a step names it
  6. Activate only when the user approves

Full workflow: Initial Setup → Research (site + GAQL + market) → Analyze (goals, audience, keywords) → Consult (options + trade-offs) → Recommend (structure + bids) → Confirm (summary approved) → Create in dependency order (PAUSED) → Verify by GAQL → Activate (post-approval).

Routing table

The user wants to…Read these files first
Create a Search or Display campaignPlan: references/discovery.md. Build, after the user approves the plan: references/campaigns/search-display.md
Create a Performance Max campaignPlan: references/discovery.md. Build, after the user approves the plan: references/campaigns/pmax.md
Add an asset group to an existing PMax campaignreferences/campaigns/pmax.md
Create a Video, Demand Gen, Shopping, or App campaignPlan: references/discovery.md. Build, after the user approves the plan: references/campaigns/other-types.md
Run a report / GAQL query / analyze performance with no recipe belowreferences/reporting.md
Account health snapshot / "how is the account doing?"references/reports/account-overview.md
Diagnose conversion trackingreferences/reports/conversion-tracking.md
Find wasteful search terms / negative keyword candidatesreferences/reports/search-terms-waste.md
Conversions by action or per stagereferences/reports/conversion-by-action.md
A lead-gen or B2B multi-stage funnelreferences/reports/conversion-funnel.md
Where the spend goesreferences/reports/budget-distribution.md
Whether to restructurereferences/reports/campaign-structure.md
Campaign performance over timereferences/reports/campaign-performance.md
Ad-level performancereferences/reports/ad-performance.md
Build a Google Ads dashboard or data appreferences/reporting.md → matching report recipe's dashboard section
Work across an MCC / many sub-accountsreferences/mcc.md → references/reporting.md
Goal not yet clearreferences/discovery.md — discovery clarifies the goal

A report names the customer ID, the date range, the GAQL resource queried and its key results, and says whether the output is a written report or a dashboard. It treats rows as evidence, not as recommendations, unless the user asks for recommendations.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Google Ads AI skill do?

Plan and create new Google Ads campaigns and report on existing accounts via the Hyper MCP. Use when the user wants to launch Search, Display, Performance Max, Video, Demand Gen, Shopping, or App campaigns, build Google Ads reports or dashboards, diagnose conversion tracking, or mentions Google Ads, AdWords, search ads, display ads, Performance Max, PMax, PPC, Google campaigns, search term reports, budget analysis, conversion funnels, negative keywords, or manager accounts (MCC).

Why use Google Ads on TypingMind?

Because you install it once and use it with any model. Google Ads is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Google Ads in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hyperfx-ai/marketing-skills/tree/main/skills/google-ads. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Google Ads?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Google Ads?

As many as you like. As long as a model supports skills, you can use Google Ads with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Google Ads AI skill free?

Yes. It is published on GitHub by hyperfx-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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