Agent skill

Google Ads Structure

by TheMattBerman in TheMattBerman/google-ads-copilot

Recommend Google Ads campaign and ad group structure based on intent separation, routing problems, brand/non-brand boundaries, competitor isolation, and landing-page fit.

MITAuto-check passedMarketing & SEO

Install Google Ads Structure

skills CLI

$ npx skills add TheMattBerman/google-ads-copilot --skill google-ads-structure -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install TheMattBerman/google-ads-copilot google-ads-structure --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/google-ads-structure .claude/skills/google-ads-structure && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "google-ads-structure" agent skill from https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-structure into .claude/skills/google-ads-structure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ads-structure", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-structure

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add TheMattBerman/google-ads-copilot --skill google-ads-structure -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install TheMattBerman/google-ads-copilot google-ads-structure --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/google-ads-structure .agents/skills/google-ads-structure && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "google-ads-structure" agent skill from https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-structure into .agents/skills/google-ads-structure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ads-structure", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add TheMattBerman/google-ads-copilot --skill google-ads-structure -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install TheMattBerman/google-ads-copilot google-ads-structure --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/google-ads-structure .cursor/skills/google-ads-structure && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "google-ads-structure" agent skill from https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-structure into .cursor/skills/google-ads-structure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ads-structure", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/TheMattBerman/google-ads-copilot.git --path skills/google-ads-structure

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add TheMattBerman/google-ads-copilot --skill google-ads-structure -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install TheMattBerman/google-ads-copilot google-ads-structure --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/google-ads-structure .gemini/skills/google-ads-structure && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "google-ads-structure" agent skill from https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-structure into .gemini/skills/google-ads-structure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ads-structure", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install TheMattBerman/google-ads-copilot google-ads-structure

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add TheMattBerman/google-ads-copilot --skill google-ads-structure -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/google-ads-structure .github/skills/google-ads-structure && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "google-ads-structure" agent skill from https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-structure into .github/skills/google-ads-structure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ads-structure", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add TheMattBerman/google-ads-copilot --skill google-ads-structure -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install TheMattBerman/google-ads-copilot google-ads-structure --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/google-ads-structure .opencode/skills/google-ads-structure && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "google-ads-structure" agent skill from https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-structure into .opencode/skills/google-ads-structure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ads-structure", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: google-ads-structure
GitHub stars: 238
Token cost: ~1k tokens
SKILL.md length: 290 words
Files: 1
Skills in repo: 16
Repo updated: Jun 10, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Recommend Google Ads campaign and ad group structure based on intent separation, routing problems, brand/non-brand boundaries, competitor isolation, and landing-page fit.

Works in 6 steps: Announce mode (connected/export). → Identify where unlike intent is… → Determine whether the problem is better… → …
Tasks that involve Paid advertising
SKILL.md covers Data Acquisition, Process, Core Questions and Draft Output, plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Google Ads Structure is an agent skill from TheMattBerman/google-ads-copilot. Recommend Google Ads campaign and ad group structure based on intent separation, routing problems, brand/non-brand boundaries, competitor isolation, and landing-page fit. Pulls live data via MCP or works with manual exports. Produces structure drafts.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Paid advertising. It works with Google Ads and Model Context Protocol. The repository describes itself as: Google Ads Copilot: operator kit for audits, MCP-connected reads, export-mode analysis, and draft/apply workflows. The licence is MIT.

When your agent uses it

Tasks that involve Paid advertising

Example prompts

“/google-ads-structure”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

Announce mode (connected/export).
Identify where unlike intent is currently mixed.
Determine whether the problem is better solved by split, merge, or routing.
Evaluate whether current campaign and ad group boundaries reflect real commercial meaning.
Recommend actions: keep / clean up / split / merge / route / rebuild.
Update workspace memory.

What it can do on your machine

Read from SKILL.md and the folder at commit 2c253ee. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are sql).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Google Ads Structure loads about 1k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 290 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~68
When it runs · the whole SKILL.md, loaded when a task matches: ~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from TheMattBerman/google-ads-copilot at commit 2c253ee, republished under its MIT licence (© TheMattBerman). 290 words, ~1,013 tokens.

Download SKILL.mdSave it as .claude/skills/google-ads-structure/SKILL.md (or your agent's skills folder).

name: google-ads-structure
description: Recommend Google Ads campaign and ad group structure based on intent separation, routing problems, brand/non-brand boundaries, competitor isolation, and landing-page fit. Pulls live data via MCP or works with manual exports. Produces structure drafts.

Google Ads Structure

Read first:

google-ads/references/operator-thesis.md
google-ads/references/intent-map.md
google-ads/references/query-patterns.md
google-ads/references/structure-playbook.md
google-ads/references/deliverable-templates.md

Read workspace if available:

workspace/ads/account.md
workspace/ads/goals.md
workspace/ads/intent-map.md
workspace/ads/queries.md
workspace/ads/winners.md
workspace/ads/change-log.md
workspace/ads/learnings.md

Data Acquisition

Connected Mode (MCP available)

Pull via the search tool on google-ads-mcp:

Primary: Ad group structure with performance:

sql

SELECT
  campaign.name,
  campaign.advertising_channel_type,
  ad_group.name,
  ad_group.status,
  ad_group.type,
  metrics.impressions,
  metrics.clicks,
  metrics.cost_micros,
  metrics.conversions,
  metrics.cost_per_conversion
FROM ad_group
WHERE campaign.status = 'ENABLED'
  AND ad_group.status = 'ENABLED'
  AND segments.date DURING LAST_30_DAYS
ORDER BY campaign.name, ad_group.name

Primary: Keywords per ad group (intent mixing check):

sql

SELECT
  campaign.name,
  ad_group.name,
  ad_group_criterion.keyword.text,
  ad_group_criterion.keyword.match_type,
  ad_group_criterion.status,
  metrics.impressions,
  metrics.clicks,
  metrics.cost_micros,
  metrics.conversions
FROM keyword_view
WHERE campaign.status = 'ENABLED'
  AND ad_group.status = 'ENABLED'
  AND segments.date DURING LAST_30_DAYS
ORDER BY campaign.name, ad_group.name

Supplementary: Search terms (to verify routing):

sql

SELECT
  search_term_view.search_term,
  campaign.name,
  ad_group.name,
  metrics.cost_micros,
  metrics.conversions
FROM search_term_view
WHERE segments.date DURING LAST_30_DAYS
ORDER BY metrics.cost_micros DESC
LIMIT 300

See data/gaql-recipes.md for additional queries.

Export Mode (no MCP)

Ask the user for:

Campaign list with types, budgets, bid strategies
Ad group list with campaign parent
Keywords per ad group (at least the main ones)
Search terms report helps but is not strictly required

Process

Announce mode (connected/export).
Identify where unlike intent is currently mixed.
Determine whether the problem is better solved by split, merge, or routing.
Evaluate whether current campaign and ad group boundaries reflect real commercial meaning.
Recommend actions: keep / clean up / split / merge / route / rebuild.
Update workspace memory.

Core Questions

What traffic types are wrongly sharing one optimization bucket?
Where is generic structure hiding high-intent signal?
Where are negatives doing patchwork for a deeper structure problem?
What structure would make bidding, copy, LPs, and reporting cleaner?

Draft Output

Structure Draft

Trigger: Analysis identifies intent mixing with measurable performance impact.

Create using drafts/templates/structure-draft.md:

Write to workspace/ads/drafts/YYYY-MM-DD-[account-slug]-structure.md
Specify: current state, proposed state, keywords to move, budget impact, risk, reversibility
Note dependencies on other drafts (e.g., "Add negatives first to prevent traffic bleed during restructure")
Update workspace/ads/drafts/_index.md

Always update workspace memory:

workspace/ads/findings.md — structural observations
workspace/ads/change-log.md — if recommending changes
workspace/ads/intent-map.md — if routing analysis reveals new intent classes

Rules

Do not split just because the account feels messy.
Do not over-segment thin volume.
Recommend routing when negatives can solve the problem more cleanly than new structure.
Distinguish between cleanup and full rebuild.

Files

Just SKILL.md in skills/google-ads-structure of TheMattBerman/google-ads-copilot.

Open the folder on GitHubat commit 2c253ee

Compare with similar skills

Google Ads Structure next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Google Ads Structure compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Google Ads Structure this skillTheMattBerman/google-ads-copilot	238	—	~1k	Automated safety check: Pass	MIT	3 mo ago
Google Ads Landing Page Auditnowork-studio/notfair-plugin	3.9k	—	~2.7k	Automated safety check: Pass	MIT	7 days ago
Google Ads API MCP Setupgoogle/skills	21k	—	~6.1k	Automated safety check: Notes	Apache-2.0	today
21 Audit Ads Performanceminhnv0807/ai-business-skills	608	—	~4.6k	Automated safety check: Pass	MIT	25 days ago
Connectindranilbanerjee/digital-marketing-pro	855	1 repos	~2k	Automated safety check: Pass	MIT	4 days ago
Launch Ad Campaignindranilbanerjee/digital-marketing-pro	855	1 repos	~3.9k	Automated safety check: Pass	MIT	4 days ago

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Works with

Questions about Google Ads Structure

What does Google Ads Structure do?

Recommend Google Ads campaign and ad group structure based on intent separation, routing problems, brand/non-brand boundaries, competitor isolation, and landing-page fit. Google Ads Structure is an agent skill from TheMattBerman/google-ads-copilot. Recommend Google Ads campaign and ad group structure based on intent separation, routing problems, brand/non-brand boundaries, competitor isolation, and landing-page fit.

When should I use Google Ads Structure?

Google Ads Structure fits situations like: tasks that involve Paid advertising.

How do I install Google Ads Structure in Claude Code?

Run `npx skills add TheMattBerman/google-ads-copilot --skill google-ads-structure -a claude-code`. Or copy the skill folder (skills/google-ads-structure in TheMattBerman/google-ads-copilot) into .claude/skills/google-ads-structure in your project. Claude Code loads it when a task matches its description.

How do I install Google Ads Structure in Codex?

Run `npx skills add TheMattBerman/google-ads-copilot --skill google-ads-structure -a codex`. Or copy the skill folder (skills/google-ads-structure in TheMattBerman/google-ads-copilot) into .agents/skills/google-ads-structure in your project. Codex loads it when a task matches its description.

Can I use Google Ads Structure in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add TheMattBerman/google-ads-copilot --skill google-ads-structure -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/google-ads-structure, .gemini/skills/google-ads-structure, .github/skills/google-ads-structure and .opencode/skills/google-ads-structure in your project.

What does Google Ads Structure need to run?

SKILL.md names no scripts, command-line tools or credentials: Google Ads Structure is instructions for the agent only.

Does Google Ads Structure access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Google Ads Structure safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Google Ads Structure use?

Google Ads Structure is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Google Ads Structure use?

About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Google Ads Structure?

Skills that share tags, products or a category with Google Ads Structure: Google Ads Landing Page Audit (nowork-studio/notfair-plugin, 3.9k stars), Google Ads API MCP Setup (google/skills, 21k stars), 21 Audit Ads Performance (minhnv0807/ai-business-skills, 608 stars) and Connect (indranilbanerjee/digital-marketing-pro, 855 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Google Ads Structure?

TheMattBerman (a GitHub user) maintains it in TheMattBerman/google-ads-copilot, which has 238 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on June 10, 2026.

Source: TheMattBerman/google-ads-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Google Ads Structure

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Google Ads Structure

Data Acquisition

Connected Mode (MCP available)

Export Mode (no MCP)

Process

Core Questions

Draft Output

Structure Draft

Always update workspace memory:

Rules

Files

Compare with similar skills

Similar skills

More from TheMattBerman/google-ads-copilot

Related

Questions about Google Ads Structure