google-ads-pmax-asset-group-optimizer

google-ads-pmax-asset-group-optimizer is a skill for Claude Code from Ad-Superpowers/ad-superpowers-plugin. It costs 96 tokens per session (1,913 once invoked), scanned A, original, MIT.

A guide for improving asset groups in Performance Max campaigns. Asset groups are sets of ad text, images, products, and audience signals used together by the campaign.

In plain words
What is it for?
Use it to review asset group results, plan group structure, configure listing groups and search themes, and examine audience signals.
Why use it?
It helps identify poorly performing groups and organize products, signals, search themes, and creative tests around campaign goals. It also supports checking how groups share campaign spending.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ad-superpowers plugin — 120 skills, 35 commands, 5 agents, 1 MCP server shipped together

Good fit Use it to review asset group results, plan group structure, configure listing groups and search themes, and examine audience signals.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ad-superpowers/ad-superpowers-plugin/google-ads-pmax-asset-group-optimizer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Ad-Superpowers/ad-superpowers-plugin --skill google-ads-pmax-asset-group-optimizer
Clone the repo
git clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-plugin

Made for: Claude Code.

Or install ad-superpowers, the plugin that ships this one along with the rest of its 120 skills, 35 commands, 5 agents, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for google-ads-pmax-asset-group-optimizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-pmax-asset-group-optimizer/github.svg)](https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-pmax-asset-group-optimizer)
Your own site
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-pmax-asset-group-optimizer"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-pmax-asset-group-optimizer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for google-ads-pmax-asset-group-optimizer

Your own site · 80×15
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-pmax-asset-group-optimizer"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-pmax-asset-group-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,913 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00096 $0.01913
Opus 5.5 $0.00038 $0.00765
Sonnet 5.5 $0.00019 $0.00383
Haiku 4.5 $0.00010 $0.00191

Measured 1mo ago against content hash 0be6ff456f43, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

google-ads-pmax-asset-group-optimizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/skills/google-ads-pmax-asset-group-optimizer/SKILL.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Performance Max Asset Group Optimizer

Complete guide for optimizing Performance Max asset groups — from structure and audience signals to creative testing and feed optimization.

Asset group count decision guide in references/decision-trees.md.

MCP Tool Integration

STEP 1: PMax campaign performance overview
google_ads_run_gaql(query="
  SELECT campaign.name, campaign.status,
    metrics.cost_micros, metrics.conversions,
    metrics.cost_per_conversion, metrics.conversions_value
  FROM campaign
  WHERE campaign.advertising_channel_type = 'PERFORMANCE_MAX'
    AND campaign.status = 'ENABLED'
    AND segments.date DURING LAST_30_DAYS
  ORDER BY metrics.cost_micros DESC
")

STEP 2: Asset group performance
google_ads_run_gaql(query="
  SELECT campaign.name, asset_group.name, asset_group.status,
    metrics.impressions, metrics.clicks, metrics.conversions,
    metrics.cost_micros, metrics.cost_per_conversion
  FROM asset_group
  WHERE campaign.advertising_channel_type = 'PERFORMANCE_MAX'
    AND segments.date DURING LAST_30_DAYS
  ORDER BY metrics.cost_micros DESC
")

STEP 3: Search terms (v21+)
google_ads_run_gaql(query="
  SELECT campaign.name, search_term_view.search_term,
    metrics.impressions, metrics.clicks,
    metrics.conversions, metrics.cost_micros
  FROM search_term_view
  WHERE campaign.advertising_channel_type = 'PERFORMANCE_MAX'
    AND segments.date DURING LAST_30_DAYS
  ORDER BY metrics.cost_micros DESC
  LIMIT 100
")

STEP 4: Ad network type breakdown (v22+)
google_ads_run_gaql(query="
  SELECT campaign.name, segments.ad_network_type,
    metrics.impressions, metrics.clicks,
    metrics.conversions, metrics.cost_micros
  FROM campaign
  WHERE campaign.advertising_channel_type = 'PERFORMANCE_MAX'
    AND segments.date DURING LAST_30_DAYS
")

Asset Group Structure

Structuring Options

Option Best for Example
Category-based Most common Women's / Men's / Accessories
Margin-based Profit focus High / Standard / Clearance
Funnel-based Customer journey Prospecting / Retargeting / Cross-sell
Performance-based Data-driven Top Performers / Testing / Long Tail
Hybrid (recommended) Best of all Bestsellers + Category A/B/C + Sale

Read the full file on GitHub · 188 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 188 lines · 96 tokens per session scan A 0be6ff456f43

Subscribe to this mod's changes

google-ads-pmax-asset-group-optimizer is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 96 tokens to every session and 1,913 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-11.

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