google-ads-remarketing-list-builder

google-ads-remarketing-list-builder is a skill for Claude Code from Ad-Superpowers/ad-superpowers-plugin. It costs 104 tokens per session (1,826 once invoked), scanned A, original, MIT.

A guide to creating remarketing lists, groups of people who previously visited or interacted with a site or ad. It also covers RLSA, which lets search campaigns adjust targeting or bids for those visitors.

In plain words
What is it for?
Use it to build audience lists, check their sizes and eligibility, configure search remarketing, and plan display or dynamic remarketing groups.
Why use it?
It helps separate past visitors into useful groups instead of showing every returning user the same message. This supports follow-up campaigns such as cart-abandonment and sequential ads.

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 build audience lists, check their sizes and eligibility, configure search remarketing, and plan display or dynamic remarketing groups.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ad-superpowers/ad-superpowers-plugin/google-ads-remarketing-list-builder
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-remarketing-list-builder
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-remarketing-list-builder

README.md
[![agentmods](https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-remarketing-list-builder/github.svg)](https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-remarketing-list-builder)
Your own site
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-remarketing-list-builder"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-remarketing-list-builder/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-remarketing-list-builder

Your own site · 80×15
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-remarketing-list-builder"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-remarketing-list-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,826 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 $0.00104 $0.01826
Opus 5.5 $0.00042 $0.00730
Sonnet 5.5 $0.00021 $0.00365
Haiku 4.5 $0.00010 $0.00183

Measured 1mo ago against content hash 0e466f2ea651, 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-remarketing-list-builder 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-remarketing-list-builder/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Remarketing List Builder

Complete guide for setting up effective remarketing lists and RLSA strategies for lead generation with advanced segmentation and messaging sequences.

GAQL: Check Remarketing List Sizes + RLSA Coverage

Use google_ads_run_gaql to audit remarketing list health and RLSA coverage:

-- All remarketing/customer match lists with sizes
SELECT user_list.name, user_list.type,
    user_list.size_for_search, user_list.size_for_display,
    user_list.membership_life_span, user_list.eligible_for_search,
    user_list.eligible_for_display
FROM user_list
ORDER BY user_list.size_for_search DESC
LIMIT 50
-- RLSA audiences active in Search campaigns (observation + targeting)
SELECT campaign.name, ad_group.name,
    ad_group_criterion.user_list.user_list,
    ad_group_criterion.type, ad_group_criterion.bid_modifier,
    metrics.impressions, metrics.clicks, metrics.conversions
FROM ad_group_audience_view
WHERE campaign.advertising_channel_type = 'SEARCH'
AND segments.date DURING LAST_30_DAYS
ORDER BY metrics.impressions DESC
LIMIT 100

Quick decision guide for choosing remarketing type in references/decision-trees.md.

Essential Remarketing Lists

LIST HIERARCHY:
┌──────────────────────────────────────────────────────────────┐
│                    ALL VISITORS (30d, min 1000 Search)        │
│    ┌────────────────────────────────────────────────────┐    │
│    │         SERVICE/PRODUCT PAGE VISITORS (30d)         │    │
│    │    ┌────────────────────────────────────────────┐   │    │
│    │    │         HIGH INTENT VISITORS (14d)          │   │    │
│    │    │    ┌────────────────────────────────────┐  │   │    │
│    │    │    │         CONVERTERS (180d)           │  │   │    │
│    │    │    └────────────────────────────────────┘  │   │    │
│    │    └────────────────────────────────────────────┘   │    │
│    └────────────────────────────────────────────────────┘    │
└──────────────────────────────────────────────────────────────┘

Read the full file on GitHub · 162 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 · 162 lines · 104 tokens per session scan A 0e466f2ea651

Subscribe to this mod's changes

google-ads-remarketing-list-builder is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 104 tokens to every session and 1,826 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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