skill-060-in-market-custom-intent-layering

skill-060-in-market-custom-intent-layering is a skill for Claude Code from TrueClicks/claude-plugins. It costs 26 tokens per session (744 once invoked), scanned A, original, MIT.

A Google Ads analysis skill for reviewing in-market segments and custom intent audiences, which are groups of people showing interest in products or searches.

In plain words
What is it for?
It reviews audience settings and recent performance, then recommends audience segments to add or custom intent audiences to create.
Why use it?
It helps find which audience groups perform well and where targeting is missing, so ad spend can be focused more precisely.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the google-ads plugin — 145 skills, 4 commands shipped together

Good fit It reviews audience settings and recent performance, then recommends audience segments to add or custom intent audiences to create.

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Install with agentmods
npx agentmods add skills/trueclicks/claude-plugins/skill-060-in-market-custom-intent-layering
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 TrueClicks/claude-plugins --skill skill-060-in-market-custom-intent-layering
Clone the repo
git clone --depth 1 https://github.com/TrueClicks/claude-plugins

Made for: Claude Code.

Or install google-ads, the plugin that ships this one along with the rest of its 145 skills, 4 commands.

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 skill-060-in-market-custom-intent-layering

README.md
[![agentmods](https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-060-in-market-custom-intent-layering/github.svg)](https://agentmods.dev/skills/trueclicks/claude-plugins/skill-060-in-market-custom-intent-layering)
Your own site
<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-060-in-market-custom-intent-layering"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-060-in-market-custom-intent-layering/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-060-in-market-custom-intent-layering"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-060-in-market-custom-intent-layering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 744 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 $0.00026 $0.00744
Opus 5.5 $0.00010 $0.00298
Sonnet 5.5 $0.00005 $0.00149
Haiku 4.5 $0.00003 $0.00074

Measured 21d ago against content hash f1a916c8a000, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skill-060-in-market-custom-intent-layering 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 21d 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.

plugins/google-ads/skills/skill-060-in-market-custom-intent-layering/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill 060: In-Market and Custom Intent Audience Layering

Purpose

In-market segments and custom intent audiences help reach users with demonstrated purchase intent. This skill evaluates current usage, identifies performance patterns, and recommends additional segments to add or custom intent audiences to create.

Data Requirements

Data Source: Custom GAQL Required

The standard export includes audience targeting setup but not audience-level performance metrics.

Standard Data:

  • data/account/campaigns/*/audience_targeting.md - Current audience setup

GAQL Query:

SELECT
  campaign.name,
  ad_group.name,
  ad_group_criterion.user_interest.user_interest_category,
  ad_group_criterion.custom_intent.custom_intent,
  ad_group_criterion.bid_modifier,
  metrics.impressions,
  metrics.clicks,
  metrics.cost_micros,
  metrics.conversions,
  metrics.conversions_value
FROM ad_group_audience_view
WHERE segments.date DURING LAST_30_DAYS
  AND metrics.impressions > 0

Run via /google-ads:get-custom with query name audience_performance.

Analysis Steps

  1. Review current audience setup: Read audience targeting files, identify in-market audiences in use, identify custom intent audiences, note targeting mode.

  2. Evaluate in-market audience performance: Fetch performance data, calculate CPA/ROAS vs non-audience traffic, identify high and low performers.

  3. Identify missing opportunities: Relevant in-market segments not used, custom intent audiences not created, high-performing audiences underutilized.

  4. Generate recommendations: In-market segments to add, custom intent audiences to create, bid adjustments for existing audiences.

Thresholds

Condition Severity
No in-market or custom intent audiences used High
In-market audience CPA >30% below average High (increase bid)
In-market audience CPA >50% above average Warning (decrease/remove)
Missing relevant in-market category for business Warning
Custom intent audience not created for competitors Info

Read the full file on GitHub · 92 lines

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. 21d ago First seen · 92 lines · 26 tokens per session scan A f1a916c8a000

Subscribe to this mod's changes

skill-060-in-market-custom-intent-layering is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 22d ago), licensed MIT. It adds 26 tokens to every session and 744 once invoked, about $0.0001 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 2026-10-08.

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