gt-google-ads

gt-google-ads is a skill for Claude Code, Codex from Growth-Today/claude-skills. It costs 226 tokens per session (2,303 once invoked), scanned A, original, MIT.

A guide for planning and improving Google Ads for business-to-business companies. Google Search ads appear when people search for information, products, or services, so they can reach people already showing interest.

In plain words
What is it for?
Use it to review conversion tracking, plan keywords and negative keywords, organize search campaigns, examine search terms, choose bidding approaches, and improve B2B lead generation.
Why use it?
It helps prevent wasted advertising spend caused by incorrect conversion tracking, poor campaign structure, irrelevant searches, or unsuitable bidding choices. It puts measurement before optimization.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; positional $N argument.

Good fit Use it to review conversion tracking, plan keywords and negative keywords, organize search campaigns, examine search terms, choose bidding approaches, and improve B2B lead generation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/growth-today/claude-skills/gt-google-ads
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 Growth-Today/claude-skills --skill gt-google-ads
Clone the repo
git clone --depth 1 https://github.com/Growth-Today/claude-skills

Made for: Claude Code, Codex.

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 gt-google-ads

README.md
[![agentmods](https://agentmods.dev/badge/skills/growth-today/claude-skills/gt-google-ads/github.svg)](https://agentmods.dev/skills/growth-today/claude-skills/gt-google-ads)
Your own site
<a href="https://agentmods.dev/skills/growth-today/claude-skills/gt-google-ads"><img src="https://agentmods.dev/badge/skills/growth-today/claude-skills/gt-google-ads/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 gt-google-ads

Your own site · 80×15
<a href="https://agentmods.dev/skills/growth-today/claude-skills/gt-google-ads"><img src="https://agentmods.dev/badge/skills/growth-today/claude-skills/gt-google-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 226 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,303 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 $0.00226 $0.02303
Opus 5 $0.00113 $0.01151
Sonnet 5 $0.00045 $0.00461
Haiku 4.5 $0.00023 $0.00230

Measured 12d ago against content hash c67129bcc70f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

gt-google-ads 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 12d 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.

gt-google-ads/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Setup (Run Once Per Session)

Before loading any sub-skill or resource, locate this skill's install directory:

  1. Use Glob to search for **/gt-google-ads/SKILL.md
  2. The directory containing this SKILL.md is SKILL_BASE
  3. Sub-skills are at: {SKILL_BASE}/.claude/skills/{sub-skill}/gt-SKILL.md
  4. Shared resources are at: {SKILL_BASE}/resources/...

Always resolve SKILL_BASE dynamically — never assume a hardcoded install location.

GT Google Ads — Orchestrator

Expert B2B Google Ads strategist. Google Search captures active buying intent — the highest-intent traffic you can buy — but it is also the easiest channel to waste money on. This skill does two jobs: stop the bleeding (wasted spend, broken tracking, missing guardrails), then build a structure that turns search intent into pipeline, not just clicks.

The first rule: fix conversion tracking before anything else. If tracking is wrong, every bid, negative, and optimisation downstream is made on bad data. Audit tracking first, structure second, tactics third. B2B only — most Google Ads advice online is e-commerce; before applying any generic tactic or benchmark, run it through {SKILL_BASE}/resources/references/b2b-guardrail.md.

Sub-Skill Routing

User Intent Sub-Skill Path
Account structure, 3-tier funnel, brand vs non-brand, budget allocation campaign-setup {SKILL_BASE}/.claude/skills/campaign-setup/gt-SKILL.md
Keyword strategy, match types, intent segmentation, competitor conquest keywords {SKILL_BASE}/.claude/skills/keywords/gt-SKILL.md
Negative keywords, exclusion buckets, n-gram mining negative-keywords {SKILL_BASE}/.claude/skills/negative-keywords/gt-SKILL.md
Search terms report mining, wasted-query detection, review cadence search-terms {SKILL_BASE}/.claude/skills/search-terms/gt-SKILL.md
Smart Bidding, tCPA/tROAS, Journey-Aware Bidding, value-based bidding bidding {SKILL_BASE}/.claude/skills/bidding/gt-SKILL.md
Performance Max setup, guardrails, brand cannibalisation, asset groups pmax {SKILL_BASE}/.claude/skills/pmax/gt-SKILL.md
Quality Score diagnosis, message match, high-spend low-QS triage quality-score {SKILL_BASE}/.claude/skills/quality-score/gt-SKILL.md
Conversion tracking, offline import, Enhanced Conversions for Leads, Consent Mode conversion-tracking {SKILL_BASE}/.claude/skills/conversion-tracking/gt-SKILL.md
Ad copy, Pain-Proof-CTA, RSA pin strategy, extensions ad-copy {SKILL_BASE}/.claude/skills/ad-copy/gt-SKILL.md
Full account audit, wasted-spend tally, prioritised fix list audit {SKILL_BASE}/.claude/skills/audit/gt-SKILL.md
Live account ops: GAQL queries, PPC math/forecasting, safe writes (CEP), MCP connection live-ops {SKILL_BASE}/.claude/skills/live-ops/gt-SKILL.md

Read the full file on GitHub · 95 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. 12d ago First seen · 95 lines · 226 tokens per session scan A c67129bcc70f

Subscribe to this mod's changes

gt-google-ads is a skill published in the GitHub repository Growth-Today/claude-skills (3 stars, last pushed yesterday), licensed MIT. It adds 226 tokens to every session and 2,303 once invoked, about $0.0011 per session on Opus 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 2026-08-31.

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