google-ads

A working guide for planning, creating, and improving Google Ads campaigns. Google Ads is Google's advertising platform, covering search results, shopping listings, YouTube, display placements, and other ad locations.

In plain words
What is it for?
Use it to plan or manage Search, Performance Max, Display, Shopping, Demand Gen, and YouTube campaigns, including keyword research, bidding, asset groups, and conversion measurement.
Why use it?
It helps turn advertising goals into campaign structures, keywords, audiences, bidding choices, ad materials, and conversion tracking. When connected tools are available, it also describes how to inspect and modify live accounts safely.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/squadcodercom/squadcoder/google-ads
Any agent
npx skills add squadcodercom/squadcoder --skill google-ads
Clone the repo
git clone --depth 1 https://github.com/squadcodercom/squadcoder

Made for: Claude Code, Codex.

Per session 262 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,700 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00262 $0.03700
Opus 5 $0.00131 $0.01850
Sonnet 5 $0.00052 $0.00740
Haiku 4.5 $0.00026 $0.00370

Measured yesterday against content hash 34a42c2659b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 yesterday.

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.

.squadcoder/skills/google-ads/SKILL.md · 218 lines

How it starts

The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.

A practitioner's guide to architecting, launching, and scaling Google Ads accounts. Use real platform terminology and current features. When the user has connected the bundled google-ads MCP (uvx googleads/google-ads-mcp), drive it for live account operations: read with gads_google_ads_search_google_ads (GAQL), build with the gads_campaign_*, gads_ad_group_*, gads_asset_group_*, gads_bidding_strategy_* and gads_keyword_* tools, and pull keyword ideas with gads_keyword_plan_idea_*. Always read before you write, and stage large changes through gads_batch_job_*.

Reuse note: this skill is authored fresh for SquadCoder; structure informed by public MIT Google Ads skill packs (e.g. TheMattBerman/google-ads-copilot, nowork-studio/NotFair).


1. Account & campaign structure

Hierarchy: MCC (manager) → Account → Campaign → Ad group / Asset group → Ads / Assets → Keywords / Audiences.

Pick the campaign type by intent and inventory:

  • Search — high-intent text ads on the SERP. The backbone of most accounts. Use intent-tight ad groups.
  • Performance Max (PMax) — one campaign serving all Google inventory (Search, Shopping, Display, YouTube, Discover, Gmail, Maps) via asset groups + audience signals. Goal-based; great for ecommerce + lead-gen once you have conversion data. It cannibalizes Shopping/brand Search, so guard brand terms.
  • Shopping — product ads from a Merchant Center feed. Standard Shopping gives priority/placement control; PMax replaces "Smart Shopping". Use feed quality (titles, GTINs, product types) as your lever.
  • Demand Gen — visually rich social-style ads on YouTube (in-feed, Shorts), Discover, and Gmail. Use for mid-funnel demand creation with lookalike ("similar") segments and your 1st-party lists.
  • Display — GDN banners/responsive display. Cheap reach + remarketing; weak for cold prospecting alone.
  • YouTube / Video — objectives: brand awareness/reach, consideration (in-stream skippable, in-feed), action (Video action campaigns / VAC). Use bumpers (6s) for frequency, skippable in-stream for storytelling.

Read the full file on GitHub · 218 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. yesterday First seen · 218 lines · 262 tokens per session scan A 34a42c2659b9

Subscribe to this mod's changes

google-ads is a skill published in the GitHub repository squadcodercom/squadcoder (11 stars, last pushed 2mo ago), licensed MIT. It adds 262 tokens to every session and 3,700 once invoked, about $0.0013 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 2026-08-30.

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