paid-ads

paid-ads is a skill for Claude Code, Codex from davila7/claude-code-templates. It costs 93 tokens per session (3,620 once invoked), scanned A, original, MIT.

A guide to running paid advertising campaigns on platforms such as Google Ads, Meta, LinkedIn, and X. It covers campaign goals, audiences, budgets, offers, and performance measures.

In plain words
What is it for?
Use it to plan campaigns, write ad copy, choose audiences, select platforms, set targets such as cost per acquisition or return on ad spend, and improve results.
Why use it?
It helps turn advertising goals and customer information into a campaign plan. It also helps identify why ads or the signup and sales path may be underperforming.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

not rated 31krepo +44 today A scan Socket: passSnyk: warnSkillSpector: pass 93 tokens original MIT

Good fit Use it to plan campaigns, write ad copy, choose audiences, select platforms, set targets such as cost per acquisition or return on ad spend, and improve results.

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Install with agentmods
npx agentmods add skills/davila7/claude-code-templates/paid-ads
About the project

Claude Code Templates is a command-line tool and catalogue for configuring Anthropic’s Claude Code with agents, commands, settings, hooks, integrations, skills, and project templates. Developers use it to browse and install reusable components for their coding workflows. The catalogue includes many of these Claude Code components.

davila7/claude-code-templates · 30,566 stars · on GitHub · aitmpl.com

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 davila7/claude-code-templates --skill paid-ads
Clone the repo
git clone --depth 1 https://github.com/davila7/claude-code-templates

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 paid-ads

README.md
[![agentmods](https://agentmods.dev/badge/skills/davila7/claude-code-templates/paid-ads/github.svg)](https://agentmods.dev/skills/davila7/claude-code-templates/paid-ads)
Your own site
<a href="https://agentmods.dev/skills/davila7/claude-code-templates/paid-ads"><img src="https://agentmods.dev/badge/skills/davila7/claude-code-templates/paid-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 paid-ads

Your own site · 80×15
<a href="https://agentmods.dev/skills/davila7/claude-code-templates/paid-ads"><img src="https://agentmods.dev/badge/skills/davila7/claude-code-templates/paid-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,620 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. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk warn 15 Feb 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00093 $0.03620
Opus 5 $0.00046 $0.01810
Sonnet 5 $0.00019 $0.00724
Haiku 4.5 $0.00009 $0.00362

Measured 5d ago against content hash 0d00d270771f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

paid-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 5d 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.

Origin

Copies of this mod

4 near-identical copies found in the catalogue:

  • paid-ads — 100% identical, 0 lines differ
  • paid-ads — 100% identical, 0 lines differ
  • paid-ads — 100% identical, 0 lines differ
  • paid-ads — 95% identical, 5 lines differ
cli-tool/components/skills/business-marketing/paid-ads/SKILL.md · 552 lines

How it starts

The opening of the file, as written. The whole thing — 552 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an expert performance marketer with direct access to ad platform accounts. Your goal is to help create, optimize, and scale paid advertising campaigns that drive efficient customer acquisition.

Before Starting

Gather this context (ask if not provided):

1. Campaign Goals

  • What's the primary objective? (Awareness, traffic, leads, sales, app installs)
  • What's the target CPA or ROAS?
  • What's the monthly/weekly budget?
  • Any constraints? (Brand guidelines, compliance, geographic)

2. Product & Offer

  • What are you promoting? (Product, free trial, lead magnet, demo)
  • What's the landing page URL?
  • What makes this offer compelling?
  • Any promotions or urgency elements?

3. Audience

  • Who is the ideal customer?
  • What problem does your product solve for them?
  • What are they searching for or interested in?
  • Do you have existing customer data for lookalikes?

4. Current State

  • Have you run ads before? What worked/didn't?
  • Do you have existing pixel/conversion data?
  • What's your current funnel conversion rate?
  • Any existing creative assets?

Platform Selection Guide

Google Ads

Best for: High-intent search traffic, capturing existing demand Use when:

  • People actively search for your solution
  • You have clear keywords with commercial intent
  • You want bottom-of-funnel conversions

Campaign types:

  • Search: Keyword-targeted text ads
  • Performance Max: AI-driven cross-channel
  • Display: Banner ads across Google network
  • YouTube: Video ads
  • Demand Gen: Discovery and Gmail placements

Meta (Facebook/Instagram)

Best for: Demand generation, visual products, broad targeting Use when:

  • Your product has visual appeal
  • You're creating demand (not just capturing it)
  • You have strong creative assets
  • You want to build audiences for retargeting

Campaign types:

  • Advantage+ Shopping: E-commerce automation
  • Lead Gen: In-platform lead forms
  • Conversions: Website conversion optimization
  • Traffic: Link clicks to site
  • Engagement: Social proof building

Read the full file on GitHub · 552 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. 5d ago First seen · 552 lines · 93 tokens per session scan A 0d00d270771f

Subscribe to this mod's changes

paid-ads is a skill published in the GitHub repository davila7/claude-code-templates (30,566 stars, last pushed today), licensed MIT. It adds 93 tokens to every session and 3,620 once invoked, about $0.0005 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 2026-09-03.

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