A set of instructions for planning and improving paid advertising campaigns on services such as Google Ads, Meta, LinkedIn, and X. It covers campaign goals, budgets, audiences, offers, tracking, and performance measures.

Use it to plan search or social campaigns, write advertising copy, choose audiences, set budgets, track conversions, and improve measures such as cost per acquisition or return on ad spend.

It helps turn a business objective into an advertising plan and identifies the information needed to judge whether campaigns are working.

paid-ads — Skill for Claude Code and Codex by Orkas-AI

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 Orkas-AI/Orkas-Awesome-AgentSkills --skill paid-ads

Clone the repo

git clone --depth 1 https://github.com/Orkas-AI/Orkas-Awesome-AgentSkills

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/paid-ads/github.svg)](https://agentmods.dev/skills/orkas-ai/orkas-awesome-agentskills/paid-ads)

Your own site

<a href="https://agentmods.dev/skills/orkas-ai/orkas-awesome-agentskills/paid-ads"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/orkas-ai/orkas-awesome-agentskills/paid-ads"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/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.

Origin 100% copy Near-identical to another mod 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.

Model	Per session	Once 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 12d ago against content hash 0d00d270771f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 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.

Origin

This is a copy

100% identical to paid-ads — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

product/skills/marketing-skills/references/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.

Paid Ads

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.

12d 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 Orkas-AI/Orkas-Awesome-AgentSkills (13 stars, last pushed 2mo ago), 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. It is 100% identical to paid-ads, differing in 0 lines, and is treated as a copy.

Marketing and SEO agent-framework agent-skills ai-agents ai-tools automation awesome-list

viral-tech-reel-editor

End-to-end viral tech reel production for Instagram Reels and TikTok using 2026 trend grammar — retention-first pacing, punch-ins, 3D cinematic AI-generated shots, motion design graphics, proof b-roll, trending SFX, karaoke captions (Georgian/English), safe-zone layout, and QA-gated 1080x1920 export. This skill should…

tornikebolokadze1-cyber/awesome-ai-pulse-georgia · 172 tokens

implementing-aws-config-rules-for-compliance

Implementing AWS Config rules for continuous compliance monitoring of AWS resources, deploying managed and custom rules aligned to CIS and PCI DSS frameworks, configuring automatic remediation with SSM Automation, and aggregating compliance data across accounts.

adriannoes/awesome-agentic-ai · 53 tokens

paid-ads