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SEO55k · #1754

ads

Helps your agent with paid advertising campaigns. It's useful for managing ads on platforms like Google and Facebook.

What it does

Helps create and manage paid ads on platforms like Google, Facebook, and LinkedIn. The goal is to attract customers efficiently.

When to use it

  • ✓Need to create an ad campaign from scratch.
  • ✓Want to know if paid advertising is worth the investment.
  • ✓Need to optimize ads that aren't performing well.

Example of what to ask your AI

“I want to create a Google Ads campaign to sell my online course. What's the ideal budget and who should I target?”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/coreyhaines31/marketingskills/blob/main/skills/ads/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/coreyhaines31/marketingskills/blob/main/skills/ads/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The AI asks about your goals (sales, leads), target audience, what you're promoting, and your budget. With this information, it suggests how to set up and manage your ads.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add coreyhaines31/marketingskills --skill ads

Or download just the file:

curl -L https://raw.githubusercontent.com/coreyhaines31/marketingskills/main/skills/ads/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from 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

Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task. Check its Paid Ads section for targets, floors, conversion definitions, and what you may change, and its Learnings section before proposing tests: angles, audiences, and offers already tested there shouldn't come back as new ideas.

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?

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?

Reference Routing

This skill's depth lives in references — load by intent. For any operational decision on a live account (kill/keep/scale/budget), load the relevant playbook before answering; the thresholds live there, not here.

User intent Load Covers
"Can I afford this channel?", payback math, budgeting per plan, whether LTV:CAC lies payback-period.md Why LTV:CAC is useless (4 flaws), Gross-margin payback and cohort recovery (3–12mo planning target), $9-vs-$999 worked examples, OOH+social, narrative momentum
B2B strategy, funnel stages, budget splits, kill rules, lead quality, breakeven math b2b-paid-playbook.md Demand lifecycle, leading/lagging signals, kill rules, offline conversion loop, U/B/F lead scoring, scaling quadrant
Meta operations: when to kill/graduate/scale an ad, fatigue, testing structure, partnership/creator ads, declining reach meta-decision-system.md TCPL-anchored decision tree, ad-count ceiling, 80/20 CBO structure, fatigue bands, lead forms, Advantage+ transition, partnership-ads playbook, rolling-reach signal
LinkedIn operations: bidding, audience sizing, scaling, benchmarks, TLAs, formats linkedin-b2b-playbook.md Bidding progression, penetration scaling, sizing rules, funnel benchmarks, document/conversation ads, audit shortlist
Google Search: what to spend on first, structure, match types, negatives, PMax google-search-playbook.md Intent ladder, account structure, match-type gates, negatives, bidding by volume, offline conversions, PMax guardrails
Named-account targeting, pipeline acceleration, cross-channel retargeting abm-playbook.md LinkedIn/Meta ABM, list mechanics, acceleration campaigns, UTM cross-channel remarketing, ABM measurement
Generating Google RSAs rsa-output-spec.md Mandatory output spec — limits, sidecars, template, self-check
Weekly or daily account check, "what changed," stakeholder readout operating-check.md Ordered six-step check, HOLD/FIX/TEST/INVESTIGATE calls, facts/hypotheses/missing data, Friday readout under 200 words
Auditing a live account, grading account health, quoting benchmarks, recommending changes audit-guardrails.md Pass/fail/unknown scoring, evidence coverage, recommendation safety, hard stops, benchmark discipline

…

FAQ

What ad platforms can the AI help with?

It can help with Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, and other paid ad platforms.

What are 'paid ads'?

These are advertisements you pay to display on online platforms, like Google and social media, to reach more people interested in your product or service.

What does 'optimize' ads mean?

Optimizing means adjusting ads so they perform better, spending less money to get more results (like sales or leads).

Details

Original description by the author

When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' 'audience targeting,' 'Google Ads,' 'Facebook ads,' 'LinkedIn ads,' 'ad budget,' 'cost per click,' 'ad spend,' 'should I run ads,' 'ABM,' 'account-based market

repo: coreyhaines31/marketingskills

Popularity

GitHub stars
55k
Ranking position
#1754
License
MIT
Updated
10/15/2026

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