Paid ads

Skill mfwarren/entrepreneur-claude-skills/skills/marketing-growth/paid-ads

Production-ready entrepreneurship skills for Claude Code — marketing, sales, operations, finance, and leadership. 24 skills built by a founder, for founders.From the repository description

Install

npx -y skills add mfwarren/entrepreneur-claude-skills --skill paid-ads

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

2.3 KB, 486 tokens by cl100k_base, as published. Nobody here has run it

Paid Ads

Meta Ads and Google Ads creative, copy, A/B test variants, and performance analysis frameworks.

Purpose

Create high-converting ad copy and creative briefs for paid acquisition channels. Focus on hook, offer, and CTA — the three elements that determine ad performance.

Workflow

Step 1: Gather Context

Platform: Meta (Facebook/Instagram), Google Search, Google Display
Campaign objective: awareness, traffic, leads, conversions
Product/offer being advertised
Target audience (demographics, interests, pain points)
Budget range and current performance (if running ads)
Landing page URL

Step 2: Ad Copy Creation

Meta Ads (Facebook/Instagram):

Primary text: Hook → problem → solution → CTA (125 chars above fold)
Headline: Under 40 chars, benefit-focused
Description: Supporting detail, under 30 chars
Generate 5 variants for A/B testing

Google Search Ads:

Headlines (up to 15): 30 chars each, keyword-rich
Descriptions (up to 4): 90 chars each
Include numbers, benefits, and CTAs
Match search intent

Step 3: A/B Test Matrix

Test one variable at a time: hook, offer, CTA, audience
Provide 3-5 variants of each element
Recommend test duration and budget allocation

Step 4: Creative Brief (for designers)

Visual direction: what the image/video should show
Text overlay (if any)
Format specs per placement
Reference examples (describe, don't link)

Output Format

## Ad Campaign: [Product/Offer]

### Meta Ads — Variant Set
| # | Primary Text | Headline | CTA |
|---|-------------|----------|-----|
| 1 | [text] | [headline] | [cta] |

### Google Search Ads
**Headlines:** [list]
**Descriptions:** [list]

### A/B Test Plan
[Test matrix]

Constraints

Follow platform ad policies (no prohibited claims)
Never make health, income, or guarantee claims that can't be substantiated
Headlines must be under character limits
Always note that ads need creative assets the user must provide

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most marketing audience skills give in 486 tokens

Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07

Apply Poppins font to headingsin 41 of 690, across 6 files
Apply Lora font to body textin 41 of 690, across 6 files
Use Arial fallback for headingsin 39 of 690, across 4 files
Use Georgia fallback for body textin 39 of 690, across 4 files
Maintain text hierarchy and formattingin 39 of 690, across 4 files
Use accent colors for non-text shapesin 38 of 690, across 3 files
Use RGB values for precise color matchingin 38 of 690, across 3 files
Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
Use active voice instead of passive voicein 26 of 690, across 10 files
Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
Prioritize clarity over clevernessin 22 of 690, across 8 files

Said here and by no other author read

Gather campaign context before creating ads
Structure Meta primary text as hook, problem, solution, and CTA
Write Google Search headlines under thirty characters each
Write Google Search descriptions under ninety characters each
Provide three to five variants of each tested element
Recommend test duration and budget allocation

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.