AI Ads for Claude Code: generate ad strategy and platform copy without an ad account login

Scale at a glance

The 15 slash commands split into four groups: strategy and analysis (full strategy with Ad Readiness Score, quick snapshots, audience research, competitor intelligence, keyword strategy, performance audits), creative and copy (platform-specific ad copy, scroll-stopping hooks, creative briefs, video scripts in 15s/30s/60s formats), funnel and budget (TOFU/MOFU/BOFU/retargeting architecture, budget allocation across platforms, A/B test plans, landing page audits), and reporting. The Ad Readiness Score is a weighted composite: Audience Clarity worth 25%, Creative Quality and Funnel Architecture at 20% each, Budget Efficiency at 20%, and Competitive Position at 15%, rolled up into a 0-100 score and translated to a letter grade from A+ to F with a prioritized "quick wins" list attached.

The output of /ads report-pdf is a six-page document built for handing to a client or a boss: score dashboard, audience personas, funnel diagrams, sample ad copy, and budget projections in one file.

Installation

curl -fsSL https://raw.githubusercontent.com/zubair-trabzada/ai-ads-claude/main/install.sh | bash

That one-liner is the README's documented install path. If you'd rather inspect the script first, the manual route is git clone the repo, then cd ai-ads-claude && chmod +x install.sh && ./install.sh — same result, just with a look at what you're running before it runs. There's also a matching uninstall script (uninstall.sh) if you want it gone cleanly later.

Using it day to day

In practice you run /ads strategy against a business's URL and let the five agents work — a few minutes later you've got an audience breakdown, funnel structure, budget split across whichever of the six platforms make sense, and copy drafts for each one. Say a three-location boutique fitness studio wants to know if paid ads are worth the spend before committing a marketing budget: point the skill at their site, and it comes back with an Ad Readiness Score, a graded PDF, and platform-specific copy for Meta and Google without anyone creating an Ads Manager account or generating an API key first.

That's the actual value of the no-login design: you get to generate ad copy without connecting ad accounts, which matters when you're still deciding whether to advertise at all, not just how. Once the studio decides to actually launch, the campaign funnel and budget split it produced become the brief you hand to whoever's running the accounts.

My take

For the specific job of "should this business even run paid ads, and if so with what strategy," this is a genuinely useful first pass — the Ad Readiness Score gives you a defensible starting number instead of a gut feeling, and having six platforms' worth of copy drafted before you've logged into a single ads manager is a real time-saver for a founder or a small agency doing discovery work. One thing worth flagging plainly: the repo hasn't had a real commit since April 8, 2026, which puts it around four months stale as of this write-up. That matters less if you're running a one-off strategy-generation session — the skill still works as documented — but it's worth a quick check on GitHub for a maintenance update before leaning on this for anything you'd wire into an ongoing workflow.

If you want a broader marketing playbook beyond ad strategy, marketingskills is worth a look — Corey Haines' pack, also MIT licensed, covers the marketing operating system around the campaign rather than just the ads inside it. And once you've actually launched with the strategy ai-ads-claude hands you, claude-ads is the natural next stop: it's built for auditing live campaigns across a dozen platforms, which is exactly the gap ai-ads-claude leaves open since it stops before anyone touches a real ad account.

Frequently asked questions