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.
npx skills add thatrebeccarae/claude-marketing --skill shopifygit clone --depth 1 https://github.com/thatrebeccarae/claude-marketingWrote 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.
[](https://agentmods.dev/skills/thatrebeccarae/claude-marketing/shopify)<a href="https://agentmods.dev/skills/thatrebeccarae/claude-marketing/shopify"><img src="https://agentmods.dev/badge/skills/thatrebeccarae/claude-marketing/shopify/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.
<a href="https://agentmods.dev/skills/thatrebeccarae/claude-marketing/shopify"><img src="https://agentmods.dev/badge/skills/thatrebeccarae/claude-marketing/shopify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00053 | $0.02325 |
| Opus 5.5 | $0.00021 | $0.00930 |
| Sonnet 5.5 | $0.00011 | $0.00465 |
| Haiku 4.5 | $0.00005 | $0.00232 |
Grade A, and why
shopify 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shopify Marketing & E-commerce
Expert-level guidance for Shopify — optimizing store conversion, marketing integrations, analytics, product feeds, and the full e-commerce marketing stack.
Install
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/shopify ~/.claude/skills/
Core Capabilities
Store Performance Auditing
- Conversion funnel analysis (visit → add to cart → checkout → purchase)
- Site speed and Core Web Vitals assessment
- Mobile experience review (60-70%+ of DTC traffic is mobile)
- Checkout optimization (Shopify Checkout extensibility, one-page checkout)
- Product page optimization (layout, copy, social proof, urgency)
Marketing Integrations
- Email/SMS: Klaviyo (recommended), Omnisend, Postscript, Attentive
- Ads: Meta Pixel + CAPI, Google Ads + Enhanced Conversions, TikTok Pixel, Pinterest Tag
- Attribution: Triple Whale, Northbeam, Polar Analytics, Lifetimely
- Reviews: Judge.me, Yotpo, Stamped, Loox (photo reviews)
- Loyalty: Smile.io, LoyaltyLion, Yotpo Loyalty
- Subscriptions: Recharge, Loop, Bold, Skio
- SEO: JSON-LD structured data, sitemap optimization, page speed
Analytics & Reporting
- Shopify Analytics (built-in) — sessions, conversion rate, AOV, returning customer rate
- GA4 integration via Google & YouTube channel or GTM
- Server-side tracking setup (Shopify Pixel API + CAPI)
- Customer cohort analysis (LTV, retention, purchase frequency)
- Product analytics (sell-through rate, margin analysis)
Product Feed Management
- Google Merchant Center feed optimization
- Facebook/Instagram Catalog (via Meta Commerce Manager)
- Feed attribute optimization: title, description, product type, custom labels
- Variant handling and inventory sync
- Disapproval diagnosis and feed error resolution
Conversion Rate Optimization (CRO)
- A/B testing (using Shopify's built-in or tools like Shoplift, Visually)
- Collection page optimization (filters, sorting, layout)
- Cart and checkout optimization (cart drawer vs page, upsells, trust badges)
- Post-purchase upsell flows (Zipify OCU, ReConvert, AfterSell)
- Pop-up and lead capture strategy (Privy, Justuno, Wisepops)
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 226 lines · 53 tokens per session scan A 8d846356e4a5
shopify is a skill published in the GitHub repository thatrebeccarae/claude-marketing (187 stars, last pushed 5mo ago), licensed MIT. It adds 53 tokens to every session and 2,325 once invoked, about $0.0002 per session on Opus 5.5. 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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