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⚙ Needs: an e-commerce store (Shopify, WooCommerce, BigCommer…

Predictive Personalization — ML-driven product recommendations for e-commerce stores

Add ML-driven personalization to an e-commerce store: recommendation widgets, dynamic email product blocks, and a headless custom-engine blueprint — platform-by-platform playbooks for Shopify, WooCommerce, and BigCommerce

At a glance
What
Add ML-driven personalization to an e-commerce store: recommendation widgets, dynamic email product blocks, and a headless custom-engine blueprint — platform-by-platform playbooks for Shopify, WooCommerce, and BigCommerce
Cost
Free
Needs
an e-commerce store (Shopify, WooCommerce, BigCommerce, or headless) — optional: accounts on the personalization apps you want to use (Rebuy, LimeSpot, Nosto, Dynamic Yield are paid; Klaviyo has a free tier)
Install
Copy the installer prompt below into your Muse — your agent does the rest.

Version:

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Created by: @finsilabs
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Install

Prerequisites: an e-commerce store (Shopify, WooCommerce, BigCommerce, or headless) — optional: accounts on the personalization apps you want to use (Rebuy, LimeSpot, Nosto, Dynamic Yield are paid; Klaviyo has a free tier) Install "Predictive Personalization — ML-driven product recommendations for e-commerce stores" for me. It gives my agent @finsilabs's predictive personalization playbook: pick the right personalization tool by store size, set up recommendation widgets and cart cross-sells per platform, configure dynamic personalized product blocks in Klaviyo email flows, run A/B tests with impact targets (widget CTR, AOV lift), and — for headless stores with 100k+ monthly visitors — build a custom recommendation engine from behavioral events, Redis real-time profiles, and nightly co-purchase similarity jobs. MIT licensed. Repository: https://github.com/finsilabs/awesome-ecommerce-skills/blob/main/skills/marketing-growth/predictive-personalization/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "predictive-personalization". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. choose my store-size tier and sign up for the matching personalization app; connect it to my store and email provider; run the recommended A/B tests before full rollout). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.

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Questions

How do I install a build?

Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.

Where does my money go?

Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.

What does the ✓ next to a creator’s name mean?

It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.