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E-Commerce Personalization 🎯 · nexscope-ai | DecimalAI

marketingby nexscope-ai

E-Commerce Personalization 🎯

nexscope-ai/ecommerce-personalization

Source nexscope-ai/ecommerce-skills ↗License MIT

Design personalization strategies for e-commerce stores. Product recommendations, dynamic content, customer segmentation, and personalized email/SMS based on browsing and purchase behavior.

SkillScore68Maintained

Automatic

Marketing & Content pack

Last verified 8/19/2026

What it changes

Passed 15 of 22 test cases with the skill, and 7 of 22 without it.

Without skill32%

With skill68%

Checks it passed that the model alone missed

Concludes the response with a section detailing concrete next steps
Asks a single follow-up message containing multiple-choice questions
Permits shorthand selections such as 1a 2b 3c for the follow-up choices

and 12 more in the full report

12 fixed3 passed either way3 still failing4 broke

Pass-rate lift: +36 pp
Tokens: +9%
Agent turns: 0%
Response time: -11%

Model gemini-3.6-flashMeasured 8/19/2026v115 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/nexscope-ai-ecommerce-personalization/SKILL.md https://app.decimal.ai/s/nexscope-ai-ecommerce-personalization/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add nexscope-ai-ecommerce-personalization, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/nexscope-ai-ecommerce-personalization/ and pins it in .decimal/skills.lock

decimalai skills add nexscope-ai-ecommerce-personalization

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/nexscope-ai-ecommerce-personalization/SKILL.md https://app.decimal.ai/s/nexscope-ai-ecommerce-personalization/SKILL.md

Raw file: /s/nexscope-ai-ecommerce-personalization/SKILL.md ↗ · machine-readable summary at /s/nexscope-ai-ecommerce-personalization.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 12

Prompt

We want to A/B test personalized homepage hero banners versus static banners on our WooCommerce apparel shop. How should we structure the experiment variant split?

What was checked, without and with the skill
Checked	Without skill	With skill
Outputs multiple-choice clarification questions to determine operational details first	Missed	Passed

case-11 · gemini-3.6-flash · 8/19/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md55 linessingle file

E-Commerce Personalization 🎯

Design personalization strategies for e-commerce stores. Product recommendations, dynamic content, customer segmentation, and personalized email/SMS based on browsing and purchase behavior.

Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

Install

npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-personalization -g

Usage

I run a Shopify store with 5,000 customers. How do I set up personalization? I want to show different products to different customer segments.

Capabilities

Customer segmentation framework (RFM, behavioral, demographic)
Product recommendation engine strategy (collaborative, content-based, hybrid)
Dynamic content personalization for homepage, PDP, and checkout
Personalized email/SMS strategy by customer segment
A/B testing framework for personalization
Privacy-compliant data collection strategy
Tool and app recommendations by platform (Shopify, WooCommerce)

How This Skill Works

Step 1: Collect information from the user's message — product, platform, current situation, and goals.

Step 2: Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").

Step 3: Research and analyze using the frameworks and methodology below.

Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.

Track record

Benchmark

15 / 22

test cases passed, vs 7 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

nexscope-ai / ecommerce-skills

ecommerce-personalization/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

E-Commerce Personalization 🎯

Install

Usage

Capabilities

How This Skill Works

Track record

Benchmark

Adoption

SkillSafety

Source

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