ecommerce-checkout-optimization — Claude Code skill: fix cart drop-off
Walks through your checkout funnel and points at where buyers abandon the cart. Useful when checkout conversion stalls.
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-checkout-optimization -a claude-codeWhat ecommerce-checkout-optimization does
The skill runs a step-by-step review of your checkout. It first pulls context from your message: product, platform, current situation, goals. Then it asks one follow-up question in multiple-choice form, and shorthand answers like "1b 2c 3a" are fine. Analysis follows the built-in frameworks, and the output is a findings summary, a prioritized action list, and concrete next steps. Estimates built on incomplete data get flagged with a warning marker.
Inside are checkout funnel analysis with drop-off points, cart abandonment benchmarking, payment method selection (PayPal, Apple Pay, BNPL, local methods), and the guest checkout versus account creation call. Trust signals get their own pass: security badges, guarantees, return policy. So do shipping cost and delivery time transparency, plus what happens after payment, from order confirmation to cross-sell.
The skill lists Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay and BigCommerce. On any other platform you carry the advice over by hand, so check whether the payment and trust-signal suggestions actually fit your cart before acting on them. Install runs through npx skills add.
What it helps with
- find which checkout step loses buyers
- compare your cart abandonment rate against a benchmark
- pick payment methods that match your shoppers
- decide whether to allow guest checkout
- place security badges and guarantees where they count
Example prompts for the agent
- My Shopify store has 68% cart abandonment and a 3-step checkout. Find the biggest friction points and fix them.
- Audit the checkout funnel on WooCommerce and tell me where buyers drop off.
- Should I enable guest checkout, and which payment methods should I add?
How to install ecommerce-checkout-optimization
1Skills CLI (Vercel)
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-checkout-optimization -a claude-code2Manually: put the files in place
~/.claude/skills/ecommerce-checkout-optimization/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/ecommerce-checkout-optimization/
1Skills CLI (Vercel)
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-checkout-optimization -a codex2Manually: put the files in place
.agents/skills/ecommerce-checkout-optimization/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-checkout-optimization -a cursor2Manually: put the files in place
.cursor/skills/ecommerce-checkout-optimization/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install nexscope-ai/eCommerce-Skills ecommerce-checkout-optimization2Manually: put the files in place
.github/skills/ecommerce-checkout-optimization/SKILL.md1Skills CLI (Vercel)
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-checkout-optimization -a gemini-cli2Platform CLI
gemini skills install https://github.com/nexscope-ai/eCommerce-Skills --path ecommerce-checkout-optimizationManually: put the files in place
.devin/skills/ecommerce-checkout-optimization/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-checkout-optimization -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about ecommerce-checkout-optimization
How do I install ecommerce-checkout-optimization in Claude?
Run npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-checkout-optimization -a claude-code. The skill file then sits at ~/.claude/skills/ecommerce-checkout-optimization/SKILL.md.
What does ecommerce-checkout-optimization do?
It analyzes the checkout funnel, finds drop-off points, and suggests payment methods and trust signals. You get a findings summary and a prioritized action list.
Which store platforms does the skill cover?
It lists Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay and BigCommerce. On other platforms you adapt the recommendations yourself.
Source text
SKILL.md · MIT
---
name: ecommerce-checkout-optimization
description: "Optimize e-commerce checkout flow to reduce cart abandonment. Friction analysis, payment method optimization, trust signals, and checkout UX best practices."
metadata:
nexscope:
emoji: "💳"
category: ecommerce
---
# E-Commerce Checkout Optimization 💳
Optimize e-commerce checkout flow to reduce cart abandonment. Friction analysis, payment method optimization, trust signals, and checkout UX best practices.
**Supported platforms:** Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.
Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.
## Install
```bash
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-checkout-optimization -g
```
## Usage
```
My Shopify store has 68% cart abandonment rate. Checkout has 3 steps. Help me identify and fix the biggest friction points.
```
## Capabilities
- Checkout funnel analysis (drop-off points identification)
- Cart abandonment rate benchmarking (70% average — Baymard Institute)
- Payment method optimization (PayPal, Apple Pay, BNPL, local methods)
- Guest checkout vs account creation strategy
- Trust signal placement (security badges, guarantees, return policy)
- Shipping cost and delivery time transparency
- Post-checkout optimization (order confirmation, cross-sell)
## 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.
## Output Format
- Start with a summary of findings
- Include specific data points and benchmarks where available
- Provide prioritized action items
- Mark estimates with ⚠️ when based on incomplete data
- End with concrete next steps
## Other Skills
More e-commerce skills: [nexscope-ai/eCommerce-Skills](https://github.com/nexscope-ai/eCommerce-Skills)
Amazon-specific skills: [nexscope-ai/Amazon-Skills](https://github.com/nexscope-ai/Amazon-Skills)
Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.
© nexscope-ai · MIT · nexscope-ai/eCommerce-Skills
