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E-Commerce Checkout Optimization 💳 · nexscope-ai | DecimalAI

industryby nexscope-ai

E-Commerce Checkout Optimization 💳

nexscope-ai/ecommerce-checkout-optimization

Source nexscope-ai/ecommerce-skills ↗License MIT

Optimize e-commerce checkout flow to reduce cart abandonment. Friction analysis, payment method optimization, trust signals, and checkout UX best practices.

SkillScore43Maintained

Automatic

Design & UX Review pack

Last verified 8/19/2026

What it changes

Passed 10 of 23 test cases with the skill, and 3 of 23 without it.

Without skill13%

With skill43%

Checks it passed that the model alone missed

Marks estimated impact metrics with the ⚠️ warning emoji.
Structures clarifying questions in a multiple-choice layout.
Uses the ⚠️ symbol on speculative conversion lift estimates.

and 5 more in the full report

7 fixed3 passed either way13 still failing0 broke

Pass-rate lift: +30 pp
Tokens: -2%
Agent turns: 0%
Response time: -28%

Model gemini-3.6-flashMeasured 8/19/2026v110 of 23 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-checkout-optimization/SKILL.md https://app.decimal.ai/s/nexscope-ai-ecommerce-checkout-optimization/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add nexscope-ai-ecommerce-checkout-optimization, 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-checkout-optimization/ and pins it in .decimal/skills.lock

decimalai skills add nexscope-ai-ecommerce-checkout-optimization

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

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

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

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 7

Prompt

We operate a high-AOV home decor shop on Shopify. Customers complain that typing credit card details takes too long on mobile devices. Should we add express mobile payments and installment options?

What was checked, without and with the skill
Checked	Without skill	With skill
Recommends integrating express mobile payment wallets.	Passed	Passed
Recommends offering Buy Now Pay Later options for high order values.	Passed	Passed
Asks missing context questions using a multiple-choice format.	Missed	Passed

case-09 · 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 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 — your AI assistant for smarter e-commerce decisions.

Install

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.

Track record

Benchmark

10 / 23

test cases passed, vs 3 / 23 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-checkout-optimization/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

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

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See it in action

What's inside

E-Commerce Checkout Optimization 💳

Install

Usage

Capabilities

How This Skill Works

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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