Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

E-commerce checkout optimization v1.0.0

Use this resource to reduce cart abandonment by optimizing the checkout flow

New

  • 312 downloads
  • 171 likes
  • 110 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install checkout-friction-reduction

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent finds friction points in your checkout, assesses the payment methods offered and trust signals, then applies checkout UX best practices. You get a diagnosis and a list of fixes.

Updated November 2, 2026

Card for the “E-commerce checkout optimization” skill

Details

Generates with
Your agent's model
Licence
MIT

Similar resources

View all

What you get

  • SKILL.md: friction analysis, payment methods and trust signals
  • SKILL.md: UX best practices and output format

Good fit for

  • Your cart abandonment rate is above average
  • Your checkout still has several steps

Not for

    Tags

    • checkout
    • cart abandonment
    • ux
    • trust

    About

    You say

    “My checkout has three steps and 68% abandonment. Diagnose it.”

    Card for the “E-commerce checkout optimization” skill

    Skill published by nexscope-ai under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to reduce cart abandonment by optimizing the checkout flow
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.4 KB

    Origin and licence

    Listed unmodified

    Author
    nexscope-ai
    Source
    github.com/nexscope-ai/ecommerce-skills/tree/ee0fb29433d02ccc22e3e6cea9ab4586d49fd42e/ecommerce-checkout-optimization
    Licence
    MIT

    Notice

    « ecommerce-checkout-optimization » (nexscope-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.