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📱 Mobile Checkout & Form Rescue
Find and repair mobile form friction across keyboards, autofill, validation, focus, recovery, latency, trust, and interruption states.
Secure checkout via Stripe
See it in action
You say
Flow: three-step checkout in Stripe test mode Target: 375px mobile viewport Complaint: users report the address step keeps rejecting entries Boundary: stop before final payment confirmation Source: Next.js form components and validation schema
Your agent does
Critical: postal-code validation runs before country selection settles and clears a previously valid value. High: address fields omit autocomplete tokens; numeric keyboard is not requested for postal code where appropriate. High: the sticky submit action covers the final validation message at 375px. Patch plan: preserve field state, defer country-specific validation, add purpose-aligned autocomplete/inputmode values, and reserve safe-area space. Verification: keyboard-only flow, autofill, invalid-to-valid recovery, slow response, rotation, and return from background.
What you get
About this skill
Mobile Checkout & Form Rescue audits the small-screen form details that can block a lead or purchase even when the backend works. Supply the form or checkout implementation, target devices or viewports, and the boundaries of a safe test flow. It checks field purpose and input types, mobile keyboards, autofill tokens, labels, validation timing, error recovery, focus order, tap targets, password and payment-manager behavior, progress and trust cues, pending states, latency, rotation, interruption, and return-to-flow behavior. The result is a field-level friction inventory, a mobile test matrix, the smallest supported remediation patch or plan, and annotated before-and-after evidence. The workflow uses fixtures, sandbox modes, or pre-submit boundaries and does not create live payments or customer submissions without explicit authorization.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.
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