Skill UI

A comprehensive guide for manually assessing critical business rules and workflows in web applications. This technique goes beyond automated scanning by simulating attacks like price manipulation, multi-step process bypass, and privilege escalation. Ideal for securing e-commerce checkout funnels, financial transactions, and complex authorization systems.

This skill applies principles of behavioral psychology and choice architecture to redesign user experience (UX) flows. It is used when a product's conversion friction is rooted in interaction design, not just copy. By auditing cognitive load, defining optimal default paths, and inserting strategic commitment points, it guides users toward desired actions ethically, maximizing commitment while preserving autonomy. Ideal for improving onboarding, checkout funnels, and complex decision-making sequences.

Leverage AI-powered exploratory testing to thoroughly audit web applications and verify functionality. This skill simulates user interaction, detecting complex bugs, validating critical flows (like checkout or login), and checking accessibility compliance. Use it proactively after development to ensure quality before deployment.

These extensions enable developers to customize the Shopify checkout experience using sandboxed, React-like components. They serve as the modern replacement for the deprecated checkout.liquid, allowing deep integration into the purchase flow. Use cases include adding custom data fields (metafields), rendering dynamic promotional banners, and reading real-time checkout state information.

Learn how to build advanced, server-side business logic for Shopify using Shopify Functions and WebAssembly (WASM). This guide covers implementing custom discount rules, payment customizations, delivery option filtering, and cart transformations directly at the checkout. Designed for developers, it leverages the WASM sandbox for highly constrained, powerful e-commerce functionality.

This guide details how to build modern, custom headless storefronts using Shopify's Storefront API and Cart API. It covers key functionalities like product querying, cart management (adding/updating lines), and initiating the checkout flow. Designed for developers building client-facing e-commerce experiences, it emphasizes the use of public access tokens for decoupled, highly customizable online stores.

This comprehensive guide serves as an expert resource for maximizing form completion rates across various non-signup business needs, including lead capture, contact requests, checkout flows, and surveys. It covers core CRO principles, field-by-field optimization (e.g., Name, Email, Phone), structuring multi-step forms, improving error handling, and optimizing the final call-to-action button for maximum user conversion.

A utility for managing and installing specialized AI skills into the Codex environment. It supports fetching curated skills from predefined sources (like openai/skills) or installing custom capabilities directly from any GitHub repository, including private ones. It handles listing available skills, installing specific modules, and provides robust fallback methods (download/git sparse checkout).

Automates the process of filling out web forms using a structured field map (field_name → value). This tool supports using stored templates for known forms, or falling back to analyzing the page accessibility snapshot if no template exists. It includes mandatory PII screening (aidefence_has_pii) and handles form submission, making it ideal for automating sign-ups, checkouts, and data entry tasks.

Run a GEPA learning cycle via metaharness learn to optimize a harness genome against a SWE-bench-style slice manifest. Supports dry-run for cost estimation and --run for explicit execution. Requires a metaharness repo checkout.

Audit landing pages, sales pages, or checkout flows to identify conversion leaks. Returns a prioritized fix list based on revenue impact. Use for low conversion rates, poor paid traffic performance, or page critiques. Analyzes message match, mobile experience, offer clarity, friction, trust, and tracking.

This skill helps developers create Git branches following Sentry naming conventions. It automatically determines the branch type (feat, fix, chore, etc.) based on the work description or local changes. It generates a standardized branch name using the user's GitHub username and proposes it for confirmation before executing the git checkout command. Ideal for starting new work on the default branch.