faststore-overrides

39 AI agent skills for VTEX e-commerce platform development, exported in six formats for Claude Code, Cursor, Codex, GitHub Copilot, OpenCode, and Claude Projects, covering IO, FastStore, APIs, checkout, and more.

Teaches AI agents VTEX IO service app development fundamentals as part of the VTEX IO custom app track, covering backend service architecture, runtime patterns, and client integration for building VTEX platform applications.

Teaches AI agents VTEX IO MasterData integration patterns for data storage, retrieval, and management within VTEX platform applications, as part of the Data & Config skill group in the VTEX IO custom app development track.

Part of VTEX's AI agent skills collection for e-commerce development across six export formats. Provides guidance for working with VTEX IO GraphQL APIs, covering query construction, schema navigation, and data fetching patterns.

VTEX platform AI agent skill for PCI security compliance in payment connector development, covering Secure Proxy usage, card tokenization, and PCI constraint enforcement.

A collection of 40 AI agent skills organized into 7 tracks for VTEX e-commerce platform development, covering payment processing, checkout, catalog management, and more. Supports six export formats for platforms including Claude Code, Cursor, and GitHub Copilot.

Guides implementation of asynchronous payment methods (Boleto, Pix, bank redirects) in VTEX payment connectors, covering undefined status responses, callbackUrl notifications, X-VTEX-signature validation, and correct delayToCancel configuration for each async payment type.

VTEX Intelligent Search API integration skill for implementing search functionality, faceted navigation, and autocomplete in headless storefronts with product discovery and analytics.

Guides implementation of cart, checkout, and order placement logic proxied through a BFF for headless VTEX storefronts, covering OrderForm lifecycle, item management, payment attachments, and secure checkout flows.

Provides guidance for designing a mandatory Backend-for-Frontend (BFF) layer for headless VTEX storefronts, covering API classification, credential management, secure request proxying, and preventing exposure of sensitive keys to the browser.