Init Project

Use the Docyrus CLI (`docyrus`) to interact with the Docyrus platform from the terminal. Use when the user asks to authenticate, list apps, query or manage data records (`ds`), manage dev app data source schema objects (`studio`) including data sources, fields, enums, data views, forms, webforms, HTML/PDF export templates, and email templates, manage automations and their triggers/action nodes (`automation`), build or edit custom AI agents and their sub-resources (`agent`), set an app's AI agent context or manage app-scoped AI tools (`apps`), list tenant email accounts and send emails (`messaging`), manage tenant account settings — brands, the current user's profile, and tenant regional/formatting preferences (`account`), discover and call connectors (`connect`), send API requests, switch tenants/accounts, discover tenant OpenAPI specs, drive browser automation (`browser`), chat with platform agents (`docy`), launch the pi cowork/coding agents (`opsy`/`cody`/`coder`), run the agent bri

Apply when implementing cart, checkout, or order placement logic proxied through a BFF for headless VTEX storefronts. Covers OrderForm lifecycle, cart creation, item management, profile/shipping/payment attachments, orderFormId management, and secure checkout flows. Use for any headless frontend that needs to proxy VTEX Checkout API calls through a server-side layer with proper session cookie handling.

Analyze short-form videos with Gemini AI to extract hooks, content structure, and replicable patterns. Supports Instagram Reels, TikTok, and YouTube Shorts. Use when asked to: - Analyze video content for hooks and structure - Extract replicable formulas from viral videos - Understand why a video performed well - Get AI analysis of video content patterns Triggers: "analyze videos", "extract hooks", "video analysis", "analyze reels", "what makes this video work", "hook analysis", "content structure analysis"

Apply when implementing search functionality, faceted navigation, or autocomplete in a headless VTEX storefront. Covers product_search, autocomplete_suggestions, facets, banners, correction_search, and top_searches endpoints, plus analytics event collection. Use for any custom frontend that integrates VTEX Intelligent Search API for product discovery and search result rendering.

Skyline WXSS 样式支持技能。提供 Skyline 支持的 CSS 属性、值和限制信息。触发关键词：WXSS、CSS 支持、样式兼容性、属性支持、不支持的属性、display grid、position sticky、overflow、filter、渐变、gradient、linear-gradient、radial-gradient、conic-gradient、border-style、white-space、font-weight、text-decoration、text-overflow、aspect-ratio、will-change、calc、env、mask、mask-image、background-image、transition、animation、transform、font-feature-settings。

Core coding rules and workflow for developing VTEX FastStore storefronts. Use when starting any FastStore development task, writing TypeScript/React components, creating section overrides, extending the BFF, or styling. Covers all primary conventions, safety rules, and the development workflow used across every FastStore project.