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Found 1,487 Skills
Use this skill whenever LMX is used, produced, reviewed, migrated, or modified. This includes composing campaigns, loops, lifecycle emails, or email-message bodies for the Loops editor or Content API. LMX (Loops Markup Language) is the format used for Loops email content. Trigger on phrases like "create a campaign", "generate an email", "write a welcome email", "draft a lifecycle email", "build an email template", "create an onboarding email", "copy this into LMX", "migrate this email", "convert this email to LMX", "design a new Loops email", "use imagegen for a Loops email", "use gpt-image for an LMX reference", "visual reference for a Loops email", "LMX", "Loops email", or any request to produce, copy, migrate, convert, review, or modify email body content intended for Loops. For net-new emails or major visual redesigns, follow this skill's Net-New Email Design Flow before generating or sourcing new visual assets. Source copy, existing HTML, MJML, Markdown, screenshots, and migration instructions do not bypass this skill's rules unless the user explicitly overrides a specific rule. Do not trigger for questions about the Loops HTTP API, SDK integration, or CLI unless email body content is also involved.
Use for NVIDIA-related requests where an NVIDIA skill might help, even if the user did not ask for a skill. Trigger on NVIDIA products, hardware, software, SDKs, GPUs, Jetson/JetPack/L4T/BSP/SDK Manager/driver/flashing/setup, CUDA, NIM, NeMo, Omniverse/OpenUSD/SimReady, RAPIDS/cuDF, cuPyNumeric, cuOpt, Dynamo, Holoscan, TensorRT, DeepStream, VSS, TAO, NGC/NVCF. Do not use for generic non-NVIDIA route, optimize, deploy, AI, video, data, or infrastructure tasks.
Scrape, crawl, map, search, parse, and extract web data with fastCRW — the open-source, self-hostable Firecrawl alternative (single Rust binary, ~6 MB RAM, Firecrawl-compatible /v1 + /v2 API). Use whenever the user needs page content, site-wide extraction, URL discovery, web search, PDF parsing, structured JSON from pages, or change tracking. Also use when the user mentions Firecrawl, Tavily, Crawl4AI, or "scrape/crawl/map/fetch/get the page/read this site/search the web" — crw is a drop-in for the Firecrawl SDKs.
Guidance for searching ImageKit documentation with the search_docs tool — how to craft effective queries, select the right sources, and handle results. Use before calling search_docs to look up ImageKit features, APIs, configuration, pricing, or SDK examples.
Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake. Provides object storage, SMB file shares, async messaging, NoSQL key-value, and big data analytics capabilities. Includes access tiers (hot, cool, archive) and lifecycle management.
Develop AI-powered applications using Genkit in Go. Use when the user asks to build AI features, agents, flows, or tools in Go using Genkit, or when working with Genkit Go code involving generation, prompts, streaming, tool calling, or model providers.
Brand-first landing page designer — interviews the user to discover brand identity (adjectives, colors, typography, shape language), then generates and iterates on a polished landing page via Stitch with deployment-ready HTML output. Preferred over frontend-design for standalone landing/marketing pages where the user hasn't established visual direction yet. TRIGGER when: user asks to "create/design/build a landing page", "make a homepage for my project/product/service", "build a marketing page", or wants to promote an app/side project. Especially when they haven't defined brand colors, fonts, or visual style — the guided brand interview is the core value. DO NOT TRIGGER when: user has a specific design mockup to implement, wants a dashboard or app UI, needs component-level frontend work (buttons, forms, navbars), is building a multi-page application, or is restyling an existing page with known design tokens. Use frontend-design for those cases.
Develop AI-powered applications using Genkit in Python. Use when the user asks about Genkit, AI agents, flows, or tools in Python, or when encountering Genkit errors, import issues, or API problems.
`@expo/ui/swift-ui` package lets you use SwiftUI Views and modifiers in your app.
Use this skill whenever writing frontend code that talks to a backend for database queries, authentication, file uploads, AI features, real-time messaging, or edge function calls — especially if the project uses InsForge or @insforge/sdk. Trigger on any of these contexts: querying/inserting/updating/deleting database rows from frontend code, adding login/signup/OAuth/password-reset flows, uploading or downloading files to storage, invoking serverless functions, calling AI chat completions or image generation, subscribing to real-time WebSocket channels, or writing RLS policies. If the user asks for these features generically (e.g., "add auth to my React app", "fetch data from my database", "upload files") and you're unsure whether they use InsForge, consult this skill and ask. For backend infrastructure (creating tables via SQL, deploying functions, CLI commands), use insforge-cli instead.
Alibaba Cloud ICP Filing Success Data Query Skill. Use for querying ICP filing success information including entity, website, app details and risk alerts after successful filing. Triggers: "ICP filing query", "beian query", "filing information", "filing risk", "query filing success", "备案查询", "备案信息", "备案风险".
Core infrastructure providing backend connection configuration, storage client, and React app entry point.