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Found 387 Skills
React Suspense for data fetching, code splitting, and async operations. Covers Suspense boundaries, lazy loading, streaming SSR, Error Boundaries, suspense-enabled data libraries, and progressive loading patterns. USE WHEN: user mentions "Suspense", "lazy loading", "React.lazy", "code splitting", "streaming SSR", "loading states", asks about "async components", "fallback UI" DO NOT USE FOR: React 17 and earlier (limited Suspense support), Class components, Non-React frameworks
Complete Switchboard Oracle Protocol SDK for Solana - the permissionless oracle solution for price feeds, on-demand data, VRF randomness, and real-time streaming via Surge. Covers TypeScript SDK, Rust integration, Oracle Quotes, and all Switchboard tools.
Expert-level gRPC, Protocol Buffers, microservices communication, and streaming
Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks. Use when building batch or streaming data pipelines with Python or SQL. Invoke BEFORE starting implementation.
Expert guidance for building conversational AI applications with Chainlit framework in Python. Use when (1) creating chat interfaces for LLM applications, (2) building apps with OpenAI, LangChain, LlamaIndex, or Mistral AI, (3) implementing streaming responses, (4) adding UI elements like images, files, charts, (5) handling user file uploads, (6) implementing authentication (OAuth, password), (7) creating multi-step workflows with visible steps, (8) building RAG applications with document upload, or (9) deploying chat apps to web, Slack, Discord, or Teams.
mParticle platform help — hybrid CDP with real-time event streaming, identity resolution, audience activation, 300+ integrations. Use when mParticle SDK not sending events, identity resolution merging wrong profiles, audience not syncing to destination, connection setup taking too long, Events API returning errors, data plan validation failing, or comparing mParticle pricing tiers. Do NOT use for choosing between CDPs (use /sales-cdp) or CRM data cleanup (use /sales-data-hygiene).
Headless iOS Simulator manager with host-side HID input injection, 60fps streaming, and device farm web UI for iOS 26
Expert knowledge for Azure Data Explorer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring ADX clusters, private endpoints, follower DBs, streaming ingestion, or Power BI integration, and other Azure Data Explorer related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Stream Analytics (use azure-stream-analytics), Azure HDInsight (use azure-hdinsight), Azure Databricks (use azure-databricks).
A CLI tool that calls the Wind Alice Agent (A2A protocol, SSE streaming) to execute specified Skills and obtain analysis results. It applies to scenarios where users explicitly request actions like "run a certain Skill with Alice", "generate a research question list for a company", "create a one-page investment memo", "verify a piece of financial information", etc., that involve Alice sub-Skills.
Build end-to-end real-time data pipelines with Kafka, PostgreSQL, Airflow, and Streamlit using Medallion Architecture for streaming analytics.
Answer ZenMux questions by reading the latest official docs. Use for product features, APIs, integration, pricing, models/providers, routing, fallback, streaming, multimodal, structured output, tool calling, reasoning, prompt caching, image/video generation, web search, long context, observability, logs, cost tracking, subscriptions, PAYG, invoices, FAQ, privacy, terms, compliance, and tool guides for Claude Code, Cursor, Cline, Codex, Gemini CLI, opencode, Cherry Studio, Obsidian, Sider, Open-WebUI, Dify, and GitHub Copilot. Trigger on "ZenMux docs", "ZenMux API", "how to use ZenMux", "models", "pricing", "ZenMux 怎么用", "文档", "快速开始", "API 参考", "模型路由", "供应商路由", "订阅", "按量计费", "接入", "配置". Also use when ZenMux is the project context and the user asks about LLM API aggregation, model routing, or provider fallback.
Build LLM-powered chat apps with the right SDK — Anthropic SDK / Claude API (prompt caching, thinking, tool use, batch, files, citations, memory, model migrations) AND Vercel AI SDK (useChat, streamText, tool calls, UIMessage, ChatStatus, addToolOutput). Use when implementing chat interfaces, tuning Claude features, migrating between Claude model versions, or wiring up streaming with @ai-sdk/react.