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Found 375 Skills
Combine streaming server-side rendering with selective hydration for faster interactivity in React 18+.
This skill should be used when implementing, consuming, or debugging an Open Responses-compliant API — the open standard for multi-provider LLM interoperability. Covers protocol, items, state machines, streaming events, tools, the agentic loop pattern, and extensions. Triggers on: Open Responses, open-responses, /v1/responses endpoint, multi-provider LLM API, Open Responses compliance.
TanStack AI (alpha) provider-agnostic type-safe chat with streaming for OpenAI, Anthropic, Gemini, Ollama. Use for chat APIs, React/Solid frontends with useChat/ChatClient, isomorphic tools, tool approval flows, agent loops, multimodal inputs, or troubleshooting streaming and tool definitions.
Generate Twitch and streaming overlays using each::sense AI. Create webcam frames, starting soon screens, BRB screens, alerts, chat boxes, panels, emotes, subscriber badges, and channel banners optimized for streaming platforms.
Feed-forward 3D foundation model for streaming scene reconstruction using Geometric Context Transformer
Guides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives, choosing state management strategies, designing multi-agent systems, or selecting persistence and streaming approaches.
Use when low-latency realtime speech recognition is needed with Alibaba Cloud Model Studio Qwen ASR Realtime models, including streaming microphone input, live captions, or duplex voice agents.
Expert in video processing, streaming protocols (HLS/DASH/WebRTC), and FFmpeg automation. Specializes in building scalable video infrastructure.
Use this when tasks involve Markdown rendering, streaming output, custom component mapping, plugins, themes, or rich chat content display with @ant-design/x-markdown.
Interactive MCP visual output via @json-render/mcp. Upgrade plain JSON tool responses to interactive dashboards rendered in sandboxed iframes inside Claude, Cursor, and ChatGPT conversations. Covers createMcpApp(), registerJsonRenderTool(), CSP config, streaming, and dashboard component patterns. Use when building MCP servers that return visual output, upgrading existing MCP tools with interactive UI, or creating eval/monitoring dashboards.
Web-based chat interface for Hermes Agent with multi-profile management, streaming chat, and interactive terminal integration
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.