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TanStack Start full-stack React framework best practices for server functions, middleware, SSR/streaming, SEO, authentication, and deployment. Use when building full-stack React apps with TanStack Start, implementing server functions, configuring SSR/streaming, managing SEO and head tags, setting up authentication patterns, or deploying to Vercel/Cloudflare/Node.

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Guides agents to interactively discover customer requirements for live, bidirectional multi-agent AI systems that process continuous streams of multimodal data for real-time technical guidance and safety monitoring. Generates a custom Google Cloud solution that uses opinionated best practices and architecture guidance. Use when users need agentic assistance to design and create a multi-product solution in the cloud for live bidirectional multimodal streaming workloads. Don't use for simple text-based chat applications or workloads without real-time streaming requirements.

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Create, design, and maintain Calculated Insights in Data Cloud: SQL authoring, dimension and measure definition, scheduling, streaming insights. Trigger keywords: calculated insight, CI SQL, insight measure, insight dimension, streaming insight, insight schedule, Data Cloud metric, insight refresh. NOT for segment filters, audiences and activation - use admin/data-cloud-segmentation. NOT for ingestion, DLO to DMO mapping and identity resolution - use data/data-cloud-data-streams.

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Use this skill when adding loading UI, Suspense boundaries, partial streaming, or progressive rendering in Next.js 16. Trigger words: ローディング, loading.tsx, Suspense, ストリーミング, streaming, スケルトン, 遅いデータ, 段階表示.

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Design and build mathematically rigorous, high-density, interactive data graphics and streaming telemetry visualizations following Mike Bostock's D3.js and Observable methodologies. Use when crafting custom SVG/Canvas charts, reactive streaming time-series, multi-dimensional brush-and-link coordinates, small multiples, or topological swarm graphs. NOT for generic dashboard template clones, basic spreadsheet charts, or off-the-shelf low-effort wrapper libraries.

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Generate images in real time through fal.ai, with streaming generation for exploring visual directions. Use it to develop moodboards, create draft variations, and try successive ideas during early creative work.

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• Exploring visual directions for a moodboard
• Creating variations of a draft image
• Trying successive ideas during early creative work

Turn text into speech with ElevenLabs through Composio MCP. Browse voices, select speech models, check remaining credits, generate downloadable audio or stream it for playback, and retrieve previously generated recordings from history.

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• Create narration from a script
• Compare available voices and their attributes
• Check remaining credits before bulk generation

Build and edit OBS Studio scene collections from the command line. Arrange visual sources, adjust filters and audio, configure transitions and output settings, and save the setup as JSON with undo and redo support.

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• Create or duplicate streaming scenes
• Adjust source positions and cropping
• Configure audio volume and mute settings

Build cryptocurrency exchange integrations in Rust with CCXT. Follow examples for fetching prices and order books, placing orders, streaming live updates through WebSocket connections, and handling authentication and errors with typed results.

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• Fetching exchange prices and order books in Rust
• Building order placement and cancellation workflows
• Streaming live prices through WebSocket connections

Guides the use of RWKV, a language model architecture that carries information forward in a compact state. Covers streaming text generation, long document processing, fine-tuning, and memory comparisons with Transformers.

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• Build streaming text generation
• Process long documents in chunks
• Compare memory needs with Transformers

Ask AI questions, generate code, and summarize text through 9Router using OpenAI or Anthropic request formats. Receive responses incrementally with streaming, and use provider combinations that automatically try another provider when needed.

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• Ask an AI model questions through 9Router
• Generate code from written instructions
• Summarize text with a selected model

Reproduce Mastra Code bugs with a real model and compare timestamped logs across network, streaming, execution, and terminal interface layers. Use the evidence to locate timing problems, incorrect token rates, flicker, or stuck status displays.

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• Investigating incorrect token rate displays
• Reproducing intermittent bugs with a real model
• Tracing flicker or stuck status displays

Investigate difficult bugs by adding temporary logs to the actual execution path and reproducing the reported behavior. Analyze JSONL logs, which store one structured event per line, then fix the cause, verify regression tests, and remove debugging artifacts.

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• Investigating bugs that occur only during manual use
• Tracing event order in streaming or concurrent operations
• Checking whether passing tests cover the reported bug

Build AI applications in Python with Genkit, including conversational agents, generation workflows, streaming responses, and tool use. The skill also guides setup and debugging through traces, recorded details of model inputs, outputs, and actions.

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• Build a chatbot that keeps conversation history
• Implement streaming responses and tool calls
• Investigate Genkit import and API errors

Build conversations and workflows with the Gemini Interactions API on Gemini Enterprise Agent Platform. Follow Python or JavaScript examples for server-stored conversation history, streaming responses, structured JSON output, function calls, and background agent tasks.

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• Building chats that retain conversation context
• Displaying responses as they stream
• Returning JSON in a specified format

Helps build AI features in Go with Genkit, including text generation, structured data output, streaming, tool calls, and conversational agents. Guides HTTP serving and trace inspection to check model responses and tool execution.

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• Adding text generation or structured output to a Go app
• Building a chatbot that retains conversation state
• Connecting model responses to tool calls

Add and troubleshoot a developer panel in Svelte 5 json-render apps. Inspect JSON screen definitions, edit application state, review action and streaming timelines, browse component catalogs, and select elements directly from the page.

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• Add a developer panel to a Svelte app
• Inspect screen definitions and edit application state
• Review action and streaming timelines

Turn JSON screen descriptions into Svelte 5 interfaces. This skill covers component catalogs, registration, shared state, form bindings that keep inputs and data synchronized, conditional display, and streaming AI-generated interfaces as they arrive.

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• Render a Svelte interface from JSON
• Define and register reusable screen components
• Synchronize form inputs with shared state

Guides developers in handling API failures consistently from backend responses to frontend messages. It covers ordinary and streaming requests, translated error codes, retry and authentication handling, request identifiers, and removing credentials from server logs.

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• Adding an API endpoint with consistent error responses
• Displaying errors during streaming responses
• Adding error codes and translated messages

Turn a Bifrost PR or GitHub issue into API regression tests that catch recurring bugs. Review existing coverage, add cases to the Postman collection, and validate collection processing and provider filtering.

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• Add regression coverage for a merged PR
• Turn an issue's reproduction steps into API tests
• Test streaming and non-streaming responses

Generate talking-person videos from a portrait or an existing video and an audio track, aligning lip movements, expressions, and body motion with speech. It supports long-form generation and can create speech from text using Kokoro-82M.

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• Create a talking-person video from a portrait and recorded speech
• Generate a video using existing footage and a replacement audio track
• Create a talking-person video from text using speech synthesis

Create talking videos from a portrait or existing video and an audio file, with mouth movements, expressions, and body motion aligned to speech. It supports long videos, replacement audio, and speech generated from text.

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• Creating a talking video from a portrait and narration
• Making long videos with a virtual presenter
• Generating a video with replacement audio

Build servers and clients for A2A, an open protocol that lets AI agents communicate across frameworks. Publish agent capabilities, exchange tasks and results, stream progress, and add notifications for workflows involving multiple agents.

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• Connect agents built with different frameworks
• Publish agent capabilities through an Agent Card
• Build a research, writing, and review workflow

Add AI chat, text generation, and agents to applications using AI SDK. The skill checks documentation and source code to guide streaming replies, external tool calls, structured results, React integration, and fixes for outdated API usage.

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• Add AI chat to an application
• Build an agent that calls external tools
• Build answers using retrieved documents