Orchestrate TanStack AI chat, streaming, tool, and adapter flows with type-safe best practices.
npx skills add https://github.com/TanStack/ai --skill ai-core-tanstack
Please help me install this Agent Skill. Skill: ai-core Source: https://github.com/TanStack/ai/tree/main/packages/typescript/ai/skills/ai-core Command: npx skills add https://github.com/TanStack/ai --skill ai-core-tanstack
Clarifies how to operate TanStack AI's foundational chat, adapter, middleware, streaming, and integration patterns while preventing legacy SDK mistakes so teams stay in lockstep with provider-agnostic, type-safe guidance.
Ask which provider, model, and Code Mode the user prefers, then wire chat() through toServerSentEventsResponse() with the appropriate adapter and middleware hooks.
High-intent search queries and answers about installing and using this skill.
To set up provider-agnostic chat streaming in TanStack AI, use the chat() function and wrap streams with toServerSentEventsResponse() using the appropriate adapter. Always import from framework packages and rely on middleware hooks instead of onEnd callbacks.
Your application fails because TanStack AI requires using chat() rather than streamText(). Additionally, you must import from framework packages and ensure you are following version 0.10.0 guidance for correct adapter configuration and middleware hook usage.
Handle tool calling and structured outputs by routing through TanStack AI's sub-skills for tool calling and structured output guidance. Use the chat() function with middleware hooks and correct adapter imports to enforce type-safe best practices.
Yes, you can integrate custom backends and AG-UI servers. TanStack AI directs builders to custom backend integration and AG-UI protocol guidance folders, ensuring you wire chat() through toServerSentEventsResponse() with the correct adapter configuration.
Configure middleware in TanStack AI v0.10.0 by using middleware hooks instead of legacy onEnd callbacks. This enforces consistent, type-safe best practices across chat, streaming, tool calling, and adapter flows within your application.
Generate media by accessing the media generation guidance folder through the TanStack AI core routing system. Ensure you ask about the preferred provider, model, and Code Mode, then apply the correct adapter configuration and middleware hooks.
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