tanstack-ai

Provides unflagged, TypeScript-based AI SDK with streaming APIs and multi-provider adapters for app developers.

Updated Feb 27, 2026
One-click install
npx skills add https://github.com/nearbycoder/soloagent --skill tanstack-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tanstack-ai
Source: https://github.com/nearbycoder/soloagent/tree/main/.agents/skills/tanstack-ai
Command: npx skills add https://github.com/nearbycoder/soloagent --skill tanstack-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

TanStack AI provides a provider-agnostic, type-safe AI SDK enabling streaming generation, tool calling with approvals, structured output via schemas, and multimodal content support for building AI-enabled apps across providers.

Core Features & Use Cases

  • Streaming-first generation with adapters for multiple providers (OpenAI, Anthropic, Gemini, Ollama, etc.)
  • Tool calling with optional approval workflows and structured outputs
  • Multimodal content support and cross-framework React/Vue usage
  • Real-world use cases: chat assistants, AI copilots, and code-generation workflows across web apps.

Quick Start

Install the TanStack AI packages and initialize an adapter to start generating messages.

Frequently Asked Questions about tanstack-ai

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate streaming AI generation across multiple providers like OpenAI and Anthropic?

To integrate streaming AI generation across providers, you can use a provider-agnostic SDK with adapters. This approach allows you to initialize different provider adapters and stream generated messages without changing your core application logic.

What is the best way to implement tool calling with approval workflows in a TypeScript AI application?

The best way to implement tool calling with approval workflows is using a modular AI SDK that explicitly supports optional approval processes. This enables structured outputs and controlled tool execution directly within your TypeScript application.

Can I build a cross-framework chat interface with multimodal content support?

Yes, you can build cross-framework chat interfaces supporting multimodal content. The SDK provides framework-agnostic usage with specific React and Vue support, enabling multimodal outputs across different web application environments.

How do I generate structured output via schemas for an AI copilot?

To generate structured output via schemas for an AI copilot, utilize an AI SDK that features schema-based generation. This ensures the AI's responses conform to specific structured formats required by your copilot workflows.

Does this provider-agnostic AI SDK work with local models like Ollama?

Yes, this provider-agnostic AI SDK works with local models like Ollama. It includes specific adapters for Ollama alongside OpenAI, Anthropic, and Gemini, allowing you to run automation workflows locally.

When do I need a provider-agnostic SDK for building automation workflows?

You need a provider-agnostic SDK for automation workflows when you require type-safe streaming and tool execution across multiple AI providers. It solves the problem of vendor lock-in by modularizing provider adapters.