Tanstack Ai Migration

OrganizationPopular

TanStack

tanstack-ai-migration

Move an app to TanStack AI from the Vercel AI SDK or raw provider SDKs, or move it off a deprecated TanStack AI API. Use when someone asks whether to switch AI libraries, when code mixes streamText, generateText, generateObject, createOpenAI, or @ai-sdk/* with TanStack AI, when an upgrade breaks, or when someone hits a renamed option, a deprecated -ui package, or an old adapter shape. Triggers on "migrate", "switch from Vercel AI SDK", "ai-sdk", "streamText", "upgrade TanStack AI", "deprecated", "breaking change", "codemod".

Overview

Publisher	TanStack
Repository	`ai`
Skill name	`tanstack-ai-migration`
Stars	3.1K
Forks	330
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by TanStack on GitHub. Read the source before you install it.

Installation

Install the Tanstack Ai Migration AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/TanStack/ai.git /tmp/ai
mkdir -p .claude/skills
cp -r /tmp/ai/skills/tanstack-ai-migration .claude/skills/tanstack-ai-migration

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tanstack Ai Migration in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tanstack Ai Migration on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tanstack Ai Migration is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Migrating to TanStack AI

Two different jobs. Pick the one that matches the code in front of you.

Coming from another SDK

The name-by-name mapping lives in the docs, and it is longer than any summary that fits here:

https://tanstack.com/ai/latest/docs/migration/migration-from-vercel-ai

The shape of the change:

streamText and generateText become one chat() call with a streaming option.
createOpenAI(...) becomes a tree-shakeable adapter, such as openaiText() from @tanstack/ai-openai.
onFinish and friends become middleware hooks.
Manual SSE wiring becomes the built-in response helpers.
generateObject becomes structured outputs on chat().

Read the guide, then load the target API's own skill with npx @tanstack/intent@latest load @tanstack/ai#ai-core. Do not port from memory: a half-remembered mapping produces code that type-checks in neither SDK.

Upgrading TanStack AI itself

Start with the version the app has, and the current release:

bash
node -p "require('@tanstack/ai/package.json').version"
npm view @tanstack/ai version

Then read the guides for what changed:

https://tanstack.com/ai/latest/docs/migration/migration
https://tanstack.com/ai/latest/docs/migration/ag-ui-compliance
https://tanstack.com/ai/latest/docs/migration/sampling-options-to-model-options
https://tanstack.com/ai/latest/docs/migration/create-ui

Deprecated APIs keep working, so upgrade in steps rather than rewriting everything at once.

Codemods

Some renames have a jscodeshift transform. Run it straight from the repo, and preview first with --dry --print:

bash
npx jscodeshift \
  -t https://raw.githubusercontent.com/TanStack/ai/main/codemods/ag-ui-compliance/transform.ts \
  --dry --print src/

Each guide names the codemod that covers it, and what the codemod cannot reach. Server-side rewrites are usually manual.

After the port

Run the project's type checker. Most errors after a migration come from an API that was remembered rather than read, so check the failing name against node_modules/@tanstack/ai/src/ before changing it again.

Frequently asked questions

What does the Tanstack Ai Migration AI skill do?

Why use Tanstack Ai Migration on TypingMind?

Because you install it once and use it with any model. Tanstack Ai Migration is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tanstack Ai Migration in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TanStack/ai/tree/main/skills/tanstack-ai-migration. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Tanstack Ai Migration?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tanstack Ai Migration?

As many as you like. As long as a model supports skills, you can use Tanstack Ai Migration with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tanstack Ai Migration AI skill free?

Yes. It is published on GitHub by TanStack under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Migrating to TanStack AI

Coming from another SDK

Upgrading TanStack AI itself

Codemods

After the port

Frequently asked questions

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