Ai Sdk

Community

laguagu

ai-sdk

Answer questions about the AI SDK and help build AI-powered features. Use when developers ask about Vercel AI SDK, generateText, streamText, ToolLoopAgent, useChat, providers, tools, structured output, embeddings, streaming, or adding AI to an app. First identify the installed major version and route version-specific work: use ai-sdk-7 for AI SDK 7 features/migrations such as WorkflowAgent, HarnessAgent, reasoning, runtime/tools context, toolApproval, telemetry, realtime, or v6-to-v7 upgrades; use ai-sdk-6 for v6 code.

Overview

Publisher	laguagu
Repository	`claude-code-nextjs-skills`
Skill name	`ai-sdk`
Stars	64
Forks	18
Bundled files	4
License	MIT
Links	Skill source Repository

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.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by laguagu on GitHub. Read the source before you install it.

Installation

Install the Ai Sdk 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/laguagu/claude-code-nextjs-skills.git /tmp/claude-code-nextjs-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-nextjs-skills/skills/ai-sdk .claude/skills/ai-sdk

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

Use it in TypingMind

Enable Ai Sdk 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 Ai Sdk 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 Ai Sdk 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.

Prerequisites

Before searching docs, check the installed major version in package.json, lockfiles, or node_modules/ai/package.json.

AI SDK 7 implementation or migration work -> use ai-sdk-7.
AI SDK 6 implementation work -> use ai-sdk-6.
Unknown or mixed versions -> continue with this skill until the version is clear. If starting fresh or no version is pinned, assume the current line (AI SDK 7) and use ai-sdk-7.

Before searching docs, check if node_modules/ai/docs/ exists. If not, install only the ai package using the project's package manager (e.g., bun add ai).

Do not install other packages at this stage. Provider packages (e.g., @ai-sdk/openai) and client packages (e.g., @ai-sdk/react) should be installed later when needed based on user requirements.

Monorepo path note

In Bun / pnpm / Yarn workspace monorepos, dependencies are usually not hoisted to the repo root — they live inside each app's node_modules/. If node_modules/ai/docs/ doesn't exist at the working directory, check workspace locations before assuming docs are missing:

apps/*/node_modules/ai/docs/ (e.g. apps/web/node_modules/ai/docs/)
packages/*/node_modules/ai/docs/

Glob from the repo root: apps/*/node_modules/ai/docs/ or **/node_modules/ai/docs/. Substitute the resolved path everywhere this skill says node_modules/ai/docs/ or node_modules/ai/src/. The same applies to provider docs at node_modules/@ai-sdk/<provider>/docs/.

Critical: Do Not Trust Internal Knowledge

Everything you know about the AI SDK is outdated or wrong. Your training data contains obsolete APIs, deprecated patterns, and incorrect usage.

When working with the AI SDK:

Ensure ai package is installed (see Prerequisites)
Identify the installed major version and use ai-sdk-7 or ai-sdk-6 for deep version-specific work
Search node_modules/ai/docs/ and node_modules/ai/src/ for current APIs
If not found locally, search ai-sdk.dev documentation (instructions below)
Never rely on memory - always verify against source code or docs
useChat has changed significantly - check Common Errors before writing client code
Always fetch current model IDs - Never use model IDs from memory. A public catalog of current IDs across providers is available at https://ai-gateway.vercel.sh/v1/models — useful purely for discovery, not a recommendation to use Gateway as a runtime provider. Example: curl -s https://ai-gateway.vercel.sh/v1/models | jq -r '[.data[] | select(.id | startswith("anthropic/")) | .id] | reverse | .[]' (swap anthropic/ for openai/, google/, etc.). Pick the model family/tier by capability, cost, and latency requirements; within the chosen family, use the latest version from the catalog (e.g. prefer claude-sonnet-5 over an older claude-sonnet-4-x) — version number alone is not a selection criterion across families.
Run typecheck after changes to ensure code is correct
Be minimal - Only specify options that differ from defaults. When unsure of defaults, check docs or source rather than guessing or over-specifying.

If you cannot find documentation to support your answer, state that explicitly.

Finding Documentation

ai@6.0.34+ and ai@7+

Search bundled docs and source in node_modules/ai/:

Docs: grep "query" node_modules/ai/docs/
Source: grep "query" node_modules/ai/src/

Provider packages include docs at node_modules/@ai-sdk/<provider>/docs/.

For v7-specific features such as WorkflowAgent, HarnessAgent, tool context, reasoning, telemetry, realtime, video, or v6-to-v7 migration, read the ai-sdk-7 skill after confirming the installed major version.

Earlier versions or missing local docs

Search: https://ai-sdk.dev/api/search-docs?q=your_query
Fetch .md URLs from results (e.g., https://ai-sdk.dev/docs/agents/building-agents.md)

Working examples

For runnable provider × feature examples (Anthropic cache-control, OpenAI computer-use, Google grounding, etc.), see examples.md. Fetch individual files on demand via WebFetch or gh api — do not clone the repo.

When Typecheck Fails

Before searching source code, grep Common Errors for the failing property or function name. Many type errors are caused by deprecated APIs documented there.

If not found in common-errors.md:

Search node_modules/ai/src/ and node_modules/ai/docs/
Search ai-sdk.dev (for earlier versions or if not found locally)

Building and Consuming Agents

Creating Agents

Use the agent pattern that matches the installed major version and task:

v6/v7 in-memory agent loops: ToolLoopAgent
v7 durable workflow-backed agents: WorkflowAgent from @ai-sdk/workflow
v7 external coding/runtime harnesses: HarnessAgent from @ai-sdk/harness/agent

Search node_modules/ai/docs/ for current agent creation APIs before writing code.

File conventions: See type-safe-agents.md for where to save agents and tools.

Type Safety: When consuming agents with useChat, always use InferAgentUIMessage<typeof agent> for type-safe tool results. See reference.

Consuming Agents (Framework-Specific)

Before implementing agent consumption:

Check package.json to detect the project's framework/stack
Search documentation for the framework's quickstart guide
Follow the framework-specific patterns for streaming, API routes, and client integration

References

Common Errors - Renamed parameters reference (parameters → inputSchema, etc.)
Type-Safe Agents with useChat - End-to-end type safety with InferAgentUIMessage
DevTools - Local debugging and observability (development only)
Canonical Examples - Provider × feature working code from vercel/ai/examples

Related Skills

ai-sdk-7 - AI SDK 7 development, HarnessAgent, WorkflowAgent, telemetry, realtime, video, and v6-to-v7 migration
ai-sdk-6 - AI SDK 6 development with ToolLoopAgent, Output patterns, MCP, middleware, tools, and UI hooks

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ai Sdk AI skill do?

Why use Ai Sdk on TypingMind?

Because you install it once and use it with any model. Ai Sdk 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 Ai Sdk in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/laguagu/claude-code-nextjs-skills/tree/main/skills/ai-sdk. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ai Sdk?

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 Ai Sdk?

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

Is the Ai Sdk AI skill free?

Yes. It is published on GitHub by laguagu 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

Prerequisites

Monorepo path note

Critical: Do Not Trust Internal Knowledge

Finding Documentation

ai@6.0.34+ and ai@7+

Earlier versions or missing local docs

Working examples

When Typecheck Fails

Building and Consuming Agents

Creating Agents

Consuming Agents (Framework-Specific)

References

Related Skills

Bundled files

Frequently asked questions

Related AI Skills

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