What multi-modal features are covered?

The skill provides implementation code for Speech Synthesis (TTS), Transcription (STT), Image Generation (DALL-E/Imagen), and Multi-Modal prompts involving PDFs and images.

What is the Model Context Protocol (MCP) support?

The skill demonstrates how to use experimental_createMCPClient to integrate standardized tool sets into your AI SDK workflows for enhanced agent capabilities.

How does this skill solve Cloudflare Workers startup issues?

It provides a specific lazy-initialization pattern for the workers-ai-provider and Zod, ensuring the worker stays under the 400ms startup limit and avoids execution errors.

Why should I use the Output API instead of generateObject?

The Output API (Output.object, Output.array, etc.) is the new stable standard in AI SDK v6, replacing the deprecated generateObject and streamObject functions for better type safety and long-term support.

Does this skill support the latest 2025/2026 models?

Yes, it includes predefined configuration patterns for the newest models, including GPT-5.2, Claude 4.5 Sonnet, and Gemini 2.5 Pro.

AI SDK Core Integration

Name: AI SDK Core Integration
Author: jezweb

byjezweb

•

117

データサイエンスとML

Builds advanced backend AI applications using the latest Vercel AI SDK features, including structured outputs, multi-modal capabilities, and performance optimizations.

概要

This skill empowers developers to implement and migrate to the latest versions of the Vercel AI SDK (v5 and v6) with precision. It provides specialized guidance on the new stable Output API for structured data generation, facilitates seamless integration with cutting-edge models like GPT-5 and Claude 4, and includes critical optimizations for Cloudflare Workers. Whether you are building complex agents with MCP tools, handling real-time speech synthesis, or implementing RAG with advanced reranking, this skill offers the specific implementation patterns and troubleshooting solutions required for modern, production-grade AI development.

主な機能

Implementation of the v6 Output API for structured object, array, and choice generation
Advanced agentic patterns including ToolLoopAgent, MCP tools, and human-in-the-loop approvals
117 GitHub stars
Performance optimization and lazy-loading fixes for Cloudflare Workers environments
Comprehensive migration support for transitioning legacy v4/v5 code to AI SDK v6 stable
Multi-modal support for speech-to-text, text-to-speech, image generation, and PDF analysis

ユースケース

Refactoring deprecated generateObject calls to the modern AI SDK v6 Output API standard
Integrating multi-provider AI workflows involving embeddings, reranking, and transcription
Building high-performance, low-latency AI backends on serverless platforms like Cloudflare Workers

概要

主な機能

Implementation of the v6 Output API for structured object, array, and choice generation
Advanced agentic patterns including ToolLoopAgent, MCP tools, and human-in-the-loop approvals
117 GitHub stars
Performance optimization and lazy-loading fixes for Cloudflare Workers environments
Comprehensive migration support for transitioning legacy v4/v5 code to AI SDK v6 stable
Multi-modal support for speech-to-text, text-to-speech, image generation, and PDF analysis

ユースケース

Refactoring deprecated generateObject calls to the modern AI SDK v6 Output API standard
Integrating multi-provider AI workflows involving embeddings, reranking, and transcription
Building high-performance, low-latency AI backends on serverless platforms like Cloudflare Workers