What is the main benefit of using the ai-sdk-core skill?

It provides standardized, production-ready implementation patterns for Vercel AI SDK v5, helping you avoid common errors and optimize for specific environments like Cloudflare Workers.

Does this skill support multi-provider configurations?

Yes, it includes detailed setup guides and code samples for OpenAI, Anthropic, Google Gemini, and Cloudflare Workers AI.

How does it handle structured data generation?

It utilizes generateObject and streamObject combined with Zod schemas to ensure AI-generated output adheres to your specific data requirements.

What should I do if I encounter an AI_APICallError?

The skill includes a comprehensive error catalog with specific solutions for API failures, including retry logic and status code handling.

Is there support for migrating from AI SDK v4 to v5?

Yes, the skill contains a dedicated migration guide covering breaking changes like property renaming and package reorganization.

AI SDK Core Integration

Name: AI SDK Core Integration
Author: secondsky

bysecondsky

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数据科学与机器学习

Implements Vercel AI SDK v5 for robust server-side AI tasks, including text generation, structured data, and agentic tool calling across multiple providers.

关于

This skill provides production-ready patterns for integrating the Vercel AI SDK v5 into Claude Code workflows. It enables developers to implement backend AI capabilities like streaming text responses, generating validated JSON objects with Zod, and building autonomous agents. It specifically addresses common production challenges such as Cloudflare Worker startup limits, API error handling, and the migration path from SDK v4 to v5, ensuring reliable multi-provider support for OpenAI, Anthropic, and Google Gemini.

主要功能

Advanced tool calling and agent implementation with Zod schema validation
Standardized patterns for generateText, streamText, generateObject, and streamObject
Production-grade error handling for API calls and schema validation
Multi-provider support for OpenAI, Anthropic, Google Gemini, and Cloudflare Workers AI
Optimized configurations for Cloudflare Workers to avoid startup time limits
21 GitHub stars

使用场景

Creating multi-step AI agents that interact with external APIs via tool calling
Building server-side chat interfaces with real-time streaming capabilities
Extracting structured data from unstructured text into validated JSON formats

关于

主要功能

Advanced tool calling and agent implementation with Zod schema validation
Standardized patterns for generateText, streamText, generateObject, and streamObject
Production-grade error handling for API calls and schema validation
Multi-provider support for OpenAI, Anthropic, Google Gemini, and Cloudflare Workers AI
Optimized configurations for Cloudflare Workers to avoid startup time limits
21 GitHub stars

使用场景

Creating multi-step AI agents that interact with external APIs via tool calling
Building server-side chat interfaces with real-time streaming capabilities
Extracting structured data from unstructured text into validated JSON formats