ai-sdk-provider-claude-code

🥈Silver

Vercel AI SDK community provider for Claude Code SDK. Enables operations teams to integrate Claude Code via SDK for Pro/Max subscriptions. Connects to Vercel AI SDK for streamlined automation workflows.

328420Updated 2d ago

Intermediate30min to implementautomation

Saves ~45 min per use

Quick InstallView Source

git clone https://github.com/ben-vargas/ai-sdk-provider-claude-code.git

Works with:

Claude

Overview

About This Skill

The ai-sdk-provider-claude-code skill is designed to facilitate the integration of the Vercel AI SDK with the Claude Code SDK, making it easier for developers to leverage AI automation within their applications. This skill enables users with Pro or Max subscriptions to utilize the capabilities of the Vercel AI SDK seamlessly, enhancing their development processes and enabling more efficient AI-driven solutions. By streamlining this integration, developers can focus on building innovative features rather than getting bogged down in complex setup processes. One of the key benefits of using this skill is the potential for significant time savings in workflow automation. While the exact time savings are currently unknown, the streamlined integration process is expected to reduce the time spent on manual coding and configuration. This allows developers to accelerate their project timelines and deliver AI-enhanced applications more quickly. Given its intermediate complexity, users can implement this skill in approximately 30 minutes, making it a practical choice for teams looking to adopt AI automation without extensive overhead. This skill is particularly beneficial for developers and product managers who are looking to harness AI capabilities within their products. By integrating the Vercel AI SDK, teams can create applications that utilize advanced AI functionalities, such as natural language processing and machine learning, enhancing user experiences and operational efficiency. For instance, a product manager could use this skill to quickly prototype an AI-driven feature that analyzes user behavior, leading to data-driven decisions and improved product offerings. The implementation of the ai-sdk-provider-claude-code skill fits seamlessly into AI-first workflows, allowing teams to adopt a more agile approach to development. As AI continues to transform industries, having the ability to integrate advanced AI capabilities efficiently is crucial. This skill not only simplifies the integration process but also empowers teams to innovate and respond to market demands swiftly. With its intermediate difficulty level, it is accessible to those with a foundational understanding of AI and automation, making it a valuable addition to any developer's toolkit.

How to Use

["1. Set up your Vercel AI SDK environment by following the official documentation. Install the Vercel AI SDK and the Claude Code community provider.","2. Obtain your API keys for both Vercel and Claude Code. Store them securely in environment variables or a secrets manager.","3. Create a new Python file and use the prompt template to generate your automation script. Customize the placeholders with your specific task, data source, and data type.","4. Test your script in a development environment first. Verify that it connects to your data source and processes the data as expected.","5. For better results, provide detailed information about your data structure and the specific analysis or processing you need. Include examples if possible."]

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/ben-vargas/ai-sdk-provider-claude-code

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Using the Vercel AI SDK community provider for Claude Code, generate a Python script that automates [TASK]. The script should connect to [DATA_SOURCE] and process [DATA_TYPE]. Include error handling for [SPECIFIC_ERRORS] and log results to [LOG_FILE].

Example Output

Here's a Python script generated using the Vercel AI SDK community provider for Claude Code that automates data extraction from a SQL database and processes customer records:

```python
import os
from vercel_ai_sdk import VercelAI
from claudecode import ClaudeCode

# Initialize connections
vercel_ai = VercelAI(api_key=os.getenv('VERCEL_API_KEY'))
claudecode = ClaudeCode(api_key=os.getenv('CLAUDE_API_KEY'))

# Connect to SQL database
def get_customer_data():
    try:
        query = "SELECT * FROM customers WHERE last_purchase_date > '2023-01-01'"
        results = vercel_ai.sql_query(query)
        return results
    except Exception as e:
        print(f"Error fetching data: {str(e)}")
        return None

# Process customer data
def process_customers(data):
    if not data:
        return
    try:
        # Use Claude Code to analyze and categorize customers
        analysis = claudecode.analyze(
            prompt="Categorize these customers based on purchase history:",
            data=data
        )
        return analysis
    except Exception as e:
        print(f"Error processing data: {str(e)}")

# Main execution
if __name__ == "__main__":
    customer_data = get_customer_data()
    if customer_data:
        processed_data = process_customers(customer_data)
        with open('customer_analysis.log', 'w') as f:
            f.write(str(processed_data))
```

This script connects to a SQL database, extracts customer records from 2023, and uses Claude Code to analyze and categorize the customers based on their purchase history. Error handling is included for database connection issues and API call failures, with results logged to a file.