koine

🥈Silver

Koine is an HTTP gateway and SDKs for Claude Code CLI, enabling developers to integrate Claude Code's capabilities into their applications. It supports TypeScript and Python, making it easy to automate tasks and workflows in operations.

94100Updated 1mo ago

Intermediate30min to implementautomation

Saves ~120 min per use

Quick InstallView Source

git clone https://github.com/pattern-zones-co/koine.git

Works with:

Claude

Overview

About This Skill

How to Use

[{"step":"Install Koine SDK and set up authentication","description":"Install the Koine SDK for your language (TypeScript or Python) and set your API key as an environment variable. For Python: `pip install koine-sdk` then set `KOINE_API_KEY=your_api_key_here`. For TypeScript: `npm install @koine/sdk` and configure in your project.","tips":["Use a dedicated API key with limited permissions for production","Store keys in environment variables or secret managers, never in code","Test the connection with a simple endpoint before building complex workflows"]},{"step":"Define the automation task and data sources","description":"Identify the specific task to automate (e.g., data processing, file generation, API calls) and the data sources it needs to interact with. Document the input format expected by your application and the output format required.","tips":["Start with small, testable components before building complex workflows","Use Koine's built-in tools for common operations (SQL queries, file operations) when possible","For custom operations, leverage Claude Code's existing capabilities through Koine"]},{"step":"Write and test the automation script","description":"Use the Koine SDK to write a script that performs your automation task. Start with a minimal version that handles the core functionality, then add error handling, logging, and edge cases. Test with sample data before running on production systems.","tips":["Use Koine's built-in error handling and retry mechanisms for API calls","Implement comprehensive logging for debugging and auditing","Validate all inputs and outputs to prevent data corruption"]},{"step":"Integrate with your application and monitor","description":"Deploy your automation script in your application environment. Set up monitoring to track execution success/failure rates, performance metrics, and any errors. Use Koine's logging and metrics endpoints to get visibility into your automated workflows.","tips":["Schedule regular reviews of automated workflows to ensure they're still meeting business needs","Set up alerts for failures or performance degradation","Document the automation's purpose, inputs, outputs, and maintenance requirements"]},{"step":"Scale and optimize","description":"As your automation needs grow, consider scaling your Koine implementation. This might involve moving from simple scripts to more complex orchestration, adding parallel processing for performance, or implementing more sophisticated error recovery strategies.","tips":["Use Koine's batch processing capabilities for high-volume operations","Consider implementing workflows that chain multiple Koine operations together","Monitor resource usage and optimize based on actual performance data"]}]

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/pattern-zones-co/koine

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

Use the Koine HTTP gateway to automate [TASK] in [PROGRAMMING_LANGUAGE]. Write a script that [SPECIFIC_ACTION] using the Claude Code SDK. For example: 'Use Koine to automate the generation of a weekly report in Python. The script should fetch data from [DATA_SOURCE], process it with [PROCESSING_METHOD], and save the output to [OUTPUT_FILE].' Include error handling for [COMMON_ERRORS].

Example Output

```python
# Koine Automated Weekly Report Generator
# Fetches sales data from PostgreSQL, processes it, and saves a summary report

import os
from datetime import datetime, timedelta
from koine import ClaudeClient

# Initialize Koine client with API key from environment
client = ClaudeClient(api_key=os.getenv('KOINE_API_KEY'))

# Define date range for the report
end_date = datetime.now().date()
start_date = end_date - timedelta(days=7)

# Fetch sales data from PostgreSQL
sales_query = """
SELECT product_id, SUM(quantity) as total_quantity, SUM(revenue) as total_revenue
FROM sales
WHERE sale_date BETWEEN %s AND %s
GROUP BY product_id
ORDER BY total_revenue DESC
"""

try:
    # Execute query and get raw data
    sales_data = client.execute_sql(
        db_type="postgresql",
        query=sales_query,
        params=[start_date, end_date]
    )

    # Process data to generate insights
    top_products = sales_data[:5]
    total_revenue = sum(row['total_revenue'] for row in sales_data)
    avg_order_value = total_revenue / len(sales_data) if sales_data else 0

    # Generate report content
    report_content = f"""
    Weekly Sales Report ({start_date} to {end_date})
    ==========================================
    
    Top 5 Products by Revenue:
    {chr(10).join(f"- Product {row['product_id']}: ${row['total_revenue']:.2f} ({row['total_quantity']} units)" for row in top_products)}
    
    Summary:
    - Total Revenue: ${total_revenue:.2f}
    - Average Order Value: ${avg_order_value:.2f}
    - Total Transactions: {len(sales_data)}
    
    Recommendations:
    1. Focus marketing efforts on Products {', '.join(str(row['product_id']) for row in top_products[:2])}
    2. Investigate low-performing products in the bottom 3
    """

    # Save report to file
    report_filename = f"weekly_sales_report_{end_date}.md"
    with open(report_filename, 'w') as f:
        f.write(report_content)

    print(f"Report generated successfully: {report_filename}")
    
except Exception as e:
    error_report = f"""
    Error generating report: {str(e)}
    
    Troubleshooting steps:
    1. Verify Koine API key is set in environment variables
    2. Check PostgreSQL connection details
    3. Validate the sales_query syntax
    """
    print(error_report)
    client.log_error(error_report)
```