oi

🥈Silver

Overide is a CLI tool that integrates AI-driven code generation into development workflows. It supports multiple platforms and enhances coding efficiency by allowing developers to generate, update, and integrate code using predefined prompts. It connects to ChatGPT and is written in TypeScript.

192130Updated Today

Intermediate15 minutes to implementdevelopment

Saves ~180 min per use

Quick InstallView Source

claude install oi-overide/oi

Works with:

ChatGPT

Overview

About This Skill

Use Cases

Automating repetitive coding tasks

Generating code snippets based on prompts

Integrating AI suggestions directly into code editors

Setup & Installation

Quick Install

Terminal

claude install oi-overide/oi

Alternative Install (Git Clone)

git clone https://github.com/oi-overide/oi

Requirements

Claude Code or compatible AI agent
Works with: ChatGPT

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

Generate a Python script using [LIBRARY] to [TASK] for [COMPANY] in the [INDUSTRY] sector. Ensure the code is well-commented and follows best practices. Include error handling and logging.

Example Output

# Python Script for Data Analysis

# This script uses Pandas to analyze sales data for TechCorp in the retail industry.
# It includes error handling and logging for robust execution.

import pandas as pd
import logging

# Configure logging
logging.basicConfig(filename='sales_analysis.log', level=logging.INFO)

try:
    # Load the dataset
    df = pd.read_csv('sales_data.csv')
    
    # Data cleaning
    df.dropna(inplace=True)
    
    # Calculate key metrics
    total_sales = df['Sales'].sum()
    avg_sales = df['Sales'].mean()
    
    # Log results
    logging.info(f'Total Sales: {total_sales}')
    logging.info(f'Average Sales: {avg_sales}')
    
    # Output results
    print(f'Total Sales: {total_sales}')
    print(f'Average Sales: {avg_sales}')

except Exception as e:
    logging.error(f'An error occurred: {str(e)}')
    print('An error occurred. Check the log file for details.')