open-chatgpt-atlas

🥈Silver

Open-source alternative to ChatGPT Atlas. Enables operations teams to automate browser-based tasks using AI agents. Integrates with Chromium and Electron.js for desktop automation. Supports Claude and other AI models.

396660Updated 1w ago

Intermediate30min to implementautomation

Saves ~120 min per use

Quick InstallView Source

git clone https://github.com/ComposioHQ/open-chatgpt-atlas.git

Works with:

Claude

Overview

About This Skill

https://github.com/composiohq/open-chatgpt-atlas

Use Cases

Automate checking unread messages in Gmail with a simple command.

Create and manage GitHub issues directly through chat prompts.

Send messages to Slack channels without manual input.

Navigate to websites and perform actions like scrolling or clicking with natural language commands.

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/ComposioHQ/open-chatgpt-atlas

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

Act as an open-source alternative to ChatGPT Atlas. I need to automate a workflow for [COMPANY] in the [INDUSTRY] sector. The workflow involves [DATA] processing, [TASK] execution, and [INTEGRATION] with existing systems. Provide a step-by-step automation plan using open-source tools.

Example Output

# Automation Plan for [COMPANY]

## Workflow Overview
- **Data Processing**: Extract and clean data from [DATA] sources.
- **Task Execution**: Automate [TASK] using open-source tools.
- **Integration**: Ensure seamless integration with existing systems.

## Step-by-Step Plan
1. **Data Extraction**: Use Python scripts with libraries like Pandas to extract data from [DATA] sources.
2. **Data Cleaning**: Implement data cleaning routines to handle missing values and inconsistencies.
3. **Task Automation**: Utilize open-source tools like Apache Airflow to schedule and execute [TASK].
4. **System Integration**: Develop APIs using Flask or FastAPI to integrate with existing systems.
5. **Monitoring and Logging**: Set up monitoring using Prometheus and Grafana to track performance and errors.

## Tools and Technologies
- **Programming Languages**: Python, JavaScript
- **Libraries**: Pandas, NumPy
- **Frameworks**: Apache Airflow, Flask, FastAPI
- **Monitoring**: Prometheus, Grafana