AI-Chatbot-Starter-Kit

🥇Gold

The AI Chatbot Starter Kit is an open-source framework designed for developers to quickly create custom AI chatbots. With seamless integrations for popular platforms and data sources, it offers a minimal boilerplate solution for efficient chatbot development.

2050Updated 1w ago

Beginner15 minutes to implementdevelopment

Saves ~60 min per use

Quick InstallView Source

claude install UBOS-tech/AI-Chatbot-Starter-Kit

Works with:

ChatGPT

Overview

About This Skill

Use Cases

Rapidly develop customer support bots

Integrate chatbots with CRM systems

Create multi-platform chatbots for social media

Build custom LLM-based chat interfaces

Best For

GrowthRevOps

Setup & Installation

Quick Install

Terminal

claude install UBOS-tech/AI-Chatbot-Starter-Kit

Alternative Install (Git Clone)

git clone https://github.com/UBOS-tech/AI-Chatbot-Starter-Kit

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 the AI Chatbot Starter Kit to create a chatbot for [COMPANY] in the [INDUSTRY] sector. The chatbot should integrate with [DATA] and be deployed on [PLATFORM]. Include error handling and logging.

Example Output

# AI Chatbot Starter Kit Implementation for TechCorp

```python
# Import necessary modules
from chatbot_starter_kit import Chatbot
from integrations import SalesforceAPI, SlackAPI

# Initialize chatbot
techcorp_bot = Chatbot(
    name="TechCorp Support Bot",
    description="AI-powered support for TechCorp customers",
    api_key="your_api_key_here"
)

# Integrate with Salesforce for customer data
techcorp_bot.add_integration(SalesforceAPI(
    username="salesforce_user",
    password="salesforce_password",
    security_token="salesforce_token"
))

# Integrate with Slack for communication
techcorp_bot.add_integration(SlackAPI(
    token="slack_token",
    channel="#support"
))

# Define bot's response logic
def handle_message(message):
    # Process message and generate response
    response = techcorp_bot.process_message(message)
    return response

# Start the bot
if __name__ == "__main__":
    techcorp_bot.start()
```

## Key Features
- **Seamless Integrations**: Connects with Salesforce and Slack
- **Customizable**: Easily adaptable to different industries
- **Error Handling**: Built-in error handling for robust performance
- **Logging**: Comprehensive logging for monitoring and debugging