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.
claude install UBOS-tech/AI-Chatbot-Starter-KitThe 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.
Rapidly develop customer support bots
Integrate chatbots with CRM systems
Create multi-platform chatbots for social media
Build custom LLM-based chat interfaces
claude install UBOS-tech/AI-Chatbot-Starter-Kitgit clone https://github.com/UBOS-tech/AI-Chatbot-Starter-KitCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
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.
# 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 debuggingConnect your sales stack seamlessly
Automate your customer service.
Automate conversations, accelerate conversions
Orchestrate workloads with multi-cloud support, job scheduling, and integrated service discovery features.
Manage CI/CD processes efficiently with build configuration as code and multi-language support.
Enhance performance monitoring and root cause analysis with real-time distributed tracing.