act-operator

🥈Silver

Act-operator manages and standardizes Act Templates for AI workflows. It benefits operations teams by ensuring consistent AI agent behavior. It connects to LangChain and LangGraph for modular, scalable AI applications.

1870Updated 1mo ago

Intermediate30min to implementautomation

Saves ~30 min per use

Quick InstallView Source

git clone https://github.com/Proact0/act-operator.git

Works with:

Claude

Overview

About This Skill

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/Proact0/act-operator

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

Create an Act Template for a customer support AI agent in the [INDUSTRY] industry. The agent should handle [SPECIFIC TASKS] and integrate with [TOOLS/PLATFORMS]. Ensure the template includes error handling and fallback mechanisms.

Example Output

# Act Template: Customer Support AI Agent

## Description
This Act Template defines the structure and behavior of a customer support AI agent for the retail industry. The agent handles order tracking, return requests, and product inquiries.

## Inputs
- `customer_query`: The customer's input or question
- `order_id`: The order ID for tracking purposes
- `product_id`: The product ID for inquiries

## Outputs
- `response`: The AI agent's response to the customer
- `action`: The next action to be taken (e.g., 'track_order', 'initiate_return')

## Steps
1. **Greet the customer**: The agent greets the customer and acknowledges their query.
2. **Identify the intent**: The agent determines the customer's intent based on their query.
3. **Process the request**: The agent processes the request based on the identified intent.
4. **Provide a response**: The agent provides a response to the customer.
5. **Handle errors**: If an error occurs, the agent provides a fallback response and logs the error.

## Error Handling
- If the order ID or product ID is not found, the agent asks the customer to provide the correct information.
- If the agent cannot process the request, it provides a fallback response and logs the error.

## Fallback Mechanisms
- If the agent cannot determine the customer's intent, it asks the customer to rephrase their query.
- If the agent cannot provide a response, it transfers the customer to a human agent.