agentscope

🥇Gold

AgentScope enables developers to build LLM applications using agent-oriented programming. It supports multi-agent systems, multi-modal interactions, and integrates with Claude. Ideal for creating complex chatbots and automation workflows.

16,2251,4160Updated 1w ago

Intermediate30min to implementautomation

Saves ~100 min per use

Quick InstallView Source

git clone https://github.com/agentscope-ai/agentscope.git

Works with:

Claude

Overview

About This Skill

https://doc.agentscope.io/

Use Cases

Create a responsive chatbot that can handle customer inquiries and provide real-time support.

Develop a voice assistant capable of executing commands and providing information through natural language.

Implement a multi-agent system for complex workflows, allowing agents to collaborate and share information seamlessly.

Automate data processing tasks using specialized agents that can handle various data formats and sources.

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/agentscope-ai/agentscope

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

Using AgentScope, create a new LLM application for [COMPANY] in the [INDUSTRY] sector that focuses on [DATA]. Outline the key features and expected outcomes.

Example Output

### AgentScope Application for TechCorp

**Industry:** Technology  
**Focus Area:** Customer Support  

**Key Features:**  
- **Automated Responses:** The application will provide instant answers to frequently asked questions, reducing response times by 70%.  
- **Sentiment Analysis:** It will analyze customer queries to tailor responses based on user sentiment, improving customer satisfaction.  
- **Integration with CRM:** Seamless integration with TechCorp's existing CRM system to pull customer data and enhance personalization.

**Expected Outcomes:**  
- A 50% reduction in customer service workload.  
- Improved customer satisfaction scores by 30%.  
- Increased efficiency in handling customer inquiries, allowing support staff to focus on complex issues.