hello-agents

🥇Gold

Hello-agents is a Python-based tutorial for building intelligent agents from scratch. It benefits developers and operations teams by providing a practical guide to implementing LLM-powered agents. The skill connects to Claude and can be applied in various business workflows requiring automation and intelligent decision-making.

21,6662,0810Updated Today

Intermediate30min to implementautomation

Saves ~15 min per use

Quick InstallView Source

git clone https://github.com/datawhalechina/hello-agents.git

Works with:

Claude

Overview

About This Skill

https://datawhalechina.github.io/hello-agents/

Use Cases

Develop a personalized travel assistant that interacts with users and provides tailored recommendations.

Create a multi-agent system that collaborates to solve complex problems in real-time.

Implement a smart agent that automates data retrieval and processing tasks using LLMs.

Build a context-aware agent that maintains user preferences and adapts its responses accordingly.

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/datawhalechina/hello-agents

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

I'm building an intelligent agent for [COMPANY] in the [INDUSTRY] sector. Can you provide a step-by-step guide on how to implement the core principles from the Hello-Agents tutorial using [DATA]?

Example Output

### Intelligent Agent Implementation Guide

**Company:** Tech Innovations Inc.
**Industry:** Software Development

To build an intelligent agent for Tech Innovations Inc. in the software development sector, follow these steps:

1. **Define the Objective:** Determine the primary function of the agent, such as automating code reviews or enhancing customer support.
2. **Gather Data:** Collect relevant data, such as previous code commits and customer inquiries, to train your agent effectively.
3. **Select Algorithms:** Choose appropriate machine learning algorithms that fit the objectives, such as decision trees for classification tasks.
4. **Build and Test:** Develop the agent using the principles outlined in the Hello-Agents tutorial, followed by rigorous testing to ensure it meets performance benchmarks.
5. **Deploy and Monitor:** Launch the agent in a controlled environment, continuously monitoring its performance and making adjustments as needed.

By adhering to these guidelines, Tech Innovations Inc. can create a robust intelligent agent tailored to its specific needs.