agentica

🥇Gold

Agentica is a TypeScript-based AI function calling framework that enhances capabilities with advanced compiler skills. It supports multi-agent systems and integrates with various AI models for efficient function execution.

1,019570Updated Today

Intermediate15 minutes to implementdevelopment

Saves ~180 min per use

Quick InstallView Source

claude install wrtnlabs/agentica

Works with:

ClaudeChatGPT

Overview

About This Skill

https://wrtnlabs.io/agentica/docs/

How to Use

["1. Define the specific task you want to automate and the roles each agent will play in the process.","2. Use Agentica's TypeScript-based framework to create the agents and define their responsibilities.","3. Integrate OpenAI's GPT-4 model into each agent for natural language processing tasks.","4. Test the system with various input types to ensure it can handle the desired outputs.","5. Deploy the system and monitor its performance, making adjustments as needed."]

Use Cases

Build AI-driven chatbots that can interact with users in natural language.

Integrate AI functions into existing applications to enhance their capabilities.

Create multi-agent systems that can collaborate on complex tasks efficiently.

Enhance retrieval-augmented generation workflows to improve information retrieval.

Best For

GrowthRevOps

Setup & Installation

Quick Install

Terminal

claude install wrtnlabs/agentica

Alternative Install (Git Clone)

git clone https://github.com/wrtnlabs/agentica

Requirements

Claude Code or compatible AI agent
Works with: Claude, 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

Create a multi-agent system using Agentica to automate the process of [TASK]. Define the roles of each agent, their responsibilities, and how they will collaborate. Use OpenAI's GPT-4 model for natural language processing tasks. Ensure the system can handle [SPECIFIC INPUT] and provide [DESIRED OUTPUT].

Example Output

To automate the process of customer support ticket resolution, we can create a multi-agent system using Agentica. The system will consist of three agents: the Ticket Triage Agent, the Issue Resolution Agent, and the Customer Communication Agent. The Ticket Triage Agent will be responsible for categorizing incoming tickets based on their urgency and complexity. It will use OpenAI's GPT-4 model to analyze the ticket descriptions and assign appropriate tags. The Issue Resolution Agent will then take the categorized tickets and work on resolving them. It will have access to a knowledge base of common issues and solutions, and it will use the GPT-4 model to generate potential solutions. The Customer Communication Agent will handle all interactions with the customer, providing updates on the status of their ticket and any necessary instructions. This agent will also use the GPT-4 model to generate natural language responses. The system can handle a variety of input types, including email, chat, and phone transcripts, and it can provide detailed resolution steps, customer updates, and escalation notifications as output.