agent-swarm

🥈Silver

Agent Swarm is a framework for orchestrating AI coding agents. It enables teams to automate complex coding tasks, improve code quality, and accelerate development cycles. Integrates with Claude and other AI agents to streamline workflows.

3050Updated 1mo ago

Intermediate30min to implementautomation

Saves ~210 min per use

Quick InstallView Source

git clone https://github.com/desplega-ai/agent-swarm.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/desplega-ai/agent-swarm

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 need to automate a complex coding task for [COMPANY] in the [INDUSTRY] sector. The task involves [DATA] processing and requires expertise in [PROGRAMMING_LANGUAGE]. Can you help me set up an Agent Swarm to handle this?

Example Output

# Agent Swarm Setup for Data Processing Task

## Task Breakdown
- **Data Ingestion**: Agent 1 will handle data extraction from various sources.
- **Data Cleaning**: Agent 2 will clean and preprocess the data.
- **Data Analysis**: Agent 3 will perform statistical analysis.
- **Report Generation**: Agent 4 will generate a comprehensive report.

## Agent Assignments
- **Agent 1**: Data Ingestion Specialist
  - Tools: Python, Pandas, SQL
  - Responsibilities: Extract data from databases and APIs
- **Agent 2**: Data Cleaning Specialist
  - Tools: Python, NumPy, Pandas
  - Responsibilities: Handle missing values, outliers, and data normalization
- **Agent 3**: Data Analysis Specialist
  - Tools: Python, SciPy, StatsModels
  - Responsibilities: Perform statistical analysis and generate insights
- **Agent 4**: Report Generation Specialist
  - Tools: Python, Matplotlib, Pandas
  - Responsibilities: Create visualizations and compile a final report

## Workflow
1. Agent 1 extracts data and passes it to Agent 2.
2. Agent 2 cleans the data and passes it to Agent 3.
3. Agent 3 analyzes the data and passes the results to Agent 4.
4. Agent 4 generates a report and presents it to the team.