squad

Scaffold AI agent teams in a project directory using a CLI.

3.1k|475|Updated Feb 6, 2026

Search Tags:#developer tools #ai agents #project scaffolding #team management #copilot #codebase integration

Ready to run

npx skills add https://github.com/bradygaster/squad --skill squad-bradygaster

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: squad
Source: https://github.com/bradygaster/squad/tree/main/.squad
Command: npx skills add https://github.com/bradygaster/squad --skill squad-bradygaster

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Squad provides AI agent teams that integrate directly into your codebase, allowing you to describe your project and get specialized AI agents to help build it.

Core Features & Use Cases

AI Agent Teams: Get frontend, backend, and testing specialists that live in your repo.
Codebase Learning: Agents persist across sessions and learn your codebase.
Use Case: Start a new project by describing it to Squad, and it will propose a team of AI agents tailored to your project's needs, ready to start working immediately.

Quick Start

Use the squad skill to initialize a new AI agent team for your project.

Frequently Asked Questions about squad

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I scaffold AI agent teams for project development?▼

You can scaffold AI agent teams by running a CLI command within your project directory, which initializes configuration files and uses interactive prompts to define team composition, agent roles, and project context.

What are AI agent teams and how do they integrate into a codebase?▼

AI agent teams are specialized frontend, backend, and testing assistants that live directly in your repository, persisting across sessions to learn your codebase and facilitate AI-driven development workflows.

Can I customize agent roles when initializing a new project team?▼

Yes, you can customize agent roles through configuration files and interactive prompts during initialization, allowing the proposed team of AI agents to be tailored to your specific project needs.

Do I need any external dependencies to set up AI agents for codebase integration?▼

No external dependencies are required to set up AI agents for codebase integration, as the Skill operates independently using scripts, references, and assets to manage team structure within your project directory.

What is the best way to manage team composition for AI-driven development?▼

The best way to manage team composition is through configuration files that define team structure and agent responsibilities, enabling you to describe your project and get tailored AI specialists immediately.

How does codebase learning work across sessions for AI agents?▼

Codebase learning works by allowing the initialized AI agents to persist across sessions within your repository, continuously learning your project context and structure through the configuration files.