springfield-max

Orchestrate multi-agent software development workflows from prompt to deployment.

Updated Feb 9, 2026
One-click install
npx skills add https://github.com/hiapplyco/springfield-max --skill springfield-max
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: springfield-max
Source: https://github.com/hiapplyco/springfield-max/tree/main
Command: npx skills add https://github.com/hiapplyco/springfield-max --skill springfield-max

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates complex software development tasks by orchestrating specialized AI agents, ensuring quality and efficiency from prompt to deployment.

Core Features & Use Cases

  • End-to-End Automation: Manages the entire development lifecycle, from prompt optimization and research to implementation, testing, and deployment.
  • Specialized Agents: Utilizes 17 distinct AI agents (characters) with unique roles and expertise, including security, code review, and documentation.
  • Use Case: Build a new user authentication system by providing a simple prompt like "Build a user authentication system," and let Springfield Max handle the research, planning, coding, security checks, documentation, and deployment.

Quick Start

Use the springfield skill to build a user authentication system.

Frequently Asked Questions about springfield-max

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

FAQPage Schema
How do I automate the entire software development lifecycle from a single prompt?

Multi-agent workflow orchestration coordinates 17 specialized AI agents with distinct roles, effort levels, and context windows to execute autonomous software development. It employs mandatory quality gates and promise-based completion tracking to ensure reliable handoffs between research, implementation, and testing phases.

What's the best way to orchestrate multi-agent workflows for autonomous code generation?

Multi-agent workflow orchestration coordinates 17 specialized AI agents with distinct roles, effort levels, and context windows to execute autonomous software development. It employs mandatory quality gates and promise-based completion tracking to ensure reliable handoffs between research, implementation, and testing phases.

Can I use an autonomous workflow orchestrator for building a complete user authentication system?

Yes, you can use an autonomous workflow orchestrator to build a user authentication system by providing a simple prompt. The multi-agent workflow handles the research, planning, code generation, security checks, documentation, and deployment required for the authentication system without manual intervention.

Does multi-agent code generation enforce quality assurance and security checks automatically?

Yes, multi-agent code generation enforces mandatory quality gates automatically by utilizing specialized agents with distinct roles for security and code review. The workflow employs promise-based completion tracking to ensure quality assurance checks are passed before moving to deployment.

When should I not use an autonomous software development orchestrator?

You should avoid using an autonomous software development orchestrator for tasks requiring highly specialized, manual code customization or when your project lacks clear prompt definitions. The workflow relies on prompt engineering and automated agent roles, making it less suitable for ambiguous or highly constrained legacy system modifications.