multi-agent-workflow

What problem does it solve?

This Skill eliminates the slow, sequential process of exploring multiple implementation approaches for a task. It allows you to concurrently develop and compare different solutions, drastically reducing development time and enabling objective decision-making.

Core Features & Use Cases

• Parallel Development: Launch multiple AI agents in isolated git worktrees, each implementing the same task using a different approach (e.g., different algorithms, frameworks, or design patterns).
• Automated Monitoring & Reporting: An observer agent monitors all worker agents, tracks their progress, runs quality checks (tests, linting), and compiles a comprehensive comparison report.
• Informed Decision-Making: The manager agent evaluates objective metrics (performance, test coverage, code quality) and qualitative assessments to select and merge the optimal implementation.
• Use Case: Implement a new data validation system. Launch three workers to explore Zod schema-based, functional composable, and class-based decorator approaches simultaneously. The observer will report on type safety, maintainability, and performance, allowing you to quickly choose the best solution.

Quick Start

I need to implement a user input validation system. Launch a multi-agent workflow with 3 workers to explore Zod, functional, and decorator approaches. Evaluate based on type safety, maintainability, and performance.