parallel-agent-management

What problem does it solve?

This Skill addresses the challenge of managing and executing multiple AI agents concurrently on different parts of a codebase or for distinct sub-tasks, preventing conflicts and ensuring efficient parallel processing.

Core Features & Use Cases

• Worktree Isolation: Utilizes Git worktrees to provide each agent with an independent copy of the codebase, preventing file write conflicts.
• Containerization: Offers optional Docker container isolation for autonomous agents, enhancing safety when using flags like --dangerously-skip-permissions.
• Structured Contracts: Employs explicit communication contracts for sub-agents, clearly defining tasks, inputs, expected outputs, and constraints to minimize ambiguity.
• Use Case: Refactoring a large application where the frontend, backend, and testing components can be worked on simultaneously by different agents, with a central orchestrator merging their contributions.

Quick Start

Set up a new git worktree for an agent to work on the feature-api branch.