Swarm Coordination for OpenCode

About

This skill empowers developers to manage complex coding tasks by coordinating multiple AI agents in a structured swarm pattern. It facilitates efficient task decomposition, parallel execution, and session resilience while maintaining context through a centralized 'hivemind.' By implementing a rigorous coordinator-worker protocol, the skill ensures that workers handle file reservations correctly, report progress accurately, and store valuable codebase discoveries for future use. This is particularly useful for large-scale refactors or complex feature implementations where preserving context and avoiding redundant work are critical.

Key Features

• Multi-agent task decomposition and automated parallel coordination
• Sophisticated file reservation system to prevent agent editing collisions
• Hivemind persistent memory for building collective codebase knowledge
• 359 GitHub stars
• Automated progress tracking and milestone checkpoints for long-running tasks
• Context-aware worker spawning with foreground and background permission management

Use Cases

• Implementing complex features that require parallelized testing, documentation, and logic updates
• Executing massive codebase refactors across dozens of files simultaneously
• Preserving deep context during long sessions by offloading sub-tasks to specialized background workers