What is the main benefit of the Swarm Coordination skill?

It allows you to break down large coding projects into smaller tasks that multiple AI agents can work on simultaneously, significantly reducing time-to-completion.

When should I use this skill instead of standard Claude Code?

Use it when a task involves changes to three or more files or when work can be clearly split into independent tracks like frontend, backend, and testing.

How does the skill prevent agents from overwriting each other's work?

It implements a strict file reservation protocol where worker agents must reserve specific files before editing and release them only upon completion.

What is the difference between foreground and background agents?

Foreground agents have full access to MCP tools for active operations, while background agents are restricted to static work like documentation edits.

Swarm Agent Coordination

Name: Swarm Agent Coordination
Author: primeinc

byprimeinc

生产力与工作流

Orchestrates multi-agent workflows to parallelize complex coding tasks and manage collaborative agent swarms.

关于

This skill empowers Claude Code with sophisticated multi-agent coordination patterns specifically designed for OpenCode swarm workflows. It enables the efficient decomposition of large-scale tasks—such as features spanning multiple files or complex refactors—into manageable units for parallel processing by specialized foreground and background agents. By implementing structured protocols for task initialization, file reservations, and progress reporting, it ensures high-speed delivery without the risk of file conflicts or redundant effort, making it essential for developers looking to maximize their AI-driven development velocity through parallelization.

主要功能

Decomposition of complex tasks into parallelizable worker threads
Integration with Swarm Mail for seamless inter-agent communication
0 GitHub stars
Strategic management of foreground and background agent tool access
Sophisticated file reservation protocol to prevent multi-agent conflicts
Automated progress tracking and checkpointing at key milestones

使用场景

Refactoring large codebases spanning 3 or more files simultaneously
Parallel development of frontend, backend, and test suites for a single feature
Coordinating specialized agents for system design and architecture reviews

关于

主要功能

Decomposition of complex tasks into parallelizable worker threads
Integration with Swarm Mail for seamless inter-agent communication
0 GitHub stars
Strategic management of foreground and background agent tool access
Sophisticated file reservation protocol to prevent multi-agent conflicts
Automated progress tracking and checkpointing at key milestones

使用场景

Refactoring large codebases spanning 3 or more files simultaneously
Parallel development of frontend, backend, and test suites for a single feature
Coordinating specialized agents for system design and architecture reviews