How does the swarm handle progress tracking?

Workers use the swarm_progress tool to report status at 25%, 50%, and 75% completion, which triggers automatic system checkpoints.

When should I use the Swarm Coordination skill?

Use this skill for complex tasks affecting three or more files or when work can be parallelized, such as simultaneous frontend and backend development.

How does the skill prevent agents from overwriting each other?

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

What is the difference between foreground and background workers?

Foreground workers have access to MCP tools for interactive tasks, while background workers are limited to static work like documentation or basic code edits.

Swarm Coordination

Name: Swarm Coordination
Author: joelhooks

byjoelhooks

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359

생산성 및 워크플로

Orchestrates multi-agent workflows to parallelize complex software development tasks through autonomous coordination and file reservation protocols.

소개

The Swarm Coordination skill enables Claude to manage high-complexity tasks by deploying a network of specialized agents. It streamlines the multi-agent lifecycle by handling task decomposition, worker spawning, and conflict prevention through a strict file reservation system. Designed for large-scale refactors or features touching multiple files, this skill utilizes a 'hivemind' to query past learnings and distinguishes between foreground workers with MCP tool access and background workers for static tasks, significantly accelerating project timelines.

주요 기능

Conflict-free file reservation and release protocol
Automated progress reporting with status checkpoints
Differentiated foreground and background agent management
359 GitHub stars
Automated task decomposition and worker assignment
Hivemind integration for querying historical task data

사용 사례

Parallel development of frontend, backend, and testing layers
Large-scale refactoring touching three or more files simultaneously
Complex system migrations requiring specialized agent expertise

소개

주요 기능

Conflict-free file reservation and release protocol
Automated progress reporting with status checkpoints
Differentiated foreground and background agent management
359 GitHub stars
Automated task decomposition and worker assignment
Hivemind integration for querying historical task data

사용 사례

Parallel development of frontend, backend, and testing layers
Large-scale refactoring touching three or more files simultaneously
Complex system migrations requiring specialized agent expertise