mm-swarm

Name: mm-swarm
Availability: InStock
Author: mikkeymoo

Orchestrate parallel tasks across multiple agents in isolated git worktrees.

1|Updated Apr 6, 2026

Search Tags:#parallel processing #multi-agent #task orchestration #code reviews #worktree isolation

Ready to run

npx skills add https://github.com/mikkeymoo/claude-solo --skill mm-swarm

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mm-swarm
Source: https://github.com/mikkeymoo/claude-solo/tree/main/mm-skills/mm-swarm
Command: npx skills add https://github.com/mikkeymoo/claude-solo --skill mm-swarm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the challenge of orchestrating multiple agents to execute independent tasks in parallel, optimizing workflow efficiency and throughput.

Core Features & Use Cases

Parallel Task Execution: Distribute independent tasks across multiple agents to operate simultaneously.
Worktree Isolation: Agents work in separate git branches to avoid conflicts and ensure task autonomy.
Monitoring and Merging: Track progress of agents and merge results, resolving conflicts where necessary.
Use Case: Ideal for developers managing complex projects requiring parallel processing of numerous tasks, such as code reviews or feature development.

Quick Start

/mm-swarm 5

Frequently Asked Questions about mm-swarm

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I run parallel tasks across multiple agents without file conflicts?▼

Parallel task execution distributes independent tasks across multiple agents simultaneously to optimize workflow efficiency. Each agent works within an isolated git worktree to prevent file conflicts and maintain task autonomy before merging.

What is the best way to orchestrate multi-agent workflows for code reviews?▼

Multi-agent workflow orchestration distributes independent code review tasks across multiple agents working in parallel. It tracks agent progress, merges results, and resolves conflicts to optimize throughput on complex software engineering projects.

How do I merge results from parallel agents working in isolated git worktrees?▼

Merging results from parallel agents in isolated git worktrees involves monitoring agent progress and resolving any conflicts that arise during coordination. This ensures all independent task outputs are successfully integrated into the main project.

Can I scale task orchestration to handle complex projects with many independent features?▼

Task orchestration scales to handle complex projects with many independent features by distributing them across multiple agents for simultaneous execution. It manages dependencies and merges work to maintain high workflow throughput.

When should I avoid using parallel multi-agent task orchestration?▼

You should avoid parallel multi-agent task orchestration when tasks have heavy dependencies or require sequential execution. It is designed for independent tasks, so tightly coupled code changes complicate worktree isolation and conflict resolution.