dmux-workflows

Orchestrate parallel AI agent workflows using tmux panes and git worktrees.

1|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/vrcms/everything-qwen-code --skill dmux-workflows-vrcms
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dmux-workflows
Source: https://github.com/vrcms/everything-qwen-code/tree/main/.qwen/skills/dmux-workflows
Command: npx skills add https://github.com/vrcms/everything-qwen-code --skill dmux-workflows-vrcms

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill solves the bottleneck of sequential AI task execution by enabling parallel, multi-agent orchestration through tmux-based pane management.

Core Features & Use Cases

  • Parallel Agent Orchestration: Manage multiple independent AI agent sessions simultaneously in a single terminal environment.
  • Workflow Isolation: Use git worktrees to ensure that parallel tasks do not conflict when modifying the same codebase.
  • Use Case: When building a complex feature, use this skill to run a research agent in one pane, a test-writing agent in another, and an implementation agent in a third, merging the results once all tasks are complete.

Quick Start

Activate the dmux-workflows skill to initialize a new multi-pane session for your current project tasks.

Frequently Asked Questions about dmux-workflows

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

FAQPage Schema
How do I run parallel AI agent sessions in the same terminal?

Tmux pane management enables parallel AI agent orchestration by maintaining isolated session states across multiple agent harnesses within a single terminal, increasing development throughput for complex coding tasks.

What is multi-agent orchestration for coding tasks?

Multi-agent orchestration coordinates simultaneous AI sessions to handle different facets of a complex task, allowing you to run research, implementation, and testing agents concurrently and merge their results upon completion.

Do I need git worktrees to isolate parallel AI coding workflows?

Git worktrees are required to maintain environment isolation and ensure parallel tasks do not conflict when multiple agents modify the same codebase simultaneously across different tmux panes.

Can I use tmux to manage multiple research and implementation agents?

Tmux pane management allows you to assign specific panes to different agents, such as running a research agent in one pane and an implementation agent in another, to execute simultaneous development workflows.

When should I use parallel agent workflows instead of sequential execution?

Use parallel agent workflows for complex, multi-faceted coding tasks where sequential execution creates a bottleneck, requiring simultaneous research, implementation, and testing to increase overall development throughput.

What are the limitations of using tmux for multi-agent orchestration?

Tmux-based multi-agent orchestration requires both tmux and git worktrees for environment isolation, meaning it is limited to terminal environments supporting these tools and requires proper worktree setup to prevent file conflicts.