dmux-workflows

Manage tmux panes to run and monitor multiple AI agent sessions.

Updated Mar 15, 2026
One-click install
npx skills add https://github.com/abhishekdutta18/blogspro --skill dmux-workflows-abhishekdutta18
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dmux-workflows
Source: https://github.com/abhishekdutta18/blogspro/tree/main/.claude/skills/dmux-workflows
Command: npx skills add https://github.com/abhishekdutta18/blogspro --skill dmux-workflows-abhishekdutta18

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables efficient management and coordination of multiple AI agent sessions using dmux, a tmux pane manager, simplifying complex multi-agent workflows.

Core Features & Use Cases

  • Parallel Agent Management: Organize and run multiple AI sessions simultaneously for research, development, or review tasks.
  • Workflow Automation: Implement patterns such as research + implementation, cross-harness, or code review pipelines effortlessly.
  • Use Case: A developer orchestrates parallel testing, coding, and review agents in different panes to accelerate project delivery.

Quick Start

Use the dmux skill to create a structured multi-pane environment for coordinating your AI agents efficiently.

Frequently Asked Questions about dmux-workflows

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

FAQPage Schema
How do I run multiple AI agents in parallel for development tasks?

You can run multiple AI agents in parallel by using tmux pane orchestration to organize, monitor, and merge multiple simultaneous sessions for development, research, or review tasks.

What is multi-agent orchestration and how does it help with workflow automation?

Multi-agent orchestration coordinates several AI sessions simultaneously, enabling workflow automation patterns like research and implementation or cross-harness pipelines to accelerate project delivery.

Can I use tmux to manage parallel coding and review agents?

Yes, tmux is used to manage parallel coding and review agents by creating a structured multi-pane environment where you can monitor and coordinate multiple AI sessions efficiently.

What is the best way to coordinate research and implementation agents simultaneously?

The best way to coordinate research and implementation agents is through parallel orchestration patterns that run multiple AI sessions in separate panes, simplifying complex multi-agent workflows.

Do I need any specific dependencies to set up parallel AI sessions?

You need tmux installed to set up parallel AI sessions, as the workflow relies on tmux pane management to run, monitor, and merge multiple agent sessions without additional dependencies.

When should I use tmux pane management for multi-agent workflows?

You should use tmux pane management for multi-agent workflows when you need to orchestrate parallel testing, coding, and review agents simultaneously to accelerate project delivery.