dmux-workflows

Orchestrate parallel AI agent sessions using dmux for multi-agent workflows.

2|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/klu-dev/porting-ecc-to-vscode --skill dmux-workflows-klu-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dmux-workflows
Source: https://github.com/klu-dev/porting-ecc-to-vscode/tree/main/.github/skills/dmux-workflows
Command: npx skills add https://github.com/klu-dev/porting-ecc-to-vscode --skill dmux-workflows-klu-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill solves the challenge of running and coordinating multiple AI agent sessions in parallel, enabling more efficient multi-agent workflows.

Core Features & Use Cases

  • Multi-Agent Orchestration: Manages AI agent sessions using dmux, a tmux-based pane manager.
  • Parallel Execution: Facilitates the simultaneous operation of multiple agent sessions.
  • Complex Task Execution: Suitable for complex tasks that benefit from parallel processing.
  • Use Case: When running tasks like simultaneous research and implementation across different AI agents.

Quick Start

To activate the dmux workflow, start by invoking 'dmux'. Create new agent panes and enter prompts to begin each session.

Frequently Asked Questions about dmux-workflows

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

FAQPage Schema
How do I orchestrate parallel AI agent workflows for simultaneous task execution?

You orchestrate parallel AI agent workflows by invoking dmux to create and manage multiple tmux-based panes, enabling simultaneous task execution across different AI agents. This facilitates complex multi-agent coordination for parallel research and code development.

What is dmux used for in multi-agent AI sessions?

dmux is a tmux-based tool used for managing AI agent panes and orchestrating parallel execution of multiple agent sessions. It enables users to coordinate complex multi-agent workflows by running simultaneous sessions across different panes.

Do I need tmux installed to run parallel AI agent sessions with dmux?

Yes, you need the dmux dependency installed, which is a tmux-based tool for managing agent panes. This prerequisite provides the underlying session management required to create panes and execute parallel AI agent workflows.

How do I start a multi-agent workflow using dmux?

To start a multi-agent workflow, invoke dmux to initialize the session manager, then create new agent panes and enter prompts to begin each AI agent session. This allows you to run simultaneous research and implementation tasks across panes.

When should I use parallel multi-agent workflows instead of a single AI agent?

You should use parallel multi-agent workflows for complex tasks that benefit from simultaneous processing, such as running parallel research and code implementation across different AI agents. This approach maximizes efficiency when tasks can be executed concurrently.