dmux-workflows

Orchestrate parallel AI agent sessions using dmux, a tmux-based pane manager.

Updated Jun 22, 2026
One-click install
npx skills add https://github.com/hector-manny/bussbot --skill dmux-workflows-hector-manny
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dmux-workflows
Source: https://github.com/hector-manny/bussbot/tree/main/.cursor/.agents/skills/dmux-workflows
Command: npx skills add https://github.com/hector-manny/bussbot --skill dmux-workflows-hector-manny

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The dmux-workflows Skill unit helps users streamline complex multi-agent development workflows, eliminating the need for manual session management and enabling parallelism in AI agent execution.

Core Features & Use Cases

  • Parallel Agent Orchestration: Manage multiple AI agent sessions in parallel with dmux, a tmux-based pane manager.
  • Agent Workflow Patterns: Offers templates for various workflows like research + implement, multi-file feature development, and test + fix loops.
  • Use Case: When developing a new software feature that requires simultaneous analysis and implementation tasks using multiple AI agents.

Quick Start

To start a dmux session for parallel AI agent workflows, use the command: dmux

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 across multiple sessions?▼

You can orchestrate parallel AI agent workflows by using dmux, a tmux-based pane manager, to handle simultaneous execution and eliminate manual session management across compatible agent harnesses.

What is the best way to run parallel AI coding agents for a multi-file feature?▼

The best way to run parallel AI coding agents is by utilizing pre-built workflow templates for multi-file feature development, which coordinate simultaneous analysis and implementation tasks across multiple agents.

Does dmux-workflows work with Claude Code and Codex for parallel execution?▼

Yes, dmux-workflows works with Claude Code, Codex, and OpenCode by using dmux to manage parallel AI agent sessions in tmux panes for streamlined multi-agent development.

How do I start a parallel AI workflow session using tmux?▼

To start a parallel AI workflow session, execute the `dmux` command to initialize the tmux-based pane manager and begin orchestrating your AI agent sessions.

Do I need to install tmux and dmux before running parallel AI agent sessions?▼

Yes, you must install the dmux dependency and have a compatible tmux environment set up before you can orchestrate parallel execution of AI agent sessions.

What are the limitations of using tmux for parallel AI agent orchestration?▼

The main limitation is that parallel AI agent orchestration requires compatible agent harnesses and the dmux pane manager; unsupported terminal environments or agents without CLI interfaces cannot be managed through these workflows.