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dmux-workflows

Manage parallel AI agent sessions across Claude Code, Codex, and OpenCode using dmux.

Updated Apr 6, 2026
Search Tags:#parallel processing#AI workflow#tmux#agent management#dmux
One-click install
npx skills add https://github.com/thangvawn/agent_financial --skill dmux-workflows-thangvawn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dmux-workflows
Source: https://github.com/thangvawn/agent_financial/tree/main/.cursor/.agents/skills/dmux-workflows
Command: npx skills add https://github.com/thangvawn/agent_financial --skill dmux-workflows-thangvawn

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of managing complex multi-agent workflows, particularly in AI agent orchestration, by leveraging the dmux pane manager for parallel session control.

Core Features & Use Cases

  • Parallel Agent Sessions: Facilitates the concurrent execution of multiple AI agent sessions.
  • Task Orchestration: Manages workflows across Claude Code, Codex, OpenCode, and other harnesses.
  • Use Case: Ideal for developers who need to run simultaneous sessions for tasks like code review, feature implementation, and documentation updates.

Quick Start

Start a dmux session and create panes for each task: "Start dmux, then create panes for code review, refactoring, and testing."

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 for concurrent code tasks?▼

This Skill manages parallel AI agent sessions using dmux, a tmux-based pane manager. It coordinates concurrent execution across Claude Code, Codex, and OpenCode for complex, multi-step tasks like code review and feature implementation.

Can I use tmux to orchestrate workflows across different AI coding assistants?▼

Yes, dmux orchestrates workflows across Claude Code, Codex, and OpenCode. It uses tmux to manage parallel sessions, allowing you to coordinate complex tasks across multiple AI coding assistants simultaneously.

What is dmux used for in multi-agent workflow management?▼

dmux is a tmux-based pane manager used for coordinating parallel AI agent sessions. It enables concurrent execution of complex, multi-step workflows across various AI harnesses like Claude Code and Codex.

Do I need tmux installed to manage parallel coding agent sessions?▼

Yes, both dmux and tmux must be installed. This Skill requires dmux to manage parallel AI agent sessions, and dmux itself relies on tmux for its underlying pane management functionality.

How do I start a dmux session for concurrent feature implementation and testing?▼

Start a dmux session and create distinct panes for each task, such as feature implementation and testing. This setup allows you to manage and monitor parallel AI agent sessions concurrently within tmux.

When should I use parallel AI agent sessions instead of a single session?▼

Use parallel AI agent sessions for complex, multi-step tasks that benefit from concurrent execution. It is ideal when you need to simultaneously run code reviews, feature implementations, and documentation updates.

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