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rlagycks
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dmux-workflows

Orchestrate multiple AI agent sessions for parallel workflows.

3|Updated Apr 9, 2026
Search Tags:#automation#multi-agent#orchestration#tmux#agent management#parallel workflows
One-click install
npx skills add https://github.com/rlagycks/oh-my-forge --skill dmux-workflows-rlagycks
Or copy as Structured Prompt for Agentโ–ผ
Please help me install this Agent Skill.
Skill: dmux-workflows
Source: https://github.com/rlagycks/oh-my-forge/tree/main/.agents/skills/dmux-workflows
Command: npx skills add https://github.com/rlagycks/oh-my-forge --skill dmux-workflows-rlagycks

SYSTEM DOCUMENTATION & REQUIREMENTS

๐Ÿ’ก This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill facilitates managing multiple AI agent sessions simultaneously, reducing manual coordination efforts in multi-agent workflows.

Core Features & Use Cases

  • Parallel Agent Management: Orchestrate concurrent AI agent sessions across tools like Claude Code, Codex, and more.
  • Workflow Pattern Support: Implement research, implementation, testing, review, and cross-harness workflows in parallel.
  • Use Case: When a team needs to split tasks such as API development and documentation updates into separate agent panes working simultaneously, this Skill coordinates their execution effectively.

Quick Start

Describe your parallel agent workflow with dmux to optimize collaborative AI development tasks.

Frequently Asked Questions about dmux-workflows

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

FAQPage Schema
How do I orchestrate multiple AI agent sessions for parallel workflows?โ–ผ

You can orchestrate multiple AI agent sessions for parallel workflows by defining user pane controls and coordinating execution across concurrent tools. This automation manages structure patterns like research-implementation splits and multi-file feature development simultaneously.

What is multi-agent orchestration for software engineering tasks?โ–ผ

Multi-agent orchestration for software engineering tasks automates the coordination of concurrent AI agent sessions to reduce manual effort. It supports splitting API development and documentation updates into separate agent panes working simultaneously.

Can I manage parallel AI agents across different tools like Claude Code and Codex?โ–ผ

Yes, you can manage parallel AI agents across tools like Claude Code and Codex. The orchestration supports cross-harness workflows, allowing concurrent AI agent sessions to execute research, implementation, testing, and review patterns effectively.

How do I coordinate research and implementation splits in multi-file feature development?โ–ผ

To coordinate research and implementation splits in multi-file feature development, you define parallel workflow patterns with user-defined pane controls. This ensures efficient coordination and version management across separate agent sessions.

What are the limitations of using tmux-based agent management for AI development?โ–ผ

The limitations of tmux-based agent management for AI development depend on user-defined pane controls and version management tool compatibility. It is designed for parallel workflows and multi-tasking scenarios, so complex sequential dependencies may not be optimal.

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