Agent skill · AI & Agents

dmux-workflows

Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across OpenAI Codex, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.

mturacgithub.com/mturacGitHub ↗
codexcopilotcursorMIT
Install
npx skills add mturac/everything-openai-codex --skill dmux-workflows --agent codex

Same command for any agent — swap --agent for claude-code, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/dmux-workflows/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 84
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# dmux Workflows Orchestrate parallel AI agent sessions using dmux, a tmux pane manager for agent harnesses. ## When to Activate - Running multiple agent sessions in parallel - Coordinating work across OpenAI Codex, Codex, and other harnesses - Complex tasks that benefit from divide-and-conquer parallelism - User says "run in parallel", "split this work", "use dmux", or "multi-agent" ## What is dmux dmux is a tmux-based orchestration tool that manages AI agent panes: - Press `n` to create a new pane with a prompt - Press `m` to merge pane output back to the main session - Supports: OpenAI Codex, Codex, OpenCode, Cline, Gemini, Qwen **Install:** Install dmux from its repository after reviewing the package. See [github.com/standardagents/dmux](https://github.com/standardagents/dmux) ## Quick Start ```bash # Start dmux session dmux # Create agent panes (press 'n' in dmux, then type prompt) # Pane 1: "Implement the auth middleware in src/auth/" # Pane 2: "Write tests for the user service" # Pane 3: "Update API documentation" # Each pane runs its own agent session # Press 'm' to merge results back ``` ## Workflow Patterns ### Pattern 1: Research + Implement Split research and implementa

What's inside
Steps it walks through
  1. When to Activate
  2. What is dmux
  3. Quick Start
  4. Workflow Patterns
  5. Pattern 1: Research + Implement
  6. Pattern 2: Multi-File Feature
  7. Pattern 3: Test + Fix Loop
  8. Pattern 4: Cross-Harness
  9. Pattern 5: Code Review Pipeline
  10. Best Practices
  11. Git Worktree Integration
  12. Complementary Tools
  13. ecc Helper
  14. Troubleshooting
Commands it runs
Start dmux session
dmux
Create agent panes (press 'n' in dmux, then type prompt)
Pane 1: "Implement the auth middleware in src/auth/"
Pane 2: "Write tests for the user service"
Pane 3: "Update API documentation"
Each pane runs its own agent session
Press 'm' to merge results back
Create worktrees for isolation
git worktree add -b feat/auth ../feature-auth HEAD
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About this skill
What does the dmux-workflows skill do?

Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across OpenAI Codex, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.

How do I install it?

Run `npx skills add mturac/everything-openai-codex --skill dmux-workflows --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From mturac/everything-openai-codex, a repository with 84 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going