ClaudeCodexOpenCodeOrchestration & Workflow

dmux-workflows

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

144,923 stars
Complexity: medium

About this skill

The `dmux-workflows` skill leverages `dmux`, a specialized `tmux` pane manager, to orchestrate and manage parallel sessions for AI agents. It provides patterns for executing agent workflows concurrently across different AI agent harnesses such as Claude Code, Codex, and OpenCode. This skill is designed to streamline complex development tasks that benefit from a divide-and-conquer approach, allowing agents to work on independent sub-tasks simultaneously while providing a unified management interface for coordination and oversight.

Best use case

Executing independent or interdependent AI agent tasks concurrently; coordinating development or problem-solving efforts across different agent platforms; breaking down complex problems into smaller, parallelizable sub-problems for agents; streamlining the development and testing of AI agent systems.

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

An organized `tmux` session displaying multiple AI agent panes, each working on its assigned sub-task; faster completion of complex tasks through parallel processing; improved oversight and management of diverse agent activities; consolidated results or progress updates from all parallel agent sessions.

Practical example

Example input

Use dmux-workflows to parallelize the code review process. Have Claude Code review the backend API, and Codex review the frontend component.

Example output

Initiating dmux session for parallel code review. Claude Code is now reviewing backend API in pane 1, and Codex is reviewing the frontend component in pane 2. I will notify you when both reviews are complete, or if any issues arise.

When to use this skill

  • When needing to run several AI agent sessions at the same time; when coordinating efforts between agents like Claude Code, Codex, or OpenCode; for complex tasks that can be broken into parallel components; upon explicit user requests such as 'run in parallel', 'split this work', 'use dmux', or 'agent orchestration'.

When not to use this skill

  • For simple, single-agent tasks that do not benefit from concurrency; when a task requires strict sequential execution without any parallel components; if the overhead of setting up and managing an orchestrated environment outweighs the benefits for a particular task.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/dmux-workflows/SKILL.md --create-dirs "https://raw.githubusercontent.com/affaan-m/everything-claude-code/main/.agents/skills/dmux-workflows/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/dmux-workflows/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How dmux-workflows Compares

Feature / Agentdmux-workflowsStandard Approach
Platform SupportClaude, Codex, OpenCodeLimited / Varies
Context Awareness High Baseline
Installation ComplexitymediumN/A

Frequently Asked Questions

What does this skill do?

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

Which AI agents support this skill?

This skill is designed for Claude, Codex, OpenCode.

How difficult is it to install?

The installation complexity is rated as medium. You can find the installation instructions above.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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 Claude Code, 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: Claude Code, Codex, OpenCode, Cline, Gemini, Qwen

**Install:** `npm install -g dmux` or 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 implementation into parallel tracks:

```
Pane 1 (Research): "Research best practices for rate limiting in Node.js.
  Check current libraries, compare approaches, and write findings to
  /tmp/rate-limit-research.md"

Pane 2 (Implement): "Implement rate limiting middleware for our Express API.
  Start with a basic token bucket, we'll refine after research completes."

# After Pane 1 completes, merge findings into Pane 2's context
```

### Pattern 2: Multi-File Feature

Parallelize work across independent files:

```
Pane 1: "Create the database schema and migrations for the billing feature"
Pane 2: "Build the billing API endpoints in src/api/billing/"
Pane 3: "Create the billing dashboard UI components"

# Merge all, then do integration in main pane
```

### Pattern 3: Test + Fix Loop

Run tests in one pane, fix in another:

```
Pane 1 (Watcher): "Run the test suite in watch mode. When tests fail,
  summarize the failures."

Pane 2 (Fixer): "Fix failing tests based on the error output from pane 1"
```

### Pattern 4: Cross-Harness

Use different AI tools for different tasks:

```
Pane 1 (Claude Code): "Review the security of the auth module"
Pane 2 (Codex): "Refactor the utility functions for performance"
Pane 3 (Claude Code): "Write E2E tests for the checkout flow"
```

### Pattern 5: Code Review Pipeline

Parallel review perspectives:

```
Pane 1: "Review src/api/ for security vulnerabilities"
Pane 2: "Review src/api/ for performance issues"
Pane 3: "Review src/api/ for test coverage gaps"

# Merge all reviews into a single report
```

## Best Practices

1. **Independent tasks only.** Don't parallelize tasks that depend on each other's output.
2. **Clear boundaries.** Each pane should work on distinct files or concerns.
3. **Merge strategically.** Review pane output before merging to avoid conflicts.
4. **Use git worktrees.** For file-conflict-prone work, use separate worktrees per pane.
5. **Resource awareness.** Each pane uses API tokens — keep total panes under 5-6.

## Git Worktree Integration

For tasks that touch overlapping files:

```bash
# Create worktrees for isolation
git worktree add ../feature-auth feat/auth
git worktree add ../feature-billing feat/billing

# Run agents in separate worktrees
# Pane 1: cd ../feature-auth && claude
# Pane 2: cd ../feature-billing && claude

# Merge branches when done
git merge feat/auth
git merge feat/billing
```

## Complementary Tools

| Tool | What It Does | When to Use |
|------|-------------|-------------|
| **dmux** | tmux pane management for agents | Parallel agent sessions |
| **Superset** | Terminal IDE for 10+ parallel agents | Large-scale orchestration |
| **Claude Code Task tool** | In-process subagent spawning | Programmatic parallelism within a session |
| **Codex multi-agent** | Built-in agent roles | Codex-specific parallel work |

## Troubleshooting

- **Pane not responding:** Check if the agent session is waiting for input. Use `m` to read output.
- **Merge conflicts:** Use git worktrees to isolate file changes per pane.
- **High token usage:** Reduce number of parallel panes. Each pane is a full agent session.
- **tmux not found:** Install with `brew install tmux` (macOS) or `apt install tmux` (Linux).

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