
Dmux Workflows
If you're juggling multiple AI agent sessions at once, this gives you tmux-based orchestration patterns for running agents in parallel panes. Press 'n' to spawn a new pane with a prompt, 'm' to merge results back. Works across Claude Code, Codex, OpenCode, and others. The workflow patterns are practical: research in one pane while implementing in another, split a feature across independent files, or run different review perspectives simultaneously. The ECC helper script can spin up git worktrees per worker to avoid merge conflicts. Just remember each pane burns its own API tokens, so keep it under five or six concurrent sessions.
- skills.sh installs
- 4.5K
- GitHub stars
- 229.1K
- last updated
- Jul 14, 2026
Install
$ npx -y skills add affaan-m/everything-claude-code --skill dmux-workflows --agent claude-codeInstalls into .claude/skills of the current project.
Files
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
nto create a new pane with a prompt - Press
mto merge pane output back to the main session - Supports: Claude Code, Codex, OpenCode, Cline, Gemini, Qwen
Install: Install dmux from its repository after reviewing the package. See github.com/standardagents/dmux
Quick Start
# 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
Sponsors
Details
- Repository
- github.com/affaan-m/everything-claude-code
- First seen
- Apr 16, 2026
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