dmux Multi-Agent Workflows is a automation claude skill built by Affaan M. Best for: Development teams use dmux to parallelize independent coding tasks across multiple AI agent sessions, accelerating feature development through divide-and-conquer workflows..
- What it does
- Orchestrate parallel AI agent sessions using dmux for coordinated multi-agent development workflows.
- Category
- automation
- Created by
- Affaan M
- Last updated
dmux Multi-Agent Workflows
Orchestrate parallel AI agent sessions using dmux for coordinated multi-agent development workflows.
Skill instructions
name: dmux-workflows description: 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. origin: ECC
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
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
- Independent tasks only. Don't parallelize tasks that depend on each other's output.
- Clear boundaries. Each pane should work on distinct files or concerns.
- Merge strategically. Review pane output before merging to avoid conflicts.
- Use git worktrees. For file-conflict-prone work, use separate worktrees per pane.
- Resource awareness. Each pane uses API tokens — keep total panes under 5-6.
Git Worktree Integration
For tasks that touch overlapping files:
# Create worktrees for isolation
git worktree add -b feat/auth ../feature-auth HEAD
git worktree add -b feat/billing ../feature-billing HEAD
# 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 |
ECC Helper
ECC now includes a helper for external tmux-pane orchestration with separate git worktrees:
node scripts/orchestrate-worktrees.js plan.json --execute
Example plan.json:
{
"sessionName": "skill-audit",
"baseRef": "HEAD",
"launcherCommand": "codex exec --cwd {worktree_path} --task-file {task_file}",
"workers": [
{ "name": "docs-a", "task": "Fix skills 1-4 and write handoff notes." },
{ "name": "docs-b", "task": "Fix skills 5-8 and write handoff notes." }
]
}
The helper:
- Creates one branch-backed git worktree per worker
- Optionally overlays selected
seedPathsfrom the main checkout into each worker worktree - Writes per-worker
task.md,handoff.md, andstatus.mdfiles under.orchestration/<session>/ - Starts a tmux session with one pane per worker
- Launches each worker command in its own pane
- Leaves the main pane free for the orchestrator
Use seedPaths when workers need access to dirty or untracked local files that are not yet part of HEAD, such as local orchestration scripts, draft plans, or docs:
{
"sessionName": "workflow-e2e",
"seedPaths": [
"scripts/orchestrate-worktrees.js",
"scripts/lib/tmux-worktree-orchestrator.js",
".claude/plan/workflow-e2e-test.json"
],
"launcherCommand": "bash {repo_root}/scripts/orchestrate-codex-worker.sh {task_file} {handoff_file} {status_file}",
"workers": [
{ "name": "seed-check", "task": "Verify seeded files are present before starting work." }
]
}
Troubleshooting
- Pane not responding: Switch to the pane directly or inspect it with
tmux capture-pane -pt <session>:0.<pane-index>. - 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) orapt install tmux(Linux).
Use this skill
Most skills are portable instruction packages. Claude Code supports SKILL.md directly. Other agents can use adapted files like AGENTS.md, .cursorrules, and GEMINI.md.
Claude Code
Save SKILL.md into your Claude Skills folder, then restart Claude Code.
mkdir -p ~/.claude/skills/dmux-multi-agent-workflows-1 && curl -L "https://raw.githubusercontent.com/affaan-m/everything-claude-code/HEAD/skills/dmux-workflows/SKILL.md" -o ~/.claude/skills/dmux-multi-agent-workflows-1/SKILL.mdInstalls to ~/.claude/skills/dmux-multi-agent-workflows-1/SKILL.md.
Use cases
Development teams use dmux to parallelize independent coding tasks across multiple AI agent sessions, accelerating feature development through divide-and-conquer workflows.
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Creator
AAffaan M
@affaan-m