dmux-workflows
OfficialMulti-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.
What this skill does
When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.
--- 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 `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:** 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 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
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{
"model": "gpt-4o-mini",
"skill": "imp-151b5ca3-4130-4782-bac3-678798f251c6",
"messages": [{ "role": "user", "content": "…" }]
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