What problem does it solve?
This Skill helps you coordinate multiple AI agent sessions at once so you can split large tasks into smaller parallel tracks instead of handling everything in a single chat.
Core Features & Use Cases
- Parallel orchestration: Launch separate agent panes for research, implementation, testing, and review.
- Cross-harness workflows: Coordinate sessions across Claude Code, Codex, OpenCode, Cline, Gemini, and Qwen.
- Safe merging patterns: Use clear task boundaries and merge results back into a unified workflow after each pane finishes.
- Use case: When a feature spans several files or needs independent review passes, you can assign each part to a different agent and combine the outputs efficiently.
Quick Start
Use the dmux-workflows skill to split my task into parallel agent panes, assign each pane an independent subtask, and merge the results into one coordinated plan.