What problem does it solve?
This Skill eliminates the manual overhead of coordinating multiple parallel AI agent sessions across different development tools, reducing context switching and speeding up complex development workflows that would take much longer to complete sequentially.
Core Features & Use Cases
- Cross-Harness Agent Orchestration: Run parallel agent sessions across Claude Code, Codex, OpenCode, Cline, Gemini, and Qwen in isolated tmux panes.
- Pre-Built Workflow Patterns: Includes ready-to-use patterns for common multi-agent tasks like research + implementation, multi-file feature development, test-fix loops, and parallel code review.
- Conflict Avoidance: Integrates with git worktrees to isolate file changes between parallel agents, eliminating merge conflicts.
- Use Case: For a complex e-commerce checkout feature, you can run parallel agents to implement the payment processing logic, build the UI components, and write end-to-end tests simultaneously, then merge all results into your main codebase.
Quick Start
Use the dmux-workflows skill to split your new user authentication feature into parallel agent sessions for security research, middleware implementation, and unit test writing, then merge the completed work into your main branch.