claude-cracks-the-whip

To dispatch parallel coding tasks to multiple AI agents, this skill uses a roll-call based assignment system to delegate implementation work to agents like Codex, Gemini, or Kimi, coordinating their execution via tmux panes or MCP for centralized visibility.

The best way to monitor AI coding agents on parallel projects is through tmux panes for visual visibility or MCP for conversational control. This boss-like workflow tracks execution using work logs and completion signals to ensure accountability.

Yes, you can use tmux to coordinate multiple AI coding agents. The skill leverages tmux panes to provide real-time visibility into parallel task execution, allowing you to monitor dispatched work and review deliverables centrally.

To ensure quality inspection when AI agents complete coding tasks, the workflow enforces a post-delivery review phase. It audits generated work logs and completion signals before final shipment to verify that all deliverables meet project standards.

You do not need MCP to manage an AI agent coding workflow. You can use tmux panes for visual visibility instead of MCP for conversational control, depending on your preferred method for monitoring parallel tasks and coordinating agent deliverables.