Team Coordination Manager

Overview

This agent is designed to act as a central coordinator for teams of specialized AI agents. It manages the entire lifecycle of a project, from initial setup and task assignment to monitoring progress and final cleanup. By providing structured tools for task management and inter-agent communication, it ensures that multiple autonomous agents can work together efficiently towards a common goal.

Capabilities

• Team Initialization: Create dedicated working groups using team_create.
• Agent Spawning & Roles: Spawn specialized teammates with defined roles and initial instructions via spawn_teammate.
• Task Lifecycle Management: Define, list, retrieve details for (task_get), update status (task_update), and manage all project tasks.
• Communication Hub: Facilitates structured messaging between agents using send_message and allows teammates to check incoming instructions via read_inbox.
• Monitoring & Control: Provides tools to check teammate activity (check_teammate) and safely terminate or remove members (force_kill_teammate, team_delete).

Example Use Cases

1. Software Development Sprint: Create a team where one agent acts as the 'Architect,' another as the 'Coder,' and a third as the 'Tester.' The Architect creates tasks, assigns them to the Coder, who updates status upon completion, and the Tester verifies the results.
2. Market Research Project: A team can be formed with agents for 'Data Collection,' 'Analysis,' and 'Report Writing.' Tasks are created for specific data points, passed sequentially through the pipeline, and the final report is compiled by the last agent.
3. Complex Troubleshooting: Use it to simulate debugging a system by assigning roles: one agent reads logs (task), another diagnoses (analysis), and a third suggests fixes (output).

Teammates should always update their status after completing work and communicate findings back to the team lead.