Coordinate multiple Claude Code teammates for parallel multi-session collaboration.
npx skills add https://github.com/haidonglethqb/CloudSchool --skill team-haidonglethqb
Please help me install this Agent Skill. Skill: team Source: https://github.com/haidonglethqb/CloudSchool/tree/main/.claude/skills/team Command: npx skills add https://github.com/haidonglethqb/CloudSchool --skill team-haidonglethqb
Orchestrate multiple Claude Code sessions as a single coordinated team, enabling independent teammates to work in parallel with their own contexts, while sharing a common task list and messaging channels.
Spawn an agent team for a feature, then let teammates report back via tasks and synthesize a final summary.
High-intent search queries and answers about installing and using this skill.
Parallel Claude Code sessions are coordinated by creating an agent team with a lead and multiple teammates. Teammates work independently with isolated contexts while sharing a common task list and messaging channels to achieve multi-session collaboration.
Event-driven coordination uses TaskCompleted and TeammateIdle hooks to monitor teammate progress. When a teammate finishes a task or becomes idle, these hooks trigger reactive coordination so the lead can assign new tasks or synthesize results automatically.
Yes, multiple Claude Code teammates can be spawned for parallel research, implementation, review, and debugging workflows. Each teammate gets isolated file ownership and clear handoffs to manage independent work without conflicts.
Task dependencies across agent teammates are managed through a shared task list. The lead assigns tasks, monitors progress via event hooks, and synthesizes final results once teammates report back, ensuring structured handoffs before executing a clean shutdown.
Agent teams are shut down by executing a clean cleanup process after work completes. This involves synthesizing the final summary, triggering the shutdown command, and using TeamDelete to safely remove the team and its cross-session memory.
Multi-session agent teams are ideal for complex tasks requiring parallel execution, such as simultaneous research and implementation. If a task needs independent contexts with isolated file ownership and clear handoffs, team coordination outperforms a single session.
hidonguyenCoordinates multiple Claude Code agent sessions for parallel research, implementation, review, and debugging.
MinhHoangDonoOrchestrate parallel multi-session agent collaboration with shared task coordination and summary reports.
serejarisCoordinate multiple autonomous agents with shared task lists and direct messaging.
SteelMorganGenerate a JSON task breakdown with dependencies and self-checks for linear execution.
