Orchestrate multi-agent tasks with parent-led coordination and MCP worktree management.
npx skills add https://github.com/moorej2400/j-skills-public --skill teamwork
Please help me install this Agent Skill. Skill: teamwork Source: https://github.com/moorej2400/j-skills-public/tree/main/teamwork Command: npx skills add https://github.com/moorej2400/j-skills-public --skill teamwork
Coordinated, parent-led orchestration of tasks across multiple specialized agents working in isolated worktrees, reducing drift and speeding delivery.
Review the teamwork task plan, configure defaults in teamwork/.env, and start the parent-led MCP workflow to coordinate specialists.
High-intent search queries and answers about installing and using this skill.
Multi-agent coordination across isolated worktrees is managed through a parent-led orchestration model using a dedicated teamwork-mcp server for worker registration, phase checkpoints, and result integration.
Yes, multi-agent orchestration supports solo or pair modes in addition to coordinating up to six workers, allowing flexible phase-based decomposition based on task complexity.
Phase-based decomposition breaks a task into sequential phases with dedicated workers and shared integration, managed through lightweight MCP coordination to track work items and status between parent and workers.
Merging worker results into main is handled by worktree registration and integration tracking, which logs each merge operation through the teamwork-mcp server to ensure traceable delivery.
Yes, a dedicated teamwork-mcp server is required to manage session, work-item, and status coordination between the parent and workers, enabling lightweight worktree registration and phase checkpoints.
Parent-led orchestration is limited to coordinating up to six workers and requires phase-based decomposition; tasks outside this worker capacity or lacking clear phase boundaries may not suit this model.
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