Run coordinated multi-agent work in Claude Code for tasks where different parts must fit together, like building an API and a matching frontend at the same time.
Have a dedicated monitor agent automatically run builds and tests to cross-check what other agents produced, catching mismatches before you see them.
Use the shared mental model skill so all agents stay aligned on project goals without you having to repeat context to each one.
Requires Claude Code, installed via two slash commands with no additional infrastructure needed.
Team Big Five is a plugin for Claude Code (Anthropic's AI coding assistant) that structures how a group of AI agents collaborate on a task. The README is written in Korean, so this explanation is based on a translation. The project applies a framework from team science research, specifically the "Big Five" model of teamwork behavior published by Salas, Sims, and Burke in 2005, to teams of AI agents rather than human workers. The core idea is that when multiple AI agents work together, the bottleneck is not usually the intelligence of each individual agent but the quality of coordination between them. This plugin enforces explicit coordination protocols to improve that. It defines three agent roles: a team leader that sets goals and synthesizes results, contributors that do the actual work, and a performance monitor that cross-checks each agent's output against what the other agents produced. It also provides four skills (reusable procedures) that implement the coordination mechanisms: a shared mental model document that all agents read and update so they stay aligned, a closed-loop communication protocol where agents confirm they understood instructions, and a mutual monitoring process where the monitor agent actually runs builds or tests rather than just reading code. The plugin is designed to activate when you phrase a request in Claude Code using trigger words that signal you want team-based work. It then runs a triage step to decide whether the task actually benefits from multi-agent coordination. Simple or independent tasks get routed to a basic parallel approach instead, because the teamwork overhead would cost more than it saves. Full coordination is reserved for tasks with interdependent parts, such as designing an API and a front end that must fit together, or writing a research report where claims need to be verified against sources. The repository includes agent definition files, skill directories, and packaging files for the Claude Code plugin marketplace. It is installable with two Claude Code slash commands. A separate theory document explains the academic research behind the design choices.
← tobyilee on gitmyhub — every repo by this author, as a profile.
Verify against the repo before relying on details.