By labrinyang
AI agent team orchestration plugin: intelligently routes tasks to subagents or agent teams, composes teams from a role pool based on management theory, and self-evolves through session reflection
System design specialist that generates creative solutions, defines interfaces, and reviews architectural decisions. Belbin Plant role.
Team lead agent that coordinates work, assigns tasks, and synthesizes results. Use as team lead in delegate mode for all team patterns.
Hypothesis-driven debugging specialist that tests one theory at a time with evidence for and against. Belbin Shaper role.
Mandatory dissent agent that challenges assumptions, finds flaws in plans and findings, and ensures psychological safety by making disagreement structural. Belbin Monitor-Evaluator with adversarial mandate.
Quality completion specialist that handles edge cases, writes comprehensive tests, and ensures nothing is left incomplete. Belbin Completer-Finisher role.
Use when debugging with unclear root cause and multiple plausible explanations that need parallel adversarial testing to converge on the answer
Use when changes span frontend, backend, and tests where each layer needs a dedicated owner plus an integration agent for cross-cutting consistency
Use when building new modules or features where teammates can each own a separate piece without stepping on each other
Use when facing a task that could benefit from parallel work - decides whether to use subagents or agent teams, then composes the right team from the role pool based on task analysis
Use when multiple aspects of a problem need parallel investigation with findings shared and challenged between investigators
Uses power tools
Uses Bash, Write, or Edit tools
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AI agent team orchestration plugin for Claude Code. Intelligently routes tasks to subagents or agent teams, composes teams from a role pool grounded in management theory, and self-evolves through session reflection.
# 1. Add the marketplace
claude plugin marketplace add https://github.com/labrinyang/team-ochestractor
# 2. Install the plugin
claude plugin install team-orchestrator@team-orchestrator-marketplace
For local development:
claude --plugin-dir ./team-ochestractor
Enable agent teams (required for team patterns):
// settings.json
{
"env": {
"CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1"
}
}
| Skill | When to Use |
|---|---|
orchestrating-work | Core decision engine: subagent vs agent team routing |
research-and-review | Parallel investigation with adversarial challenge |
feature-development | Independent module development in parallel |
competing-hypotheses | Adversarial debugging with competing theories |
cross-layer-collaboration | Frontend + backend + test coordination |
session-reflection | End-of-session learning capture to .claude.md |
Organized by Belbin team role categories:
Thinking:
architect — System design, interface definition (Plant)reviewer — Critical evaluation, spec + quality review (Monitor-Evaluator)researcher — Deep investigation, evidence gathering (Specialist)Action:
implementer — Code building, follows contracts (Implementer)debugger — Hypothesis-driven root cause analysis (Shaper)finisher — Edge cases, tests, polish (Completer-Finisher)People:
coordinator — Team lead, task delegation, synthesis (Coordinator)integrator — Cross-module consistency (Teamworker)devil-advocate — Mandatory dissent, assumption challenging (Monitor-Evaluator + Safety)| Rule | Source |
|---|---|
| Validate Thinking/Action/People role coverage | Belbin Team Roles |
| Enforce stage gates (plan before implement) | Tuckman's Group Development |
| Verify 5 conditions before launch | Hackman's Team Effectiveness |
| Reduce scope when behind, never add agents | Brooks' Law |
| Team structure mirrors desired architecture | Conway's Law |
| Max 7 agents, default 3-4 | Two-Pizza Rule |
| Mandatory devil-advocate review | Psychological Safety |
| Persist retrospective learnings | Agile Retrospectives |
| Lead manages max 4 direct reports | Span of Control |
| Every agent has specialty + general context | T-Shaped Skills |
The plugin learns across sessions:
.claude.md with past lessonssession-reflection skill records new learnings~/.claude/CLAUDE.md when confirmed across projectsTask → Single focused? → Subagent
→ 2+ independent, no communication? → Parallel subagents
→ Need inter-agent communication? → Agent Team
→ Investigation + challenge → research-and-review
→ Independent modules → feature-development
→ Competing theories → competing-hypotheses
→ Frontend + backend + test → cross-layer-collaboration
Default: Start with subagents (cheaper). Escalate to teams only when communication adds genuine value.
MIT
npx claudepluginhub labrinyang/team-ochestractorClinical-grade Apple Health analysis: 21 statistical methods, 30 disease screenings, 59 papers cited, 35+ SVG charts, EN/ZH support.
Connect PM, Dev, and QA context in AI-native development. Shared Jira, Confluence, and Figma context across Claude Code sessions — for teams and solo developers working in multiple terminals.
Brainstorm → Plan → Execute: structured 3-phase development workflow with intelligent execution strategy selection
Multi-agent team orchestration for Claude Code. Set up parallel AI agent teams with file-based planning, progress tracking, and role-based collaboration.
Skill for deciding when and how to create agent teams - single agent vs parallel subagents vs coordinated teams, with model selection and communication patterns
AI Agent Team Operating System for Claude Code — persistent team management, meetings, task wall, company loop engine, and real-time dashboard
AI team role and worker manager for multi-agent development workflows.
The team-architecture factory for Claude Code — a meta-skill that turns a domain description into an agent team and the skills they use, with six pre-defined team-architecture patterns (Pipeline, Fan-out/Fan-in, Expert Pool, Producer-Reviewer, Supervisor, Hierarchical Delegation). Claude Code용 팀 아키텍처 팩토리: 도메인 한 문장을 에이전트 팀과 스킬 세트로 변환하는 메타 스킬.
Applies Team Science's 'Big Five of Teamwork' (Salas, Sims & Burke 2005) to Claude Code agent teams. Ships 3 agents + 4 skills that enforce shared mental models, closed-loop communication, mutual performance monitoring, calibrated trust, and after-action debriefs so collaborative tasks — code, research, writing, creative — run as a high-performing team.