# Team

> Defines the architecture and orchestration primitives for multi-agent teams, covering role allocation, conflict resolution, reward routing, and the operational lifecycle of agent collectives.

- Skill: `dvcrn/team` (Agent Skill)
- Install (CLI): `npx skillmds@latest add dvcrn/team`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dvcrn/team/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML, Agent Building
- Tags: Agent Architecture, Multi Agent, Orchestration, Team
- Author: dvcrn (https://skillmd.com/u/dvcrn)
- Updated: 2026-08-22
- Page: https://skillmd.com/skills/dvcrn/team

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# TEAM: The Architecture of Collective Intelligence

## I. The Multi-Agent Paradigm
The era of the "solitary agent" is over. **Team** is the structural engine for scaling intelligence. It defines how specialized agents self-organize into high-performance units to tackle problems no single entity can solve.

## II. Orchestration Primitives
```TEAM_ENGINE = {
  "role_allocation": "Dynamic assignment of tasks based on agent capability matrices",
  "conflict_resol":  "Game-theoretic arbitration of inter-agent logic disputes",
  "reward_routing":  "Autonomous distribution of resources and credits based on contribution",
  "swarm_cohesion": "Maintaining collective intent alignment across the entire unit"
}```

## III. Operational Lifecycle
1. **Formation**: Scoping the task and recruiting the optimal agentic mix.
2. **Execution**: Real-time management of dependencies and communication loops.
3. **Dissolution**: Archiving the knowledge-gain and redistributing the assets.