Agent Teams

SkillAI & models

A skill for ai & models by thelobbi.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Agent Teams skill

What this skill tells your AI

The instructions your AI receives, as published by thelobbi/claude in plugins/claude-code-expert/skills-old/agent-teams/SKILL.md and read by ahel’s review.

Orchestrate teams of Claude Code sessions working together with shared tasks, inter-agent messaging, and centralized management. Experimental feature — requires CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS environment variable. Requires Claude Code v2.1.32+.

Overview

Agent teams let you coordinate multiple Claude Code instances working together. One session acts as the team lead, coordinating work, assigning tasks, and synthesizing results. Teammates work independently, each in its own context window, and communicate directly with each other.

Unlike subagents (which run within a single session and only report back), you can interact with individual teammates directly without going through the lead.

When to Use Agent Teams

Best use cases:

  • Research and review: multiple teammates investigate different aspects simultaneously, share and challenge findings
  • New modules or features: teammates each own a separate piece without stepping on each other
  • Debugging with competing hypotheses: test different theories in parallel, converge faster
  • Cross-layer coordination: changes spanning frontend, backend, and tests, each owned by different teammate

When NOT to use: Sequential tasks, same-file edits, or work with many dependencies → use single session or subagents.

Subagents vs Agent Teams

SubagentsAgent Teams
ContextOwn window; results return to callerOwn window; fully independent
CommunicationReport back to main agent onlyMessage each other directly
CoordinationMain agent manages all workShared task list with self-coordination
Best forFocused tasks where only result mattersComplex work requiring discussion
Token costLower: results summarized backHigher: each is a separate Claude instance

Enable Agent Teams

// settings.json
{
  "env": {
    "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1"
  }
}

Starting a Team

Describe the task and team structure in natural language:

I'm designing a CLI tool that helps developers track TODO comments.
Create an agent team: one on UX, one on technical architecture, one as devil's advocate.

Claude creates the team, spawns teammates, coordinates work, and cleans up when finished.

Display Modes

ModeDescriptionSetup
In-processAll teammates in main terminal. Shift+Down to cycle.Works anywhere
Split panesEach teammate gets own pane. Click to interact.Requires tmux or iTerm2
Auto (default)Split panes if in tmux, in-process otherwise

Configure in settings.json:

{ "teammateMode": "in-process" }

Or per-session:

claude --teammate-mode in-process

Controlling Teams

Specify Teammates and Models

Create a team with 4 teammates to refactor these modules in parallel.
Use Sonnet for each teammate.

Require Plan Approval

Spawn an architect teammate to refactor the auth module.
Require plan approval before they make any changes.

Teammate works in read-only plan mode until lead approves. Lead reviews and approves/rejects autonomously — influence with criteria like "only approve plans that include test coverage."

Talk to Teammates Directly

  • In-process: Shift+Down to cycle, type to message. Enter to view session, Esc to interrupt. Ctrl+T for task list.
  • Split panes: Click into pane to interact.

Task Management

Shared task list coordinates work. Tasks have states: pending → in progress → completed. Tasks support dependencies.

  • Lead assigns: Tell lead which task for which teammate
  • Self-claim: Teammate picks up next unassigned, unblocked task automatically

Task claiming uses file locking to prevent race conditions.

Shutdown

Ask the researcher teammate to shut down

Then clean up:

Clean up the team

Always use the lead to clean up (not teammates).

Quality Gates with Hooks

HookWhen it runsExit code 2 behavior
TeammateIdleTeammate about to go idleSend feedback, keep working
TaskCreatedTask being createdPrevent creation with feedback
TaskCompletedTask being marked completePrevent completion with feedback

Architecture

ComponentRole
Team leadMain session that creates team, spawns teammates, coordinates
TeammatesSeparate Claude Code instances working on assigned tasks
Task listShared work items that teammates claim and complete
MailboxMessaging system for inter-agent communication

Storage:

  • Team config: ~/.claude/teams/{team-name}/config.json
  • Task list: ~/.claude/tasks/{team-name}/

Permissions

Teammates inherit lead's permission settings. Can change individual modes after spawning.

Context and Communication

  • Each teammate has own context window, loads same project context (CLAUDE.md, MCP, skills)
  • Lead's conversation history does NOT carry over
  • Messages delivered automatically between teammates
  • Idle notifications sent automatically to lead
  • Shared task list visible to all agents

Git Integration

Each teammate gets its own git worktree (isolated branch). On completion, changes merge back. If conflicts occur:

  • Fast-forward merges when possible
  • Lead resolves conflicts when they arise
  • Teammates can also resolve conflicts themselves

Best Practices

  1. Define clear boundaries: Give each teammate a distinct area (frontend, backend, tests)
  2. Start small: 2-3 teammates before scaling up
  3. Use plan approval for risky tasks: Require review before implementation
  4. Set quality criteria: Tell the lead what "done" means
  5. Monitor token usage: Each teammate is a full Claude instance

Use Case Examples

Feature Development

Create a team to implement user authentication:
- Backend teammate: API routes, middleware, JWT handling
- Frontend teammate: login form, token storage, protected routes
- Test teammate: integration tests for the full auth flow

Code Review

Create a review team for PR #456:
- Security reviewer: check for vulnerabilities
- Performance reviewer: identify bottlenecks
- Architecture reviewer: evaluate design decisions
Have them discuss findings and produce a unified review.

Debugging

The /api/orders endpoint is returning 500 errors intermittently.
Create a debugging team:
- One teammate investigates the database layer
- One teammate traces the request handling pipeline
- One teammate analyzes recent deployments and config changes

Limitations

  • Session resumption: Resumed sessions may not fully restore team state
  • Task coordination: Complex task dependency graphs can cause deadlocks
  • Shutdown: Teammates may not always shut down cleanly; always clean up via lead
  • Token cost: Significantly more expensive than single sessions or subagents
  • No cross-machine: All teammates run on the same machine

See Also

Signals

GitHub stars
21
Forks
2
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
agent-teams-thelobbi
Source
github.com/thelobbi/claude