team

Original：🇺🇸 English

Translated

N coordinated agents on shared task list using Claude Code native teams

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Sourceyeachan-heo/oh-my-claudecode

Added on2026-02-08

NPX Install

npx skill4agent add yeachan-heo/oh-my-claudecode team

SKILL.md Content

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Team Skill

Spawn N coordinated agents working on a shared task list using Claude Code's native team tools. Replaces the legacy

/swarm

skill (SQLite-based) with built-in team management, inter-agent messaging, and task dependencies -- no external dependencies required.

Usage

/oh-my-claudecode:team N:agent-type "task description"
/oh-my-claudecode:team "task description"
/oh-my-claudecode:team ralph "task description"

Parameters

N - Number of teammate agents (1-20). Optional; defaults to auto-sizing based on task decomposition.
agent-type - OMC agent to spawn for the
```
team-exec
```
stage (e.g., executor, build-fixer, designer). Optional; defaults to stage-aware routing (see Stage Agent Routing below).
task - High-level task to decompose and distribute among teammates
ralph - Optional modifier. When present, wraps the team pipeline in Ralph's persistence loop (retry on failure, architect verification before completion). See Team + Ralph Composition below.

Examples

bash

/team 5:executor "fix all TypeScript errors across the project"
/team 3:build-fixer "fix build errors in src/"
/team 4:designer "implement responsive layouts for all page components"
/team "refactor the auth module with security review"
/team ralph "build a complete REST API for user management"

Architecture

User: "/team 3:executor fix all TypeScript errors"
              |
              v
      [TEAM ORCHESTRATOR (Lead)]
              |
              +-- TeamCreate("fix-ts-errors")
              |       -> lead becomes team-lead@fix-ts-errors
              |
              +-- Analyze & decompose task into subtasks
              |       -> explore/architect produces subtask list
              |
              +-- TaskCreate x N (one per subtask)
              |       -> tasks #1, #2, #3 with dependencies
              |
              +-- TaskUpdate x N (pre-assign owners)
              |       -> task #1 owner=worker-1, etc.
              |
              +-- Task(team_name="fix-ts-errors", name="worker-1") x 3
              |       -> spawns teammates into the team
              |
              +-- Monitor loop
              |       <- SendMessage from teammates (auto-delivered)
              |       -> TaskList polling for progress
              |       -> SendMessage to unblock/coordinate
              |
              +-- Completion
                      -> SendMessage(shutdown_request) to each teammate
                      <- SendMessage(shutdown_response, approve: true)
                      -> TeamDelete("fix-ts-errors")
                      -> rm .omc/state/team-state.json

Storage layout (managed by Claude Code):

~/.claude/
  teams/fix-ts-errors/
    config.json          # Team metadata + members array
  tasks/fix-ts-errors/
    .lock                # File lock for concurrent access
    1.json               # Subtask #1
    2.json               # Subtask #2 (may be internal)
    3.json               # Subtask #3
    ...

Staged Pipeline (Canonical Team Runtime)

Team execution follows a staged pipeline:

team-plan -> team-prd -> team-exec -> team-verify -> team-fix (loop)

Stage Agent Routing

Each pipeline stage uses specialized agents -- not just executors. The lead selects agents based on the stage and task characteristics.

Stage	Required Agents	Optional Agents	Selection Criteria
team-plan	`explore` (haiku), `planner` (opus)	`analyst` (opus), `architect` (opus)	Use `analyst` for unclear requirements. Use `architect` for systems with complex boundaries.
team-prd	`analyst` (opus)	`product-manager` (sonnet), `critic` (opus)	Use `product-manager` for user-facing features. Use `critic` to challenge scope.
team-exec	`executor` (sonnet)	`deep-executor` (opus), `build-fixer` (sonnet), `designer` (sonnet), `writer` (haiku), `test-engineer` (sonnet)	Match agent to subtask type. Use `deep-executor` for complex autonomous work, `designer` for UI, `build-fixer` for compilation issues, `writer` for docs, `test-engineer` for test creation.
team-verify	`verifier` (sonnet)	`test-engineer` (sonnet), `security-reviewer` (sonnet), `code-reviewer` (opus), `quality-reviewer` (sonnet), `performance-reviewer` (sonnet)	Always run `verifier` . Add `security-reviewer` for auth/crypto changes. Add `code-reviewer` for >20 files or architectural changes. Add `performance-reviewer` for latency-sensitive code.
team-fix	`executor` (sonnet)	`build-fixer` (sonnet), `debugger` (sonnet), `deep-executor` (opus)	Use `build-fixer` for type/build errors. Use `debugger` for regression isolation. Use `deep-executor` for complex multi-file fixes.

Routing rules:

The lead picks agents per stage, not the user. The user's
```
N:agent-type
```
parameter only overrides the
```
team-exec
```
stage worker type. All other stages use stage-appropriate specialists.
MCP providers complement Claude agents. Route analysis/review to Codex (
```
ask_codex
```
) and UI/large-context work to Gemini (
```
ask_gemini
```
) when available. MCP workers are one-shot and don't participate in team communication.
Cost mode affects model tier. In ecomode, downgrade:
```
opus
```
agents to
```
sonnet
```
,
```
sonnet
```
to
```
haiku
```
where quality permits.
```
team-verify
```
always uses at least
```
sonnet
```
.
Risk level escalates review. Security-sensitive or >20 file changes must include
```
security-reviewer
```
+
```
code-reviewer
```
(opus) in
```
team-verify
```
.

Stage Entry/Exit Criteria

team-plan
- Entry: Team invocation is parsed and orchestration starts.
- Agents:
```
explore
```
  scans codebase,
```
planner
```
  creates task graph, optionally
```
analyst
```
  /
```
architect
```
  for complex tasks.
- Exit: decomposition is complete and a runnable task graph is prepared.
team-prd
- Entry: scope is ambiguous or acceptance criteria are missing.
- Agents:
```
analyst
```
  extracts requirements, optionally
```
product-manager
```
  /
```
critic
```
  .
- Exit: acceptance criteria and boundaries are explicit.
team-exec
- Entry:
```
TeamCreate
```
  ,
```
TaskCreate
```
  , assignment, and worker spawn are complete.
- Agents: workers spawned as the appropriate specialist type per subtask (see routing table).
- Exit: execution tasks reach terminal state for the current pass.
team-verify
- Entry: execution pass finishes.
- Agents:
```
verifier
```
  + task-appropriate reviewers (see routing table).
- Exit (pass): verification gates pass with no required follow-up.
- Exit (fail): fix tasks are generated and control moves to
```
team-fix
```
  .
team-fix
- Entry: verification found defects/regressions/incomplete criteria.
- Agents:
```
executor
```
  /
```
build-fixer
```
  /
```
debugger
```
  depending on defect type.
- Exit: fixes are complete and flow returns to
```
team-exec
```
  then
```
team-verify
```
  .

Verify/Fix Loop and Stop Conditions

Continue

team-exec -> team-verify -> team-fix

until:

verification passes and no required fix tasks remain, or
work reaches an explicit terminal blocked/failed outcome with evidence.

team-fix

is bounded by max attempts. If fix attempts exceed the configured limit, transition to terminal

failed

(no infinite loop).

Resume and Cancel Semantics

Resume: restart from the last non-terminal stage using staged state + live task status.
Cancel:
```
/oh-my-claudecode:cancel
```
requests teammate shutdown, waits for responses (best effort), marks phase
```
cancelled
```
with
```
active=false
```
, captures cancellation metadata, then deletes team resources and clears/preserves Team state per policy.
Terminal states are
```
complete
```
,
```
failed
```
, and
```
cancelled
```
.

Workflow

Phase 1: Parse Input

Extract N (agent count), validate 1-20
Extract agent-type, validate it maps to a known OMC subagent
Extract task description

Phase 2: Analyze & Decompose

Use

explore

architect

(via MCP or agent) to analyze the codebase and break the task into N subtasks:

Each subtask should be file-scoped or module-scoped to avoid conflicts
Subtasks must be independent or have clear dependency ordering
Each subtask needs a concise
```
subject
```
and detailed
```
description
```
Identify dependencies between subtasks (e.g., "shared types must be fixed before consumers")

Phase 3: Create Team

Call

TeamCreate

with a slug derived from the task:

json

{
  "team_name": "fix-ts-errors",
  "description": "Fix all TypeScript errors across the project"
}

Response:

json

{
  "team_name": "fix-ts-errors",
  "team_file_path": "~/.claude/teams/fix-ts-errors/config.json",
  "lead_agent_id": "team-lead@fix-ts-errors"
}

The current session becomes the team lead (

team-lead@fix-ts-errors

Write OMC state using the

state_write

MCP tool for proper session-scoped persistence:

state_write(mode="team", active=true, current_phase="team-plan", state={
  "team_name": "fix-ts-errors",
  "agent_count": 3,
  "agent_types": "executor",
  "task": "fix all TypeScript errors",
  "fix_loop_count": 0,
  "max_fix_loops": 3,
  "linked_ralph": false,
  "stage_history": "team-plan"
})

Note: The MCP
state_write
tool transports all values as strings. Consumers must coerce
agent_count
,
fix_loop_count
,
max_fix_loops
to numbers and
linked_ralph
to boolean when reading state.

State schema fields:

Field	Type	Description
`active`	boolean	Whether team mode is active
`current_phase`	string	Current pipeline stage: `team-plan` , `team-prd` , `team-exec` , `team-verify` , `team-fix`
`team_name`	string	Slug name for the team
`agent_count`	number	Number of worker agents
`agent_types`	string	Comma-separated agent types used in team-exec
`task`	string	Original task description
`fix_loop_count`	number	Current fix iteration count
`max_fix_loops`	number	Maximum fix iterations before failing (default: 3)
`linked_ralph`	boolean	Whether team is linked to a ralph persistence loop
`stage_history`	string	Comma-separated list of stage transitions with timestamps

Update state on every stage transition:

state_write(mode="team", current_phase="team-exec", state={
  "stage_history": "team-plan:2026-02-07T12:00:00Z,team-prd:2026-02-07T12:01:00Z,team-exec:2026-02-07T12:02:00Z"
})

Read state for resume detection:

state_read(mode="team")

active=true

and

current_phase

is non-terminal, resume from the last incomplete stage instead of creating a new team.

Phase 4: Create Tasks

Call

TaskCreate

for each subtask. Set dependencies with

TaskUpdate

using

addBlockedBy

json

// TaskCreate for subtask 1
{
  "subject": "Fix type errors in src/auth/",
  "description": "Fix all TypeScript errors in src/auth/login.ts, src/auth/session.ts, and src/auth/types.ts. Run tsc --noEmit to verify.",
  "activeForm": "Fixing auth type errors"
}

Response stores a task file (e.g.
1.json
):

json

{
  "id": "1",
  "subject": "Fix type errors in src/auth/",
  "description": "Fix all TypeScript errors in src/auth/login.ts...",
  "activeForm": "Fixing auth type errors",
  "owner": "",
  "status": "pending",
  "blocks": [],
  "blockedBy": []
}

For tasks with dependencies, use

TaskUpdate

after creation:

json

// Task #3 depends on task #1 (shared types must be fixed first)
{
  "taskId": "3",
  "addBlockedBy": ["1"]
}

Pre-assign owners from the lead to avoid race conditions (there is no atomic claiming):

json

// Assign task #1 to worker-1
{
  "taskId": "1",
  "owner": "worker-1"
}

Phase 5: Spawn Teammates

Spawn N teammates using

Task

with

team_name

and

name

parameters. Each teammate gets the team worker preamble (see below) plus their specific assignment.

json

{
  "subagent_type": "oh-my-claudecode:executor",
  "team_name": "fix-ts-errors",
  "name": "worker-1",
  "prompt": "<worker-preamble + assigned tasks>"
}

Response:

json

{
  "agent_id": "worker-1@fix-ts-errors",
  "name": "worker-1",
  "team_name": "fix-ts-errors"
}

Side effects:

Teammate added to
```
config.json
```
members array
An internal task is auto-created (with
```
metadata._internal: true
```
) tracking the agent lifecycle
Internal tasks appear in
```
TaskList
```
output -- filter them when counting real tasks

IMPORTANT: Spawn all teammates in parallel (they are background agents). Do NOT wait for one to finish before spawning the next.

Phase 6: Monitor

The lead orchestrator monitors progress through two channels:

Inbound messages -- Teammates send
```
SendMessage
```
to
```
team-lead
```
when they complete tasks or need help. These arrive automatically as new conversation turns (no polling needed).

TaskList polling -- Periodically call

TaskList

to check overall progress:

#1 [completed] Fix type errors in src/auth/ (worker-1)
#3 [in_progress] Fix type errors in src/api/ (worker-2)
#5 [pending] Fix type errors in src/utils/ (worker-3)

Format:

#ID [status] subject (owner)

Coordination actions the lead can take:

Unblock a teammate: Send a
```
message
```
with guidance or missing context
Reassign work: If a teammate finishes early, use
```
TaskUpdate
```
to assign pending tasks to them and notify via
```
SendMessage
```
Handle failures: If a teammate reports failure, reassign the task or spawn a replacement

Task Watchdog Policy

Monitor for stuck or failed teammates:

Max in-progress age: If a task stays
```
in_progress
```
for more than 5 minutes without messages, send a status check
Suspected dead worker: No messages + stuck task for 10+ minutes → reassign task to another worker
Reassign threshold: If a worker fails 2+ tasks, stop assigning new tasks to it

Phase 6.5: Stage Transitions (State Persistence)

On every stage transition, update OMC state:

// Entering team-exec after planning
state_write(mode="team", current_phase="team-exec", state={
  "stage_history": "team-plan:T1,team-prd:T2,team-exec:T3"
})

// Entering team-verify after execution
state_write(mode="team", current_phase="team-verify")

// Entering team-fix after verify failure
state_write(mode="team", current_phase="team-fix", state={
  "fix_loop_count": 1
})

This enables:

Resume: If the lead crashes,
```
state_read(mode="team")
```
reveals the last stage and team name for recovery
Cancel: The cancel skill reads
```
current_phase
```
to know what cleanup is needed
Ralph integration: Ralph can read team state to know if the pipeline completed or failed

Phase 7: Completion

When all real tasks (non-internal) are completed or failed:

Verify results -- Check that all subtasks are marked
```
completed
```
via
```
TaskList
```

Shutdown teammates -- Send

shutdown_request

to each active teammate:

json

{
  "type": "shutdown_request",
  "recipient": "worker-1",
  "content": "All work complete, shutting down team"
}

Await responses -- Each teammate responds with
```
shutdown_response(approve: true)
```
and terminates

Delete team -- Call

TeamDelete

to clean up:

json

{ "team_name": "fix-ts-errors" }

Response:

json

{
  "success": true,
  "message": "Cleaned up directories and worktrees for team \"fix-ts-errors\"",
  "team_name": "fix-ts-errors"
}

Clean OMC state -- Remove
```
.omc/state/team-state.json
```
Report summary -- Present results to the user

Agent Preamble

When spawning teammates, include this preamble in the prompt to establish the work protocol. Adapt it per teammate with their specific task assignments.

You are a TEAM WORKER in team "{team_name}". Your name is "{worker_name}".
You report to the team lead ("team-lead").

== WORK PROTOCOL ==

1. CLAIM: Call TaskList to see your assigned tasks (owner = "{worker_name}").
   Pick the first task with status "pending" that is assigned to you.
   Call TaskUpdate to set status "in_progress":
   {"taskId": "ID", "status": "in_progress", "owner": "{worker_name}"}

2. WORK: Execute the task using your tools (Read, Write, Edit, Bash).
   Do NOT spawn sub-agents. Do NOT delegate. Work directly.

3. COMPLETE: When done, mark the task completed:
   {"taskId": "ID", "status": "completed"}

4. REPORT: Notify the lead via SendMessage:
   {"type": "message", "recipient": "team-lead", "content": "Completed task #ID: <summary of what was done>", "summary": "Task #ID complete"}

5. NEXT: Check TaskList for more assigned tasks. If you have more pending tasks, go to step 1.
   If no more tasks are assigned to you, notify the lead:
   {"type": "message", "recipient": "team-lead", "content": "All assigned tasks complete. Standing by.", "summary": "All tasks done, standing by"}

6. SHUTDOWN: When you receive a shutdown_request, respond with:
   {"type": "shutdown_response", "request_id": "<from the request>", "approve": true}

== BLOCKED TASKS ==
If a task has blockedBy dependencies, skip it until those tasks are completed.
Check TaskList periodically to see if blockers have been resolved.

== ERRORS ==
If you cannot complete a task, report the failure to the lead:
{"type": "message", "recipient": "team-lead", "content": "FAILED task #ID: <reason>", "summary": "Task #ID failed"}
Do NOT mark the task as completed. Leave it in_progress so the lead can reassign.

== RULES ==
- NEVER spawn sub-agents or use the Task tool
- ALWAYS use absolute file paths
- ALWAYS report progress via SendMessage to "team-lead"
- Use SendMessage with type "message" only -- never "broadcast"

Communication Patterns

Teammate to Lead (task completion report)

json

{
  "type": "message",
  "recipient": "team-lead",
  "content": "Completed task #1: Fixed 3 type errors in src/auth/login.ts and 2 in src/auth/session.ts. All files pass tsc --noEmit.",
  "summary": "Task #1 complete"
}

Lead to Teammate (reassignment or guidance)

json

{
  "type": "message",
  "recipient": "worker-2",
  "content": "Task #3 is now unblocked. Also pick up task #5 which was originally assigned to worker-1.",
  "summary": "New task assignment"
}

Broadcast (use sparingly -- sends N separate messages)

json

{
  "type": "broadcast",
  "content": "STOP: shared types in src/types/index.ts have changed. Pull latest before continuing.",
  "summary": "Shared types changed"
}

Shutdown Protocol

Lead sends:

json

{
  "type": "shutdown_request",
  "recipient": "worker-1",
  "content": "All work complete, shutting down team"
}

Teammate receives and responds:

json

{
  "type": "shutdown_response",
  "request_id": "shutdown-1770428632375@worker-1",
  "approve": true
}

After approval:

Teammate process terminates
Teammate auto-removed from
```
config.json
```
members array
Internal task for that teammate completes

IMPORTANT: The

request_id

is provided in the shutdown request message that the teammate receives. The teammate must extract it and pass it back. Do NOT fabricate request IDs.

MCP Workers (Hybrid Roles)

The team skill supports hybrid execution combining Claude agent teammates with external MCP workers (Codex and Gemini CLIs). Both types can make code changes -- they differ in capabilities and cost.

Execution Modes

Tasks are tagged with an execution mode during decomposition:

Execution Mode	Provider	Capabilities
`claude_worker`	Claude agent	Full Claude Code tool access (Read/Write/Edit/Bash/Task). Best for tasks needing Claude's reasoning + iterative tool use.
`mcp_codex`	Codex CLI ( `ask_codex` )	Full filesystem access in working_directory. Runs autonomously. Best for code review, security analysis, refactoring, architecture.
`mcp_gemini`	Gemini CLI ( `ask_gemini` )	Full filesystem access + 1M token context. Runs autonomously. Best for UI/frontend work, large-scale changes, documentation.

How MCP Workers Operate

Codex and Gemini CLIs run in full-auto mode with filesystem access. They are autonomous executors, not just analysts:

Lead writes task instructions to a
```
prompt_file
```
Lead calls
```
ask_codex
```
or
```
ask_gemini
```
with
```
working_directory
```
set to the project root
The CLI reads files, makes changes, runs commands -- all within the working directory
Results/summary are written to
```
output_file
```
Lead reads the output, marks the task complete, and feeds results to dependent tasks

Key difference from Claude teammates:

MCP workers operate via CLI, not Claude Code's tool system
They cannot use TaskList/TaskUpdate/SendMessage (no team awareness)
They run as one-shot autonomous jobs, not persistent teammates
The lead manages their lifecycle (spawn, monitor, collect results)

When to Route Where

Task Type	Best Route	Why
Iterative multi-step work	Claude teammate	Needs tool-mediated iteration + team communication
Code review / security audit	Codex MCP	Specialized, cheaper than Claude opus
Architecture analysis / planning	Codex MCP	External perspective, strong analytical reasoning
Refactoring (well-scoped)	Codex MCP	Autonomous execution, good at structured transforms
UI/frontend implementation	Gemini MCP	1M context window, design expertise, can edit many files
Large-scale documentation	Gemini MCP	Writing expertise + large context for consistency
Visual/image analysis	Gemini MCP	Multimodal capability
Build/test iteration loops	Claude teammate	Needs Bash tool + iterative fix cycles
Tasks needing team coordination	Claude teammate	Needs SendMessage for status updates

Example: Hybrid Team with MCP Executors

/team 3:executor "refactor auth module with security review"

Task decomposition:
#1 [mcp_codex] Security review of current auth code -> output to .omc/research/auth-security.md
#2 [mcp_codex] Refactor auth/login.ts and auth/session.ts (uses #1 findings)
#3 [mcp_gemini] Redesign auth UI components (login form, session indicator)
#4 [claude_worker] Update auth tests + fix integration issues
#5 [mcp_codex] Final code review of all changes

The lead runs #1 (Codex analysis), then #2 and #3 in parallel (Codex refactors backend, Gemini redesigns frontend), then #4 (Claude teammate handles test iteration), then #5 (final Codex review).

MCP Pre-flight Analysis (Optional)

For large ambiguous tasks, run analysis before team creation:

Call
```
ToolSearch("mcp")
```
to discover deferred MCP tools (required before first use)
Call
```
ask_codex
```
(planner role) with task description + codebase context
Use the analysis to produce better task decomposition
Create team and tasks with enriched context

If ToolSearch finds no MCP tools, skip MCP pre-flight and use Claude agents instead.

This is especially useful when the task scope is unclear and benefits from external reasoning before committing to a specific decomposition.

Monitor Enhancement: Outbox Auto-Ingestion

The lead can proactively ingest outbox messages from MCP workers using the outbox reader utilities, enabling event-driven monitoring without relying solely on

SendMessage

delivery.

Outbox Reader Functions

readNewOutboxMessages(teamName, workerName)
-- Read new outbox messages for a single worker using a byte-offset cursor. Each call advances the cursor, so subsequent calls only return messages written since the last read. Mirrors the inbox cursor pattern from

readNewInboxMessages()

readAllTeamOutboxMessages(teamName)
-- Read new outbox messages from ALL workers in a team. Returns an array of

{ workerName, messages }

entries, skipping workers with no new messages. Useful for batch polling in the monitor loop.

resetOutboxCursor(teamName, workerName)
-- Reset the outbox cursor for a worker back to byte 0. Useful when re-reading historical messages after a lead restart or for debugging.

Using

getTeamStatus()

in the Monitor Phase

The

getTeamStatus(teamName, workingDirectory, heartbeatMaxAgeMs?)

function provides a unified snapshot combining:

Worker registration -- Which MCP workers are registered (from shadow registry / config.json)
Heartbeat freshness -- Whether each worker is alive based on heartbeat age
Task progress -- Per-worker and team-wide task counts (pending, in_progress, completed)
Current task -- Which task each worker is actively executing
Recent outbox messages -- New messages since the last status check

Example usage in the monitor loop:

typescript

const status = getTeamStatus('fix-ts-errors', workingDirectory);

for (const worker of status.workers) {
  if (!worker.isAlive) {
    // Worker is dead -- reassign its in-progress tasks
  }
  for (const msg of worker.recentMessages) {
    if (msg.type === 'task_complete') {
      // Mark task complete, unblock dependents
    } else if (msg.type === 'task_failed') {
      // Handle failure, possibly retry or reassign
    } else if (msg.type === 'error') {
      // Log error, check if worker needs intervention
    }
  }
}

if (status.taskSummary.pending === 0 && status.taskSummary.inProgress === 0) {
  // All work done -- proceed to shutdown
}

Event-Based Actions from Outbox Messages

Message Type	Action
`task_complete`	Mark task completed, check if blocked tasks are now unblocked, notify dependent workers
`task_failed`	Increment failure sidecar, decide retry vs reassign vs skip
`idle`	Worker has no assigned tasks -- assign pending work or begin shutdown
`error`	Log the error, check `consecutiveErrors` in heartbeat for quarantine threshold
`shutdown_ack`	Worker acknowledged shutdown -- safe to remove from team
`heartbeat`	Update liveness tracking (redundant with heartbeat files but useful for latency monitoring)

This approach complements the existing

SendMessage

-based communication by providing a pull-based mechanism for MCP workers that cannot use Claude Code's team messaging tools.

Error Handling

Teammate Fails a Task

Teammate sends
```
SendMessage
```
to lead reporting the failure
Lead decides: retry (reassign same task to same or different worker) or skip
To reassign:
```
TaskUpdate
```
to set new owner, then
```
SendMessage
```
to the new owner

Teammate Gets Stuck (No Messages)

Lead detects via
```
TaskList
```
-- task stuck in
```
in_progress
```
for too long
Lead sends
```
SendMessage
```
to the teammate asking for status
If no response, consider the teammate dead
Reassign the task to another worker via
```
TaskUpdate
```

Dependency Blocked

If a blocking task fails, the lead must decide whether to:
- Retry the blocker
- Remove the dependency (
```
TaskUpdate
```
  with modified blockedBy)
- Skip the blocked task entirely
Communicate decisions to affected teammates via
```
SendMessage
```

Teammate Crashes

Internal task for that teammate will show unexpected status
Teammate disappears from
```
config.json
```
members
Lead reassigns orphaned tasks to remaining workers
If needed, spawn a replacement teammate with
```
Task(team_name, name)
```

Team + Ralph Composition

When the user invokes

/team ralph

, says "team ralph", or combines both keywords, team mode wraps itself in Ralph's persistence loop. This provides:

Team orchestration -- multi-agent staged pipeline with specialized agents per stage
Ralph persistence -- retry on failure, architect verification before completion, iteration tracking

Activation

Team+Ralph activates when:

User invokes

/team ralph "task"

/oh-my-claudecode:team ralph "task"

Keyword detector finds both
```
team
```
and
```
ralph
```
in the prompt
Hook detects
```
MAGIC KEYWORD: RALPH
```
alongside team context

State Linkage

Both modes write their own state files with cross-references:

// Team state (via state_write)
state_write(mode="team", active=true, current_phase="team-plan", state={
  "team_name": "build-rest-api",
  "linked_ralph": true,
  "task": "build a complete REST API"
})

// Ralph state (via state_write)
state_write(mode="ralph", active=true, iteration=1, max_iterations=10, current_phase="execution", state={
  "linked_team": true,
  "team_name": "build-rest-api"
})

Execution Flow

Ralph outer loop starts (iteration 1)

Team pipeline runs:

team-plan -> team-prd -> team-exec -> team-verify

If
```
team-verify
```
passes: Ralph runs architect verification (STANDARD tier minimum)
If architect approves: both modes complete, run
```
/oh-my-claudecode:cancel
```
If
```
team-verify
```
fails OR architect rejects: team enters
```
team-fix
```
, then loops back to
```
team-exec -> team-verify
```
If fix loop exceeds
```
max_fix_loops
```
: Ralph increments iteration and retries the full pipeline
If Ralph exceeds
```
max_iterations
```
: terminal
```
failed
```
state

Cancellation

Cancel either mode cancels both:

Cancel Ralph (linked): Cancel Team first (graceful shutdown), then clear Ralph state
Cancel Team (linked): Clear Team, mark Ralph iteration cancelled, stop loop

See Cancellation section below for details.

Idempotent Recovery

If the lead crashes mid-run, the team skill should detect existing state and resume:

Check
```
~/.claude/teams/
```
for teams matching the task slug
If found, read
```
config.json
```
to discover active members
Resume monitor mode instead of creating a duplicate team
Call
```
TaskList
```
to determine current progress
Continue from the monitoring phase

This prevents duplicate teams and allows graceful recovery from lead failures.

Comparison: Team vs Legacy Swarm

Aspect	Team (Native)	Swarm (Legacy SQLite)
Storage	JSON files in `~/.claude/teams/` and `~/.claude/tasks/`	SQLite in `.omc/state/swarm.db`
Dependencies	`better-sqlite3` not needed	Requires `better-sqlite3` npm package
Task claiming	`TaskUpdate(owner + in_progress)` -- lead pre-assigns	SQLite IMMEDIATE transaction -- atomic
Race conditions	Possible if two agents claim same task (mitigate by pre-assigning)	None (SQLite transactions)
Communication	`SendMessage` (DM, broadcast, shutdown)	None (fire-and-forget agents)
Task dependencies	Built-in `blocks` / `blockedBy` arrays	Not supported
Heartbeat	Automatic idle notifications from Claude Code	Manual heartbeat table + polling
Shutdown	Graceful request/response protocol	Signal-based termination
Agent lifecycle	Auto-tracked via internal tasks + config members	Manual tracking via heartbeat table
Progress visibility	`TaskList` shows live status with owner	SQL queries on tasks table
Conflict prevention	Owner field (lead-assigned)	Lease-based claiming with timeout
Crash recovery	Lead detects via missing messages, reassigns	Auto-release after 5-min lease timeout
State cleanup	`TeamDelete` removes everything	Manual `rm` of SQLite database

When to use Team over Swarm: Always prefer

/team

for new work. It uses Claude Code's built-in infrastructure, requires no external dependencies, supports inter-agent communication, and has task dependency management.

Cancellation

The

/oh-my-claudecode:cancel

skill handles team cleanup:

Read team state via

state_read(mode="team")

to get

team_name

and

linked_ralph

Send
```
shutdown_request
```
to all active teammates (from
```
config.json
```
members)
Wait for
```
shutdown_response
```
from each (15s timeout per member)
Call
```
TeamDelete
```
to remove team and task directories
Clear state via
```
state_clear(mode="team")
```
If
```
linked_ralph
```
is true, also clear ralph:
```
state_clear(mode="ralph")
```

Linked Mode Cancellation (Team + Ralph)

When team is linked to ralph, cancellation follows dependency order:

Cancel triggered from Ralph context: Cancel Team first (graceful shutdown of all teammates), then clear Ralph state. This ensures workers are stopped before the persistence loop exits.
Cancel triggered from Team context: Clear Team state, then mark Ralph as cancelled. Ralph's stop hook will detect the missing team and stop iterating.
Force cancel (
--force
): Clears both
```
team
```
and
```
ralph
```
state unconditionally via
```
state_clear
```
.

If teammates are unresponsive,

TeamDelete

may fail. In that case, the cancel skill should wait briefly and retry, or inform the user to manually clean up

~/.claude/teams/{team_name}/

and

~/.claude/tasks/{team_name}/

Configuration

Optional settings via

.omc-config.json

json

{
  "team": {
    "maxAgents": 20,
    "defaultAgentType": "executor",
    "monitorIntervalMs": 30000,
    "shutdownTimeoutMs": 15000
  }
}

maxAgents - Maximum teammates (default: 20)
defaultAgentType - Agent type when not specified (default:
```
executor
```
)
monitorIntervalMs - How often to poll
```
TaskList
```
(default: 30s)
shutdownTimeoutMs - How long to wait for shutdown responses (default: 15s)

Note: Team members do not have a hardcoded model default. Each teammate is a separate Claude Code session that inherits the user's configured model. Since teammates can spawn their own subagents, the session model acts as the orchestration layer while subagents can use any model tier.

State Cleanup

On successful completion:

```
TeamDelete
```
handles all Claude Code state:
- Removes
```
~/.claude/teams/{team_name}/
```
  (config)
- Removes
```
~/.claude/tasks/{team_name}/
```
  (all task files + lock)
OMC state cleanup via MCP tools:
```
state_clear(mode="team")
```
If linked to Ralph:
```
state_clear(mode="ralph")
```
Or run
```
/oh-my-claudecode:cancel
```
which handles all cleanup automatically.

IMPORTANT: Call

TeamDelete

only AFTER all teammates have been shut down.

TeamDelete

will fail if active members (besides the lead) still exist in the config.

Git Worktree Integration

MCP workers can operate in isolated git worktrees to prevent file conflicts between concurrent workers.

How It Works

Worktree creation: Before spawning a worker, call

createWorkerWorktree(teamName, workerName, repoRoot)

to create an isolated worktree at

.omc/worktrees/{team}/{worker}

with branch

omc-team/{teamName}/{workerName}

Worker isolation: Pass the worktree path as the
```
workingDirectory
```
in the worker's
```
BridgeConfig
```
. The worker operates exclusively in its own worktree.
Merge coordination: After a worker completes its tasks, use
```
checkMergeConflicts()
```
to verify the branch can be cleanly merged, then
```
mergeWorkerBranch()
```
to merge with
```
--no-ff
```
for clear history.
Team cleanup: On team shutdown, call
```
cleanupTeamWorktrees(teamName, repoRoot)
```
to remove all worktrees and their branches.

API Reference

Function	Description
`createWorkerWorktree(teamName, workerName, repoRoot, baseBranch?)`	Create isolated worktree
`removeWorkerWorktree(teamName, workerName, repoRoot)`	Remove worktree and branch
`listTeamWorktrees(teamName, repoRoot)`	List all team worktrees
`cleanupTeamWorktrees(teamName, repoRoot)`	Remove all team worktrees
`checkMergeConflicts(workerBranch, baseBranch, repoRoot)`	Non-destructive conflict check
`mergeWorkerBranch(workerBranch, baseBranch, repoRoot)`	Merge worker branch (--no-ff)
`mergeAllWorkerBranches(teamName, repoRoot, baseBranch?)`	Merge all completed workers

Important Notes

```
createSession()
```
in
```
tmux-session.ts
```
does NOT handle worktree creation — worktree lifecycle is managed separately via
```
git-worktree.ts
```
Worktrees are NOT cleaned up on individual worker shutdown — only on team shutdown, to allow post-mortem inspection
Branch names are sanitized via
```
sanitizeName()
```
to prevent injection
All paths are validated against directory traversal

Gotchas

Internal tasks pollute TaskList -- When a teammate is spawned, the system auto-creates an internal task with
```
metadata._internal: true
```
. These appear in
```
TaskList
```
output. Filter them when counting real task progress. The subject of an internal task is the teammate's name.
No atomic claiming -- Unlike SQLite swarm, there is no transactional guarantee on
```
TaskUpdate
```
. Two teammates could race to claim the same task. Mitigation: The lead should pre-assign owners via
```
TaskUpdate(taskId, owner)
```
before spawning teammates. Teammates should only work on tasks assigned to them.
Task IDs are strings -- IDs are auto-incrementing strings ("1", "2", "3"), not integers. Always pass string values to
```
taskId
```
fields.
TeamDelete requires empty team -- All teammates must be shut down before calling
```
TeamDelete
```
. The lead (the only remaining member) is excluded from this check.
Messages are auto-delivered -- Teammate messages arrive to the lead as new conversation turns. No polling or inbox-checking is needed for inbound messages. However, if the lead is mid-turn (processing), messages queue and deliver when the turn ends.
Teammate prompt stored in config -- The full prompt text is stored in
```
config.json
```
members array. Do not put secrets or sensitive data in teammate prompts.
Members auto-removed on shutdown -- After a teammate approves shutdown and terminates, it is automatically removed from
```
config.json
```
. Do not re-read config expecting to find shut-down teammates.
shutdown_response needs request_id -- The teammate must extract the
```
request_id
```
from the incoming shutdown request JSON and pass it back. The format is
```
shutdown-{timestamp}@{worker-name}
```
. Fabricating this ID will cause the shutdown to fail silently.
Team name must be a valid slug -- Use lowercase letters, numbers, and hyphens. Derive from the task description (e.g., "fix TypeScript errors" becomes "fix-ts-errors").
Broadcast is expensive -- Each broadcast sends a separate message to every teammate. Use
```
message
```
(DM) by default. Only broadcast for truly team-wide critical alerts.
MCP workers are one-shot, not persistent -- Codex and Gemini CLIs have full filesystem access and CAN make code changes. However, they run as autonomous one-shot jobs -- they cannot use TaskList/TaskUpdate/SendMessage. The lead must manage their lifecycle: write prompt_file, call MCP, read output_file, mark task complete. They don't participate in team communication like Claude teammates do.

team

NPX Install

Tags

SKILL.md Content

Team Skill

Usage

Parameters

Examples

Architecture

Staged Pipeline (Canonical Team Runtime)

Stage Agent Routing

Stage Entry/Exit Criteria

Verify/Fix Loop and Stop Conditions

Resume and Cancel Semantics

Workflow

Phase 1: Parse Input

Phase 2: Analyze & Decompose

Phase 3: Create Team

Phase 4: Create Tasks

Phase 5: Spawn Teammates

Phase 6: Monitor

Task Watchdog Policy

Phase 6.5: Stage Transitions (State Persistence)

Phase 7: Completion

Agent Preamble

Communication Patterns

Teammate to Lead (task completion report)

Lead to Teammate (reassignment or guidance)

Broadcast (use sparingly -- sends N separate messages)

Shutdown Protocol

MCP Workers (Hybrid Roles)

Execution Modes

How MCP Workers Operate

When to Route Where

Example: Hybrid Team with MCP Executors

MCP Pre-flight Analysis (Optional)

Monitor Enhancement: Outbox Auto-Ingestion

Outbox Reader Functions

Using getTeamStatus() in the Monitor Phase

Event-Based Actions from Outbox Messages

Error Handling

Teammate Fails a Task

Teammate Gets Stuck (No Messages)

Dependency Blocked

Teammate Crashes

Team + Ralph Composition

Activation

State Linkage

Execution Flow

Cancellation

Idempotent Recovery

Comparison: Team vs Legacy Swarm

Cancellation

Linked Mode Cancellation (Team + Ralph)

Configuration

State Cleanup

Git Worktree Integration

How It Works

API Reference

Important Notes

Gotchas

Using
`getTeamStatus()`
in the Monitor Phase