Spawns and coordinates multiple agents to work on decomposed subtasks in parallel.

Install

mkdir -p .claude/skills/team-zereight && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/17822" && unzip -o skill.zip -d .claude/skills/team-zereight && rm skill.zip

Installs to .claude/skills/team-zereight

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

N coordinated agents on shared task list with staged pipeline. Activate when user says: team, spawn agents, parallel agents, coordinate agents, multi-agent, swarm, work together.
178 chars✓ has a “when” trigger
Advanced

Key capabilities

  • Decompose a high-level task into independent subtasks.
  • Coordinate multiple agents on a shared task list.
  • Spawn worker agents to execute subtasks in parallel.
  • Monitor agent progress and handle failures.
  • Manage task dependencies and stage transitions.

How it works

This skill decomposes a task into subtasks, assigns them to multiple coordinated agents, and manages their execution through a staged pipeline. It monitors progress, handles failures, and ensures task dependencies are met.

Inputs & outputs

You give it
A high-level task description, optionally with agent count and type.
You get back
Completed subtasks executed by coordinated agents, or a final report.

When to use team

  • Parallelizing large-scale refactoring
  • Multi-service feature development
  • Scaling task execution

About this skill

Team

Spawn N coordinated agents working on a shared task list. Uses VS Code's native subagent system for team management, inter-agent messaging, and task dependencies.

When to Use

  • Task is decomposable into independent subtasks
  • Multiple files/modules need parallel work
  • Large-scale refactoring, migration, or multi-service work

When NOT to Use

  • Single-file changes → use /omg-autopilot or direct editing
  • Sequential pipeline → use /omg-autopilot
  • Just need a plan → use /plan or /ralplan

Usage

/team 3:executor "fix all TypeScript errors"
/team 4:designer "implement responsive layouts"
/team "refactor the auth module"
/team ralph "build a complete REST API"

Parameters

  • N — Number of agents (1-20). Defaults to auto-sizing.
  • agent-type — Agent for team-exec stage (executor, debugger, designer, etc.). Defaults to stage-aware routing.
  • ralph — Wraps team in Ralph's persistence loop (retry on failure, verification before completion).
  • task — High-level task to decompose and distribute.

Architecture

User: "/team 3:executor fix all TypeScript errors"
              |
              v
      [omg-coordinator (Lead)]
              |
              +-- Analyze & decompose → subtask list
              |
              +-- Create tasks with dependencies
              |
              +-- Spawn N worker agents (subagents)
              |
              +-- Monitor loop (messages + task polling)
              |
              +-- Completion → shutdown workers → cleanup

Staged Pipeline

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

Stage Agent Routing

Each stage uses specialized agents — not just executors:

StageRequired AgentsOptional Agents
team-plan@explore, @planner@analyst, @architect
team-prd@analyst@critic
team-exec@executor@debugger, @designer, @writer, @test-engineer
team-verify@verifier@test-engineer, @security-reviewer, @code-reviewer
team-fix@executor@debugger

Routing rules:

  1. Lead picks agents per stage, not the user. User's N:agent-type only overrides team-exec workers.
  2. Specialist agents complement executors. Route analysis to @architect, UI to @designer.
  3. Security-sensitive or >20 file changes must include @security-reviewer + @code-reviewer in team-verify.

Stage Entry/Exit Criteria

  • team-plan: Entry = invocation. Exit = task graph ready.
  • team-prd: Entry = scope ambiguous. Exit = acceptance criteria explicit.
  • team-exec: Entry = tasks created + workers spawned. Exit = tasks reach terminal state.
  • team-verify: Entry = execution pass done. Exit (pass) = gates pass. Exit (fail) = fix tasks generated.
  • team-fix: Entry = defects found. Exit = fixes done, return to team-verify.

Verify/Fix Loop

Continue team-exec → team-verify → team-fix until:

  1. Verification passes with no required fixes, or
  2. Max fix attempts exceeded (default: 3) → terminal failed

Workflow

Phase 1: Parse Input

  • Extract N (agent count, validate 1-20)
  • Extract agent-type
  • Extract task description
  • Check for ralph modifier

Phase 2: Analyze & Decompose

Use @explore or @architect to analyze the codebase and break the task into N subtasks:

  • Each subtask should be file-scoped or module-scoped
  • Subtasks must be independent or have clear dependencies
  • Each needs a concise subject and detailed description

Phase 3: Create Team

Write team state via omg_write_state:

{
  "mode": "team",
  "active": true,
  "team_name": "fix-ts-errors",
  "agent_count": 3,
  "current_phase": "team-plan",
  "task": "fix all TypeScript errors"
}

Phase 4: Create Tasks

Create subtasks with dependencies. Pre-assign owners to avoid race conditions.

Phase 5: Spawn Workers

Spawn N subagents in parallel using the agents field references:

  • Each worker gets team preamble + assigned tasks
  • Workers execute independently and report back

Phase 6: Monitor

Monitor via two channels:

  1. Inbound messages — workers report completion or need help
  2. Task polling — check overall progress periodically

Coordination actions:

  • Unblock a worker with guidance
  • Reassign work if a worker finishes early
  • Handle failures — reassign or spawn replacement

Watchdog policy:

  • Task stuck >5 min without messages → send status check
  • No messages >10 min → reassign task
  • Worker fails 2+ tasks → stop assigning to it

Phase 7: Stage Transitions

Update state on every stage transition via omg_write_state.

Phase 8: Completion

  1. Signal shutdown to all workers
  2. Wait for responses (15s timeout)
  3. Clean up team resources and state
  4. Report summary

Stage Handoff Convention

Each stage produces a handoff document before transitioning:

## Handoff: <current-stage> → <next-stage>
- **Decided**: [key decisions]
- **Rejected**: [alternatives and why]
- **Risks**: [identified risks]
- **Files**: [key files modified]
- **Remaining**: [items for next stage]

Handoffs saved to .omc/handoffs/<stage-name>.md. Survive cancellation for resume.

Team + Ralph Composition

When ralph modifier is present:

  1. Ralph creates PRD with stories
  2. Each story executed as a team pipeline
  3. Team verify/fix loop satisfies story acceptance criteria
  4. Ralph verifies story completion
  5. Next story begins

State Tracking

Track in .omc/state/team-state.json via omg_write_state/omg_read_state.

Resume and Cancel

  • Resume: Restart from last non-terminal stage using state + handoffs
  • Cancel: /cancel → graceful shutdown → cleanup → state preserved/cleared per policy

When not to use it

  • When the task involves single-file changes.
  • When the workflow is a sequential pipeline.
  • When only a plan is needed, not execution.

Limitations

  • Agent count is limited to 1-20.
  • Requires tasks to be decomposable into independent subtasks.
  • Uses VS Code's native subagent system for team management.

How it compares

This skill enables parallel execution of complex tasks by coordinating multiple specialized agents, unlike single-agent execution which processes tasks sequentially.

Compared to similar skills

team side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
team (this skill)03moNo flagsAdvanced
agent-protocol11moNo flagsIntermediate
messaging-agents03moReviewIntermediate
agent-collective-intelligence-coordinator05moNo flagsAdvanced

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