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team

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.

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zereight/gitlab-mcp
Dernière activité de la source
12 avril 2026 à 05:11
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anglais
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SKILL.md
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name
team
description
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.
argument-hint
[N:agent-type] [ralph] <task description>
# 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: | Stage | Required Agents | Optional 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`: ```json { "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: ```markdown ## 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
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