Team Coordinate v2
Universal team coordination skill: analyze task -> generate role-specs -> dispatch -> execute -> deliver. Only the coordinator is built-in. All worker roles are dynamically generated as lightweight role-spec files and spawned via the team-worker agent.
Architecture
+---------------------------------------------------+ | Skill(skill="team-coordinate-v2") | | args="task description" | +-------------------+-------------------------------+ | Orchestration Mode (auto -> coordinator) | Coordinator (built-in) Phase 0-5 orchestration | +-------+-------+-------+-------+ v v v v v [team-worker agents, each loaded with a dynamic role-spec] (roles generated at runtime from task analysis)
Subagents (callable by any worker, not team members): [discuss-subagent] - multi-perspective critique (dynamic perspectives) [explore-subagent] - codebase exploration with cache
Role Router
This skill is coordinator-only. Workers do NOT invoke this skill -- they are spawned as team-worker agents directly.
Input Parsing
Parse $ARGUMENTS . No --role needed -- always routes to coordinator.
Role Registry
Only coordinator is statically registered. All other roles are dynamic, stored as role-specs in session.
Role File Type
coordinator roles/coordinator/role.md built-in orchestrator
(dynamic) <session>/role-specs/<role-name>.md
runtime-generated role-spec
Subagent Registry
Subagent Spec Callable By Purpose
discuss subagents/discuss-subagent.md any role Multi-perspective critique (dynamic perspectives)
explore subagents/explore-subagent.md any role Codebase exploration with cache
Dispatch
Always route to coordinator. Coordinator reads roles/coordinator/role.md and executes its phases.
Orchestration Mode
User just provides task description.
Invocation: Skill(skill="team-coordinate-v2", args="task description")
Lifecycle:
User provides task description -> coordinator Phase 1: task analysis (detect capabilities, build dependency graph) -> coordinator Phase 2: generate role-specs + initialize session -> coordinator Phase 3: create task chain from dependency graph -> coordinator Phase 4: spawn first batch workers (background) -> STOP -> Worker executes -> SendMessage callback -> coordinator advances next step -> Loop until pipeline complete -> Phase 5 report + completion action
User Commands (wake paused coordinator):
Command Action
check / status
Output execution status graph, no advancement
resume / continue
Check worker states, advance next step
Coordinator Spawn Template
v2 Worker Spawn (all roles)
When coordinator spawns workers, use team-worker agent with role-spec path:
Task({ subagent_type: "team-worker", description: "Spawn <role> worker", team_name: <team-name>, name: "<role>", run_in_background: true, prompt: `## Role Assignment role: <role> role_spec: <session-folder>/role-specs/<role>.md session: <session-folder> session_id: <session-id> team_name: <team-name> requirement: <task-description> inner_loop: <true|false>
Read role_spec file to load Phase 2-4 domain instructions. Execute built-in Phase 1 (task discovery) -> role-spec Phase 2-4 -> built-in Phase 5 (report).` })
Inner Loop roles (role has 2+ serial same-prefix tasks): Set inner_loop: true . The team-worker agent handles the loop internally.
Single-task roles: Set inner_loop: false .
Completion Action
When pipeline completes (all tasks done), coordinator presents an interactive choice:
AskUserQuestion({ questions: [{ question: "Team pipeline complete. What would you like to do?", header: "Completion", multiSelect: false, options: [ { label: "Archive & Clean (Recommended)", description: "Archive session, clean up team" }, { label: "Keep Active", description: "Keep session for follow-up work" }, { label: "Export Results", description: "Export deliverables to target directory, then clean" } ] }] })
Action Handlers
Choice Steps
Archive & Clean Update session status="completed" -> TeamDelete -> output final summary with artifact paths
Keep Active Update session status="paused" -> output: "Resume with: Skill(skill='team-coordinate-v2', args='resume')"
Export Results AskUserQuestion(target path) -> copy artifacts to target -> Archive & Clean
Cadence Control
Beat model: Event-driven, each beat = coordinator wake -> process -> spawn -> STOP.
Beat Cycle (single beat)
Event Coordinator Workers
callback/resume --> +- handleCallback -+ | mark completed | | check pipeline | +- handleSpawnNext -+ | find ready tasks | | spawn workers ---+--> [team-worker A] Phase 1-5 | (parallel OK) --+--> [team-worker B] Phase 1-5 +- STOP (idle) -----+ | | callback <-----------------------------------------+ (next beat) SendMessage + TaskUpdate(completed)
Fast-Advance (skips coordinator for simple linear successors)
[Worker A] Phase 5 complete +- 1 ready task? simple successor? --> spawn team-worker B directly +- complex case? --> SendMessage to coordinator
Pipelines are dynamic: Unlike static pipeline definitions, team-coordinate pipelines are generated per-task from the dependency graph.
Session Directory
.workflow/.team/TC-<slug>-<date>/ +-- team-session.json # Session state + dynamic role registry +-- task-analysis.json # Phase 1 output: capabilities, dependency graph +-- role-specs/ # Dynamic role-spec definitions (generated Phase 2) | +-- <role-1>.md # Lightweight: frontmatter + Phase 2-4 only | +-- <role-2>.md +-- artifacts/ # All MD deliverables from workers | +-- <artifact>.md +-- shared-memory.json # Cross-role state store +-- wisdom/ # Cross-task knowledge | +-- learnings.md | +-- decisions.md | +-- issues.md +-- explorations/ # Shared explore cache | +-- cache-index.json | +-- explore-<angle>.json +-- discussions/ # Inline discuss records | +-- <round>.md +-- .msg/ # Team message bus logs
team-session.json Schema
{ "session_id": "TC-<slug>-<date>", "task_description": "<original user input>", "status": "active | paused | completed", "team_name": "<team-name>", "roles": [ { "name": "<role-name>", "prefix": "<PREFIX>", "responsibility_type": "<type>", "inner_loop": false, "role_spec": "role-specs/<role-name>.md" } ], "pipeline": { "dependency_graph": {}, "tasks_total": 0, "tasks_completed": 0 }, "active_workers": [], "completed_tasks": [], "completion_action": "interactive", "created_at": "<timestamp>" }
Session Resume
Coordinator supports resume / continue for interrupted sessions:
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Scan .workflow/.team/TC-*/team-session.json for active/paused sessions
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Multiple matches -> AskUserQuestion for selection
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Audit TaskList -> reconcile session state <-> task status
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Reset in_progress -> pending (interrupted tasks)
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Rebuild team and spawn needed workers only
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Create missing tasks with correct blockedBy
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Kick first executable task -> Phase 4 coordination loop
Error Handling
Scenario Resolution
Unknown command Error with available command list
Dynamic role-spec not found Error, coordinator may need to regenerate
Command file not found Fallback to inline execution
Discuss subagent fails Worker proceeds without discuss, logs warning
Explore cache corrupt Clear cache, re-explore
Fast-advance spawns wrong task Coordinator reconciles on next callback
capability_gap reported Coordinator generates new role-spec via handleAdapt
Completion action fails Default to Keep Active, log warning