Team Lifecycle v4 Skill

Team Lifecycle v4

Orchestrate multi-agent software development: specification -> planning -> implementation -> testing -> review.

Architecture

Skill(skill="team-lifecycle-v4", args="task description")
                    |
         SKILL.md (this file) = Router
                    |
     +--------------+--------------+
     |                             |
  no --role flag              --role <name>
     |                             |
  Coordinator                  Worker
  roles/coordinator/role.md    roles/<name>/role.md
     |
     +-- analyze -> dispatch -> spawn -> wait -> collect
                                 |
                    +--------+---+--------+
                    v        v            v
            spawn_agent    ...     spawn_agent
          (team_worker)         (team_supervisor)
              per-task             resident agent
              lifecycle            assign_task-driven
                    |                     |
                    +-- wait_agent --------+
                              |
                         collect results

Role Registry

| Role | Path | Prefix | Inner Loop | |------|------|--------|------------| | coordinator | roles/coordinator/role.md | -- | -- | | analyst | roles/analyst/role.md | RESEARCH-* | false | | writer | roles/writer/role.md | DRAFT-* | true | | planner | roles/planner/role.md | PLAN-* | true | | executor | roles/executor/role.md | IMPL-* | true | | tester | roles/tester/role.md | TEST-* | false | | reviewer | roles/reviewer/role.md | REVIEW-, QUALITY-, IMPROVE-* | false | | supervisor | roles/supervisor/role.md | CHECKPOINT-* | false |

Role Router

Parse $ARGUMENTS:

Has --role <name> -> Read roles/<name>/role.md, execute Phase 2-4
No --role -> roles/coordinator/role.md, execute entry router

Delegation Lock

Coordinator is a PURE ORCHESTRATOR. It coordinates, it does NOT do.

Before calling ANY tool, apply this check:

| Tool Call | Verdict | Reason | |-----------|---------|--------| | spawn_agent, wait_agent, close_agent, send_message, assign_task | ALLOWED | Orchestration | | list_agents | ALLOWED | Agent health check | | request_user_input | ALLOWED | User interaction | | mcp__ccw-tools__team_msg | ALLOWED | Message bus | | Read/Write on .workflow/.team/ files | ALLOWED | Session state | | Read on roles/, commands/, specs/, templates/ | ALLOWED | Loading own instructions | | Read/Grep/Glob on project source code | BLOCKED | Delegate to worker | | Edit on any file outside .workflow/ | BLOCKED | Delegate to worker | | Bash("ccw cli ...") | BLOCKED | Only workers call CLI | | Bash running build/test/lint commands | BLOCKED | Delegate to worker |

If a tool call is BLOCKED: STOP. Create a task, spawn a worker.

No exceptions for "simple" tasks. Even a single-file read-and-report MUST go through spawn_agent.

Shared Constants

Session prefix: TLV4
Session path: .workflow/.team/TLV4-<slug>-<date>/
State file: <session>/tasks.json
Discovery files: <session>/discoveries/{task_id}.json
CLI tools: ccw cli --mode analysis (read-only), ccw cli --mode write (modifications)

Worker Spawn Template

Coordinator spawns workers using this template:

spawn_agent({
  agent_type: "team_worker",
  task_name: "<task-id>",
  fork_context: false,
  items: [
    { type: "text", text: `## Role Assignment
role: <role>
role_spec: <skill_root>/roles/<role>/role.md
session: <session-folder>
session_id: <session-id>
requirement: <task-description>
inner_loop: <true|false>

Read role_spec file (<skill_root>/roles/<role>/role.md) to load Phase 2-4 domain instructions.
Execute built-in Phase 1 (task discovery) -> role Phase 2-4 -> built-in Phase 5 (report).` },

    { type: "text", text: `## Task Context
task_id: <task-id>
title: <task-title>
description: <task-description>
pipeline_phase: <pipeline-phase>` },

    { type: "text", text: `## Upstream Context
<prev_context>` }
  ]
})

Supervisor Spawn Template

Supervisor is a resident agent (independent from team_worker). Spawned once during session init, woken via assign_task for each CHECKPOINT task.

Spawn (Phase 2 -- once per session)

supervisorId = spawn_agent({
  agent_type: "team_supervisor",
  task_name: "supervisor",
  fork_context: false,
  items: [
    { type: "text", text: `## Role Assignment
role: supervisor
role_spec: <skill_root>/roles/supervisor/role.md
session: <session-folder>
session_id: <session-id>
requirement: <task-description>

Read role_spec file (<skill_root>/roles/supervisor/role.md) to load checkpoint definitions.
Init: load baseline context, report ready, go idle.
Wake cycle: orchestrator sends checkpoint requests via assign_task.` }
  ]
})

Wake (per CHECKPOINT task)

assign_task({
  target: "supervisor",
  items: [
    { type: "text", text: `## Checkpoint Request
task_id: <CHECKPOINT-NNN>
scope: [<upstream-task-ids>]
pipeline_progress: <done>/<total> tasks completed` }
  ]
})
wait_agent({ targets: ["supervisor"], timeout_ms: 300000 })

Shutdown (pipeline complete)

close_agent({ target: "supervisor" })

Model Selection Guide

| Role | model | reasoning_effort | Rationale | |------|-------|-------------------|-----------| | Analyst (RESEARCH-) | (default) | medium | Read-heavy exploration, less reasoning needed | | Writer (DRAFT-) | (default) | high | Spec writing requires precision and completeness | | Planner (PLAN-) | (default) | high | Architecture decisions need full reasoning | | Executor (IMPL-) | (default) | high | Code generation needs precision | | Tester (TEST-) | (default) | high | Test generation requires deep code understanding | | Reviewer (REVIEW-, QUALITY-, IMPROVE-) | (default) | high | Deep analysis for quality assessment | | Supervisor (CHECKPOINT-*) | (default) | medium | Gate checking, report aggregation |

Override model/reasoning_effort in spawn_agent when cost optimization is needed:

spawn_agent({
  agent_type: "team_worker",
  task_name: "<task-id>",
  fork_context: false,
  model: "<model-override>",
  reasoning_effort: "<effort-level>",
  items: [...]
})

Wave Execution Engine

For each wave in the pipeline:

Load state -- Read <session>/tasks.json, filter tasks for current wave
Skip failed deps -- Mark tasks whose dependencies failed/skipped as skipped
Build upstream context -- For each task, gather findings from context_from tasks via tasks.json and discoveries/{id}.json
Separate task types -- Split into regular tasks and CHECKPOINT tasks
Spawn regular tasks -- For each regular task, call spawn_agent({ agent_type: "team_worker", items: [...] }), collect agent IDs
Wait -- wait_agent({ targets: [...], timeout_ms: 900000 })
Collect results -- Read discoveries/{task_id}.json for each agent, update tasks.json status/findings/error, then close_agent({ target }) each worker
Execute checkpoints -- For each CHECKPOINT task, assign_task to supervisor, wait_agent, read checkpoint report from artifacts/, parse verdict
Handle block -- If verdict is block, prompt user via request_user_input with options: Override / Revise upstream / Abort
Persist -- Write updated state to <session>/tasks.json

User Commands

| Command | Action | |---------|--------| | check / status | View execution status graph | | resume / continue | Advance to next step | | revise <TASK-ID> [feedback] | Revise specific task | | feedback <text> | Inject feedback for revision | | recheck | Re-run quality check | | improve [dimension] | Auto-improve weakest dimension |

v4 Agent Coordination

Message Semantics

| Intent | API | Example | |--------|-----|---------| | Queue supplementary info (don't interrupt) | send_message | Send planning results to running implementers | | Wake resident supervisor for checkpoint | assign_task | Trigger CHECKPOINT-* evaluation on supervisor | | Supervisor reports back to coordinator | send_message | Supervisor sends checkpoint verdict as supplementary info | | Check running agents | list_agents | Verify agent + supervisor health during resume |

CRITICAL: The supervisor is a resident agent woken via assign_task, NOT send_message. Regular workers complete and are closed; the supervisor persists across checkpoints. See "Supervisor Spawn Template" above.

Agent Health Check

Use list_agents({}) in handleResume and handleComplete:

// Reconcile session state with actual running agents
const running = list_agents({})
// Compare with tasks.json active_agents
// Reset orphaned tasks (in_progress but agent gone) to pending
// ALSO check supervisor: if supervisor missing but CHECKPOINT tasks pending -> respawn

Named Agent Targeting

Workers are spawned with task_name: "<task-id>" enabling direct addressing:

send_message({ target: "IMPL-001", items: [...] }) -- queue planning context to running implementer
assign_task({ target: "supervisor", items: [...] }) -- wake supervisor for checkpoint
close_agent({ target: "IMPL-001" }) -- cleanup regular worker by name
close_agent({ target: "supervisor" }) -- shutdown supervisor at pipeline end

Completion Action

When pipeline completes, coordinator presents:

request_user_input({
  questions: [{
    question: "Pipeline complete. What would you like to do?",
    header: "Completion",
    multiSelect: false,
    options: [
      { label: "Archive & Clean (Recommended)", description: "Archive session, clean up resources" },
      { label: "Keep Active", description: "Keep session for follow-up work" },
      { label: "Export Results", description: "Export deliverables to target directory" }
    ]
  }]
})

Specs Reference

specs/pipelines.md -- Pipeline definitions and task registry
specs/quality-gates.md -- Quality gate criteria and scoring
specs/knowledge-transfer.md -- Artifact and state transfer protocols

Session Directory

.workflow/.team/TLV4-<slug>-<date>/
├── tasks.json                  # Task state (JSON)
├── discoveries/                # Per-task findings ({task_id}.json)
├── spec/                       # Spec phase outputs
├── plan/                       # Implementation plan
├── artifacts/                  # All deliverables
├── wisdom/                     # Cross-task knowledge
├── explorations/               # Shared explore cache
└── discussions/                # Discuss round records

Error Handling

| Scenario | Resolution | |----------|------------| | Unknown command | Error with available command list | | Role not found | Error with role registry | | CLI tool fails | Worker fallback to direct implementation | | Supervisor crash | Respawn with recovery: true, auto-rebuilds from existing reports | | Supervisor not ready for CHECKPOINT | Spawn/respawn supervisor, wait for ready, then wake | | Completion action fails | Default to Keep Active | | Worker timeout | Mark task as failed, continue wave | | Discovery file missing | Mark task as failed with "No discovery file produced" |

Agent Skills: Team Lifecycle v4

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