team-lifecycle-v4 — 워크플로우 오케스트레이션 team-lifecycle-v4, maestro-flow, community, 워크플로우 오케스트레이션, ide skills, MCP 엔드포인트, 멀티 에이전트 대시보드, 소프트웨어 개발 라이프사이클, CLI 도구, 코디네이터와 워커 역할

v1.0.0

이 스킬 정보

다중 에이전트 워크플로 오케스트레이션 및 MCP 엔드포인트 통합이 필요한 소프트웨어 개발 생명주기 관리를 위한 AI 에이전트에게 적합합니다. Team Lifecycle v4는 소프트웨어 개발의 전체 라이프사이클을 관리하는 워크플로우 오케스트레이션 도구입니다

기능

MCP 엔드포인트 지원
멀티 에이전트 대시보드
워크플로우 오케스트레이션 CLI
소프트웨어 개발 라이프사이클 관리
코디네이터와 워커 역할 지원

# Core Topics

catlog22 catlog22
[5]
[0]
Updated: 3/18/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
8/11
Quality Score
45
Canonical Locale
en
Detected Body Locale
en

다중 에이전트 워크플로 오케스트레이션 및 MCP 엔드포인트 통합이 필요한 소프트웨어 개발 생명주기 관리를 위한 AI 에이전트에게 적합합니다. Team Lifecycle v4는 소프트웨어 개발의 전체 라이프사이클을 관리하는 워크플로우 오케스트레이션 도구입니다

이 스킬을 사용하는 이유

에이전트는 규격에서 검토까지의 소프트웨어 개발을 오케스트레이션할 수 있으며, 다중 에이전트 대시보드와 MCP 엔드포인트 통합을 활용하며, CLI 기반의 워크플로우 관리와 라우터 기반의 아키텍처를 지원합니다.

최적의 용도

다중 에이전트 워크플로 오케스트레이션 및 MCP 엔드포인트 통합이 필요한 소프트웨어 개발 생명주기 관리를 위한 AI 에이전트에게 적합합니다.

실행 가능한 사용 사례 for team-lifecycle-v4

규격에서 검토까지의 소프트웨어 개발 워크플로우 자동화
다중 에이전트 대시보드를 통합하여 협업과 가시성을 향상시키는
MCP 엔드포인트 통합을 사용하여 테스트와 검토 프로세스를 간소화하는

! 보안 및 제한 사항

  • CLI 기반의 워크플로우 관리가 필요
  • 소프트웨어 개발 생명주기 관리에만 국한됨
  • 라우터 기반의 아키텍처에 의존

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is team-lifecycle-v4?

다중 에이전트 워크플로 오케스트레이션 및 MCP 엔드포인트 통합이 필요한 소프트웨어 개발 생명주기 관리를 위한 AI 에이전트에게 적합합니다. Team Lifecycle v4는 소프트웨어 개발의 전체 라이프사이클을 관리하는 워크플로우 오케스트레이션 도구입니다

How do I install team-lifecycle-v4?

Run the command: npx killer-skills add catlog22/maestro-flow/team-lifecycle-v4. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for team-lifecycle-v4?

Key use cases include: 규격에서 검토까지의 소프트웨어 개발 워크플로우 자동화, 다중 에이전트 대시보드를 통합하여 협업과 가시성을 향상시키는, MCP 엔드포인트 통합을 사용하여 테스트와 검토 프로세스를 간소화하는.

Which IDEs are compatible with team-lifecycle-v4?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for team-lifecycle-v4?

CLI 기반의 워크플로우 관리가 필요. 소프트웨어 개발 생명주기 관리에만 국한됨. 라우터 기반의 아키텍처에 의존.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add catlog22/maestro-flow/team-lifecycle-v4. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use team-lifecycle-v4 immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

team-lifecycle-v4

Team Lifecycle v4의 워크플로우 오케스트레이션 기능을 khám phá하세요. MCP 엔드포인트 지원 및 멀티 에이전트 대시보드를 포함합니다

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

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 -> STOP
                                 |
                    +--------+---+--------+
                    v        v            v
             [team-worker]  ...    [team-supervisor]
              per-task               resident agent
              lifecycle              message-driven
                                     (woken via SendMessage)

Role Registry

RolePathPrefixInner Loop
coordinatorroles/coordinator/role.md----
analystroles/analyst/role.mdRESEARCH-*false
writerroles/writer/role.mdDRAFT-*true
plannerroles/planner/role.mdPLAN-*true
executorroles/executor/role.mdIMPL-*true
testerroles/tester/role.mdTEST-*false
reviewerroles/reviewer/role.mdREVIEW-, QUALITY-, IMPROVE-*false
supervisorroles/supervisor/role.mdCHECKPOINT-*false

Role Router

Parse $ARGUMENTS:

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

Shared Constants

  • Session prefix: TLV4
  • Session path: .workflow/.team/TLV4-<slug>-<date>/
  • CLI tools: ccw cli --mode analysis (read-only), ccw cli --mode write (modifications)
  • Message bus: mcp__ccw-tools__team_msg(session_id=<session-id>, ...)

Worker Spawn Template

Coordinator spawns workers using this template:

Agent({
  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: <project>/.claude/skills/team-lifecycle-v4/roles/<role>/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 Phase 2-4 -> built-in Phase 5 (report).`
})

Supervisor Spawn Template

Supervisor is a resident agent (independent from team-worker). Spawned once during session init, woken via SendMessage for each CHECKPOINT task.

Spawn (Phase 2 -- once per session)

Agent({
  subagent_type: "team-supervisor",
  description: "Spawn resident supervisor",
  team_name: <team-name>,
  name: "supervisor",
  run_in_background: true,
  prompt: `## Role Assignment
role: supervisor
role_spec: <project>/.claude/skills/team-lifecycle-v4/roles/supervisor/role.md
session: <session-folder>
session_id: <session-id>
team_name: <team-name>
requirement: <task-description>

Read role_spec file to load checkpoint definitions.
Init: load baseline context, report ready, go idle.
Wake cycle: coordinator sends checkpoint requests via SendMessage.`
})

Wake (handleSpawnNext -- per CHECKPOINT task)

SendMessage({
  type: "message",
  recipient: "supervisor",
  content: `## Checkpoint Request
task_id: <CHECKPOINT-NNN>
scope: [<upstream-task-ids>]
pipeline_progress: <done>/<total> tasks completed`,
  summary: "Checkpoint request: <CHECKPOINT-NNN>"
})

Shutdown (handleComplete)

SendMessage({
  type: "shutdown_request",
  recipient: "supervisor",
  content: "Pipeline complete, shutting down supervisor"
})

User Commands

CommandAction
check / statusView execution status graph
resume / continueAdvance to next step
revise <TASK-ID> [feedback]Revise specific task
feedback <text>Inject feedback for revision
recheckRe-run quality check
improve [dimension]Auto-improve weakest dimension

Completion Action

When pipeline completes, coordinator presents:

AskUserQuestion({
  questions: [{
    question: "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" }
    ]
  }]
})

Specs Reference

Session Directory

.workflow/.team/TLV4-<slug>-<date>/
+-- team-session.json           # Session state + role registry
+-- spec/                       # Spec phase outputs
+-- plan/                       # Implementation plan + TASK-*.json
+-- artifacts/                  # All deliverables
+-- wisdom/                     # Cross-task knowledge
+-- explorations/               # Shared explore cache
+-- discussions/                # Discuss round records
+-- .msg/                       # Team message bus

Error Handling

ScenarioResolution
Unknown commandError with available command list
Role not foundError with role registry
CLI tool failsWorker fallback to direct implementation
Fast-advance conflictCoordinator reconciles on next callback
Supervisor crashRespawn with recovery: true, auto-rebuilds from existing reports
Supervisor not ready for CHECKPOINTSpawn/respawn supervisor, wait for ready, then wake
Completion action failsDefault to Keep Active

관련 스킬

Looking for an alternative to team-lifecycle-v4 or another community skill for your workflow? Explore these related open-source skills.

모두 보기

openclaw-release-maintainer

Logo of openclaw
openclaw

현지화된 요약: 🦞 # OpenClaw Release Maintainer Use this skill for release and publish-time workflow. It covers ai, assistant, crustacean workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

333.8k
0
인공지능

nextjs-turbopack

[ 추천 ]
Logo of affaan-m
affaan-m

현지화된 요약: Next.js 16+ and Turbopack — incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack. It covers ai-agents, anthropic, claude workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

169.5k
0
생산성

widget-generator

Logo of f
f

현지화된 요약: Generate customizable widget plugins for the prompts.chat feed system # Widget Generator Skill This skill guides creation of widget plugins for prompts.chat . It covers ai, artificial-intelligence, awesome-list workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf

149.6k
0
인공지능

flags

Logo of vercel
vercel

현지화된 요약: The React Framework # Feature Flags Use this skill when adding or changing framework feature flags in Next.js internals. It covers blog, browser, compiler workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

138.4k
0
브라우저