team-coordinate — claude-code team-coordinate, Claude-Code-Workflow, community, claude-code, ide skills, cli-tools, context-management, gemini-cli, json-driven, qwen-code, Claude Code

v1.0.0

关于此技能

适用于需要动态任务自动化和团队协调的自主代理,例如Cursor、Windsurf或Claude Code,能够高效地管理和执行任务。 Universal team coordination skill with dynamic role generation. Uses team-worker agent architecture with role-spec files. Only coordinator is built-in -- all worker roles are generated at runtime as role-specs and spawned via team-worker agent. Beat/cadence model for orchestration. Triggers on Team Coordinate .

# 核心主题

catlog22 catlog22
[1.4k]
[114]
更新于: 3/4/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 9/11

This page remains useful for operators, 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 Quality floor passed for review
Review Score
9/11
Quality Score
70
Canonical Locale
en
Detected Body Locale
en

适用于需要动态任务自动化和团队协调的自主代理,例如Cursor、Windsurf或Claude Code,能够高效地管理和执行任务。 Universal team coordination skill with dynamic role generation. Uses team-worker agent architecture with role-spec files. Only coordinator is built-in -- all worker roles are generated at runtime as role-specs and spawned via team-worker agent. Beat/cadence model for orchestration. Triggers on Team Coordinate .

核心价值

赋予代理分析任务、生成角色规格并通过团队工作者代理分配工作者角色,利用动态角色生成和轻量级角色规格文件,从而增强其使用诸如团队工作者代理交互等协议的自动化能力。

适用 Agent 类型

适用于需要动态任务自动化和团队协调的自主代理,例如Cursor、Windsurf或Claude Code,能够高效地管理和执行任务。

赋予的主要能力 · team-coordinate

在团队成员之间自动分配任务
为复杂任务生成动态角色规格
通过团队工作者代理分配和执行任务

! 使用限制与门槛

  • 需要团队工作者代理来分配角色
  • 仅内置协调器,工作者角色是动态生成的

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

实验室 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

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

team-coordinate 是什么?

适用于需要动态任务自动化和团队协调的自主代理,例如Cursor、Windsurf或Claude Code,能够高效地管理和执行任务。 Universal team coordination skill with dynamic role generation. Uses team-worker agent architecture with role-spec files. Only coordinator is built-in -- all worker roles are generated at runtime as role-specs and spawned via team-worker agent. Beat/cadence model for orchestration. Triggers on Team Coordinate .

如何安装 team-coordinate?

运行命令:npx killer-skills add catlog22/Claude-Code-Workflow。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

team-coordinate 适用于哪些场景?

典型场景包括:在团队成员之间自动分配任务、为复杂任务生成动态角色规格、通过团队工作者代理分配和执行任务。

team-coordinate 支持哪些 IDE 或 Agent?

该技能兼容 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。可使用 Killer-Skills CLI 一条命令通用安装。

team-coordinate 有哪些限制?

需要团队工作者代理来分配角色;仅内置协调器,工作者角色是动态生成的。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add catlog22/Claude-Code-Workflow。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    team-coordinate 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

team-coordinate

安装 team-coordinate,这是一款面向AI agent workflows and automation的 AI Agent Skill。支持 Claude Code、Cursor、Windsurf,一键安装。

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

Team Coordinate

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")                 |
|  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)

  CLI Tools (callable by any worker):
    ccw cli --mode analysis  - analysis and exploration
    ccw cli --mode write     - code generation and modification

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.

RoleFileType
coordinatorroles/coordinator/role.mdbuilt-in orchestrator
(dynamic)<session>/role-specs/<role-name>.mdruntime-generated role-spec

CLI Tool Usage

Workers can use CLI tools for analysis and code operations:

ToolPurpose
ccw cli --mode analysisAnalysis, exploration, pattern discovery
ccw cli --mode writeCode generation, modification, refactoring

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", 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):

CommandAction
check / statusOutput execution status graph, no advancement
resume / continueCheck 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:

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: <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

ChoiceSteps
Archive & CleanUpdate session status="completed" -> TeamDelete -> output final summary with artifact paths
Keep ActiveUpdate session status="paused" -> output: "Resume with: Skill(skill='team-coordinate', args='resume')"
Export ResultsAskUserQuestion(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
+-- .msg/                       # Team message bus + state
|   +-- messages.jsonl          # Message log
|   +-- meta.json               # Session metadata + cross-role state
+-- 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

team-session.json Schema

json
1{ 2 "session_id": "TC-<slug>-<date>", 3 "task_description": "<original user input>", 4 "status": "active | paused | completed", 5 "team_name": "<team-name>", 6 "roles": [ 7 { 8 "name": "<role-name>", 9 "prefix": "<PREFIX>", 10 "responsibility_type": "<type>", 11 "inner_loop": false, 12 "role_spec": "role-specs/<role-name>.md" 13 } 14 ], 15 "pipeline": { 16 "dependency_graph": {}, 17 "tasks_total": 0, 18 "tasks_completed": 0 19 }, 20 "active_workers": [], 21 "completed_tasks": [], 22 "completion_action": "interactive", 23 "created_at": "<timestamp>" 24}

Session Resume

Coordinator supports resume / continue for interrupted sessions:

  1. Scan .workflow/.team/TC-*/team-session.json for active/paused sessions
  2. Multiple matches -> AskUserQuestion for selection
  3. Audit TaskList -> reconcile session state <-> task status
  4. Reset in_progress -> pending (interrupted tasks)
  5. Rebuild team and spawn needed workers only
  6. Create missing tasks with correct blockedBy
  7. Kick first executable task -> Phase 4 coordination loop

Error Handling

ScenarioResolution
Unknown commandError with available command list
Dynamic role-spec not foundError, coordinator may need to regenerate
Command file not foundFallback to inline execution
CLI tool failsWorker proceeds with direct implementation, logs warning
Explore cache corruptClear cache, re-explore
Fast-advance spawns wrong taskCoordinator reconciles on next callback
capability_gap reportedCoordinator generates new role-spec via handleAdapt
Completion action failsDefault to Keep Active, log warning

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