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team-coordinate-v2团队坐标 v2

Agent Skill

team-coordinate-v2 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

297

周安装

12

GitHub Stars

1,876

下载量

93
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:team-coordinate-v2(团队坐标 v2)
来源仓库:https://github.com/catlog22/claude-code-workflow
仓库路径:skills/team-coordinate-v2
安装命令:
npx skills add https://github.com/catlog22/claude-code-workflow --skill team-coordinate-v2
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/catlog22/claude-code-workflow --skill team-coordinate-v2

简介

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。

  • 可结合来源仓库、安装命令和原始 README 继续核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 适用于团队协作优化、流程改进或效率分析等进阶需求。
  • 支持多宿主环境,便于在不同 AI 工具间迁移使用。

SKILL.md

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.

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

Subagent Registry

SubagentSpecCallable ByPurpose
discusssubagents/discuss-subagent.mdany roleMulti-perspective critique (dynamic perspectives)
exploresubagents/explore-subagent.mdany roleCodebase 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):

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:

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

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-v2', 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
+-- 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:

  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
Discuss subagent failsWorker proceeds without discuss, 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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35%
按下载量换算33

Claude

29.01%
按下载量换算27

Cursor

18.87%
按下载量换算18

Gemini CLI

8.52%
按下载量换算8

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/catlog22/claude-code-workflow --skill team-coordinate-v2 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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