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Agent Skill · 研究检索

team-coordinate(团队坐标)

team-coordinate 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。

team-coordinate 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 46,660。

总安装 768周安装 33GitHub Stars 1,929下载 269核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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(团队坐标)
来源仓库:https://github.com/catlog22/claude-code-workflow
仓库路径:skills/team-coordinate
安装命令:
npx skills add https://github.com/catlog22/claude-code-workflow --skill team-coordinate
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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

适用于团队协作规划、任务分配或进度跟踪等需要信息筛选的场景。支持多宿主环境,便于在不同 AI 工具间迁移使用。

来源仓库内路径:skills/team-coordinate

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/catlog22/claude-code-workflow --skill team-coo…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

team-coordinate 怎么安装?

在终端执行 npx skills add https://github.com/catlog22/claude-code-workflow --skill team-coordinate。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

team-coordinate 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

team-coordinate 需要什么权限?

权限级别是执行命令。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 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。

team-coordinate 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

team-coordinate 用的人多吗?

公开数据是累计安装 768 次,近一周安装 33 次,下载 269 次,GitHub 1,929 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

team-coordinate 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 1,929 星,维护活跃度相对可查。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
team-coordinate

团队坐标 · 本页

7681,929执行命令未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

Shared Constants

ConstantValue
Session prefixTC
Session path.workflow/.team/TC-<slug>-<date>/
Worker agentteam-worker
Message busmcp__ccw-tools__team_msg(session_id=<session-id>,...)
CLI analysisccw cli --mode analysis
CLI writeccw cli --mode write
Max roles5

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

Tech Profile Scan: When generating role-specs for analysis/exploration roles (responsibility_type includes "analysis", "exploration", or "research"), append to Phase 3:

After exploration, include tech_profile in state_update with detected signals (e.g., sql_detected, auth_detected, perf_sensitive) and evidence file paths. This enables coordinator to evaluate specialist injection needs.

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
revise <TASK-ID> [feedback]Revise specific task with optional feedback
feedback <text>Inject feedback into active pipeline
improve [dimension]Auto-improve weakest quality dimension

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>

## Progress Milestones
session_id: <session-id>
Report progress via team_msg at natural phase boundaries (context loaded -> core work done -> verification).
Report blockers immediately via team_msg type="blocker".
Report completion via team_msg type="task_complete" after final SendMessage.

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: Determined per-task from task description InnerLoop: field, not per-role:

  • Serial chain (2+ tasks, each blockedBy previous): inner_loop: true — single worker loops
  • Parallel tasks (no mutual blockedBy): inner_loop: false — separate workers per task
  • Single-task roles: 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

Specs Reference

SpecPurpose
specs/pipelines.mdDynamic pipeline model, task naming, dependency graph
specs/role-spec-template.mdTemplate for dynamic role-spec generation
specs/quality-gates.mdQuality thresholds and scoring dimensions
specs/knowledge-transfer.mdContext transfer protocols between roles

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

{
  "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, set dependencies via TaskUpdate({addBlockedBy})
  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

平台分布

Codex

36.47%
按下载量换算98

Claude

30.44%
按下载量换算82

Cursor

17.02%
按下载量换算46

Gemini CLI

9.79%
按下载量换算26

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

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 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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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