Token导航 LogoToken导航

Agent Skill · 研究检索

long-task-coordinator(长任务协调员)

long-task-coordinator 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。

long-task-coordinator 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 13,492。

总安装 9,335周安装 374GitHub Stars 47下载 3,022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:long-task-coordinator(长任务协调员)
来源仓库:https://github.com/charon-fan/agent-playbook
仓库路径:skills/long-task-coordinator
安装命令:
npx skills add https://github.com/charon-fan/agent-playbook --skill long-task-coordinator
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/charon-fan/agent-playbook --skill long-task-coordinator

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。

long-task-coordinator 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、任务场景快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装使用。

安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/long-task-coordinator

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/charon-fan/agent-playbook --skill long-task-co…;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

long-task-coordinator 怎么安装?

在终端执行 npx skills add https://github.com/charon-fan/agent-playbook --skill long-task-coordinator。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

long-task-coordinator 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。

long-task-coordinator 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/charon-fan/agent-playbook --skill long-task-coordinator 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。

long-task-coordinator 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。

long-task-coordinator 用的人多吗?

公开数据是累计安装 9,335 次,近一周安装 374 次,下载 3,022 次,GitHub 47 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。

long-task-coordinator 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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
long-task-coordinator

长任务协调员 · 本页

9,33547执行命令未明确通过

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

Long Task Coordinator

Keep long-running work recoverable, stateful, and honest.

When to Use This Skill

Use this skill when the work:

  • Spans multiple turns or multiple sessions
  • Involves handoffs to workers, subagents, or background jobs
  • Needs explicit waiting states instead of "still looking" updates
  • Must survive interruption and resume from a durable state file

Skip this skill for small, single-turn tasks. Use planning-with-files when simple planning is enough and recovery logic is not the main concern.

Related Skills

  • planning-with-files keeps multi-step work organized in files.
  • workflow-orchestrator chains follow-up skills after milestones.
  • long-task-coordinator makes long-running work resumable, auditable, and safe to hand off.

Core Rules

1. Create one source of truth

For any real long task, maintain one durable state file. Chat history is not a reliable state store.

The state file should capture at least:

  • Goal
  • Success criteria
  • Current status
  • Current step
  • Completed work
  • Next action
  • Next checkpoint
  • Blockers
  • Active owners or workers

2. Separate roles only when needed

Use the smallest role model that fits the task:

  • Origin: owns the goal and acceptance criteria
  • Coordinator: owns state, sequencing, and recovery
  • Worker: executes bounded sub-work
  • Watchdog: checks liveness and recovery only

Simple tasks can collapse these roles into one agent. Long or delegated tasks should make the split explicit.

3. Run every cycle in this order

For each coordination round:

READ -> RECOVER -> DECIDE -> PERSIST -> REPORT -> END

Do not report conclusions before the state file has been updated.

4. Treat awaiting-result as a valid state

If a worker or background job was dispatched successfully, the task is not failing just because the result is not back yet.

Valid transitions include:

  • running -> awaiting-result
  • awaiting-result -> running
  • running -> paused
  • running -> complete

5. Non-terminal rounds must create real progress

A coordination round is only valid if it does at least one of the following:

  • Dispatches bounded work
  • Consumes new results
  • Updates the current stage or decision
  • Persists a new next step or checkpoint
  • Performs explicit recovery

If nothing changed, do not pretend the task advanced.

6. Keep recovery separate from domain work

Recovery answers:

  • Did execution drift from the saved state?
  • Is the expected worker result still pending?
  • Do we need to wait, retry, or re-dispatch?

Domain work answers:

  • What should we build, analyze, or deliver next?

Recover first, then continue domain work.

Operating Workflow

Step 1: Decide whether the task needs coordination

Use this skill when at least one is true:

  • The task will outlive the current turn
  • The task will hand off work to another execution unit
  • The task needs checkpoints, polling, or scheduled follow-up
  • The task has enough complexity that loss of state would be expensive

Step 2: Create or load the state file

Prefer a path that is easy to rediscover, such as:

  • docs/<topic>-execution-plan.md
  • docs/<topic>-state.md
  • worklog/<topic>-state.md

If no durable state exists yet, create one from references/workflow.md.

Step 3: Recover before acting

At the start of every new round:

  1. Read the state file
  2. Check whether the recorded next step still makes sense
  3. Confirm whether any delegated work returned
  4. Repair stale assumptions before new action

Step 4: Persist before reporting

After deciding the next action:

  1. Update the state file
  2. Record new status, owners, blockers, and checkpoint
  3. Only then report progress to the user or caller

Step 5: Close the round honestly

End each round with one of these states:

  • running
  • awaiting-result
  • paused
  • blocked
  • complete

The reported status should match the persisted status exactly.

Output Expectations

When using this skill, produce updates that are grounded in saved state:

  • What status the task is in now
  • What changed this round
  • What is expected next
  • What would unblock or complete the task

Acceptance Criteria

Treat the coordination work as complete only when all relevant items below are true:

  • A durable state file exists in a predictable path
  • The saved status matches the real task state
  • Completed work, next action, and blockers are recorded explicitly
  • Any delegated work has a named owner and a return condition
  • The final report is derived from the persisted state, not from transient reasoning

If the task is not truly complete, end in running, awaiting-result, paused, or blocked rather than pretending the work is done

Anti-Patterns

Avoid:

  • Reconstructing progress from memory instead of the state file
  • Reporting a conclusion before saving it
  • Marking waiting as failure
  • Ending a round with no new action and no state change
  • Mixing recovery checks with domain decisions in one fuzzy step

References

  • references/workflow.md - Detailed workflow, state template, and recovery checklist

平台分布

Codex

36.26%
按下载量换算1,096

Claude

29.51%
按下载量换算892

Cursor

19.02%
按下载量换算575

Gemini CLI

8.24%
按下载量换算249

安全审计

Gen Agent Trust Hub

通过

Socket

通过

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/charon-fan/agent-playbook --skill long-task-coordinator 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。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills