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Skills/larksuite/meegle-cli/meegle
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larksuite/meegle-cli
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Installation

npx skills add https://github.com/larksuite/meegle-cli --skill meegle

Summary

|

SKILL.md

飞书项目 (Meego/Meegle) 操作指南

本技能通过 Meegle CLI来操作飞书项目数据。输出语言跟随用户输入语言,默认中文。

各命令的调用示例见 references/api-examples.md。 授权流程(所有业务命令前必须执行):见 references/auth-guard.md CLI 使用指南(命令结构、参数传递、命令发现):见 references/cli-guide.md

---

Project 空间域

project search

搜索空间信息,将空间名转换为 project_key 或验证空间是否存在;省略 --project-key 时返回当前用户最近访问过的空间列表(按访问时间由近及远)。

参数类型必填说明
--project-keystring否空间 projectKey、simpleName 或空间名称;留空查询当前用户可访问的空间
--page-numnumber否分页页码,每页 50 条,从 1 开始

---

WorkItem 工作项域

元数据查询命令(workitem meta-types / workitem meta-fields / workitem meta-roles / workitem meta-create-fields)的参数表见 references/workitem.md。

workitem create

创建工作项实例。务必先用 workitem meta-fields 获取字段信息,workitem meta-roles 获取角色信息。模板 ID 是必填项。

参数类型必填说明
--work-item-typestring是工作项类型
--project-keystring否空间标识
--fieldsarray否字段值列表,每项含 field_key 和 field_value
--work-item-idstring否工作项资源库模板实例 ID;通过资源工作项创建普通工作项时必填
--ignore-requiredboolean否是否忽略字段必填校验;默认 false,谨慎使用
--ignore-role-calculateboolean否是否忽略角色计算;默认 false,谨慎使用

workitem get

按 ID/名称查询工作项概况。不传 fields 时返回固定基础字段加上一组默认带出的系统字段——实测包含 group_type 拉群方式、description、current_status_operator、watchers(即便 value 为 null 也会出现);其余字段需要通过 workitem meta-fields 拿到 key 后再传入 fields。

参数类型必填说明
--work-item-idstring是工作项 ID 或名称
--project-keystring否空间 key
--fieldsarray否要查询的 field_key 或 field_name;传 ["_all"] 时按逻辑字段分页返回全部字段;传 ["group_type"] 时只取拉群方式
--page-sizenumber否仅 fields=["_all"] 时生效;每页字段数量,默认 100,最大 200。meegle CLI 注意:直接传 --page-size N 会被序列化成字符串触发后端 need I64 type, but got: STRING;当前只能走 --params '{"page_size":N}' 让它以数字传出
--page-tokenstring否仅 fields=["_all"] 时生效;翻页 token,首次不传,下一页传上次响应的 next_page_token(token 形如字段 key,例如 "business");同上,meegle CLI 当前需要走 --params '{"page_token":"..."}'

逻辑字段聚合(重要心智模型):服务端把 group_id / chat_group 这类"拉群"相关的物理字段合并到一个逻辑字段 group_type。读取/更新统一走 group_type,不要再单独读取 group_id 或 chat_group。 ⚠️ 读写协议不对称:读返回结构里判别键是 value(不是 type),更新时判别键是 type——别照着读到的结构直接回写。 读返回(workitem_fields[].value 字段)的形状: - auto → {value: "auto", label: "自动拉群", group_id: "oc_xxx"}(自动拉群通常有 group_id;状态切换时 oc_id 可能会变) - bind → {value: "bind", label: "绑定现有群", group_id: "oc_xxx"} - disabled → {value: "disabled", label: "不拉群"}(无 group_id) 写协议(field_value 里的 JSON):{"type": "auto" | "bind" | "disabled", "group_id": "oc_xxx"}

workitem batch-get

批量查询工作项(Meegle CLI 客户端 fan-out:并发调用 workitem get)。单次 ≤ 200 个 ID,3 并发,返回 {results, errors, summary};ID 量大时用 --format ndjson 流式输出。

参数类型必填说明
--work-item-idsarray二选一工作项 ID 列表(逗号分隔或多次传入)
--ids-filestring二选一从文件读取 ID(一行一个,# 开头注释)
--fieldsarray否要查询的 field_key 列表
--project-keystring否空间 key

workitem update

修改指定实例的字段值或角色。节点字段更新请用 workflow update-node。

参数类型必填说明
--work-item-idstring是工作项 ID 或名称
--project-keystring否空间 key
--fieldsarray否要更新的字段列表,每项含 field_key 和 field_value
--role-operatearray否角色操作,每项含 op(add/remove)、role_key、user_keys

角色更新:不能通过 fields 更新角色,必须用 role_operate。role_key 通过 workitem meta-roles 获取,user_keys 通过 user search 获取。

拉群方式更新(group_type 逻辑字段):要修改/读取拉群方式统一走 group_type,不要再单独操作 group_id / chat_group。写协议 field_value 形如:{"type": "auto" | "bind" | "disabled", "group_id": "oc_xxx"}(注意写用 type 作为判别键,与读返回的 value 不对称)。校验规则(服务端实际报错文本):bind 不带 group_id 或带空串/纯空格 → group_id is required when group_type=bind;auto/disabled 同时带 group_id → group_type conflicts with group_id: type=<auto|disabled>。详细示例见 references/sop-update-workitem.md。

workitem query

使用 MQL 查询工作项数据。语法详见 references/mql-syntax.md。

参数类型必填说明
--project-keystring是空间标识(支持名称、simpleName、projectKey)
--mqlstring是(翻页时可用 session_id 替代)MQL 查询语句(完整 SQL)
--session-idstring否分页会话 ID,传入后不解析 MQL 直接翻页
--group-pagination-listarray否分组分页信息,首次查询可不传;翻页时传 [{ "group_id": "分组ID", "page_num": 页码 }]

分组分页:

  • --group-pagination-list 是数组,当前只支持传一组分页数据;元素结构为 { "group_id": string, "page_num": number }
  • group_id 取首查返回的 list[].group_infos[].group_id;无分组查询返回的默认分组 ID 为 "1",翻页时也传 "1"
  • page_num 从 1 开始;MQL 首查不传分页参数时默认返回第一页,单页最多 50 条。当前接口没有 page_size / page_token 子字段
  • 翻页时传首查返回的 session_id 和目标分组的分页参数;传 session_id 后后端不再解析 MQL,只按已有会话取对应分组页

要点:

  • 先用 workitem meta-fields / workitem meta-roles 获取字段与角色配置;查不到直接报错不要继续
  • SELECT 后属性不宜过多,优先使用字段 key(如 name、priority、status);返回按页返回,需全量时使用翻页参数

workitem list-op-records

查看工作项操作记录。

参数类型必填说明
--project-keystring是空间 key
--work-item-idstring是工作项 ID

---

Attachment 附件域

附件上传/下载分两步:先调 attachment prepare-upload / attachment prepare-download 申请带签名的对象存储 URL,再与对象存储做 HTTP 直连。Meegle CLI 提供 attachment +upload / attachment +download 一键封装。详细参数表与流程说明见 references/attachment.md。

---

WorkFlow 工作流域

流转辅助命令(workflow list-state-transitions / workflow list-state-required / workflow meta-node-fields)的参数表见 references/workflow.md。

workflow transition

仅用于节点流工作项,操作节点完成流转或回滚。

参数类型必填说明
--work-item-idstring是工作项 ID
--actionstring否confirm(流转) / rollback(回滚)
--node-idstring否节点 ID
--node-idsarray否节点名称或节点 ID 列表
--rollback-reasonstring否回滚原因,action=rollback 时需填写
--project-keystring否空间 key

workflow transition-state

仅用于状态流工作项,流转工作项状态。先用 workflow list-state-transitions 获取可流转状态及 transition_id。

参数类型必填说明
--work-item-idstring是工作项 ID
--transition-idstring否状态流转 ID,从 workflow list-state-transitions 获取
--project-keystring否空间 key

workflow get-node

获取工作项中指定节点或所有节点的完整详情。

参数类型必填说明
--work-item-idstring是工作项 ID 或名称
--node-id-listarray否节点 ID 列表,传空或 _all 获取所有节点
--field-key-listarray否节点字段 key,传空或 _all 获取所有字段
--need-sub-taskboolean否是否需要节点子项(子任务)
--page-numnumber否节点信息一次最多 20 个,按页返回
--project-keystring否空间 key

workflow update-node

修改节点(排期、负责人、自定义字段等)。排期/差异化排期/负责人不要同时修改,需分多次调用。

参数类型必填说明
--work-item-idstring是工作项 ID
--node-idstring是节点 ID(node_key)
--node-ownersarray否节点负责人 userkey 数组;清空传空数组 []
--node-scheduleobject否节点排期,格式 {"estimate_start_date":ms,"estimate_end_date":ms,"owners":[userkey],"points":数字};清空传 {};不变更则不传
--schedulesarray否按人差异化排期,每项细化到单个人的排期;清空某人则 estimate_start_date/estimate_end_date 传 null
--fieldsarray否节点自定义字段,每项含 field_key 和 field_value(STRING 协议,见「字段值格式」)
--project-keystring否空间 key

---

MyWork 工作台域

mywork todo

按 action 类型查询当前用户的工作项列表。无需 MQL 即可查询待办/已办。

参数类型必填说明
--actionstring是todo(待办)/done(已办)/overdue(逾期)/this_week(本周待办)
--page-numnumber是页码,从 1 开始,每页 50 条
--asset-keystring否工作区 key(格式 Asset_xxx),仅在报错需要选择时传

需完整结果时,从 page_num=1 连续翻页直到空为止。

---

WorkHour 工时域

工时记录查询(workhour list-records)的参数表见 references/misc.md。

workhour list-schedule

获取指定人员在时间区间内的排期与工作量明细。

参数类型必填说明
--project-keystring是空间 key
--user-keysarray是用户标识(名称/邮箱/userkey),每次最多 20 个
--start-timestring是开始时间,格式 YYYY-MM-DD
--end-timestring是结束时间,格式 YYYY-MM-DD,单次跨度最大 3 个月
--work-item-type-keysarray否工作项类型列表,查询所有传入 _all

调用约束:每次最多 20 人(多人拆批次并行);单次跨度 ≤ 3 个月(超出按月拆分);所有批次完成后再汇总,未完整获取前不得输出结论。

---

UserGroup 人员域

团队相关命令(team list / team list-members)的参数表见 references/misc.md。

user search

批量查询用户基础信息。用于将姓名/邮箱转换为 userkey。

参数类型必填说明
--user-keysarray是userKey、Email 或名字,最多 20 个
--project-keystring否空间 key
--need-all-statusboolean否是否返回所有状态用户;默认 false,仅返回在职用户

user me

查看当前用户信息。无需参数。

MQL 中可直接用 current_login_user() 函数,无需提前获取用户信息。如需获取当前用户的 userkey/姓名等详细信息,可用 user search 传入 current_login_user() 作为参数。

---

View 视图域

视图搜索与固定视图管理(view search / view create-fixed / view update-fixed)的参数表见 references/view.md。

view get

根据视图 ID 获取该视图下的工作项列表。

参数类型必填说明
--view-idstring是视图 ID
--project-keystring否空间 key
--page-numnumber否分页页数起点
--fieldsarray否要查询的字段

---

Comment 评论域

评论列表查询(comment list)的参数表见 references/misc.md。

comment add

添加评论。支持富文本 Markdown,语法详见 references/rich-text-editor-markdown-syntax.md(含 @提及、对齐、链接预览、字号/颜色等扩展语法)。

参数类型必填说明
--work-item-idstring是工作项 ID
--contentstring是评论内容

---

Deliverable 交付物域

单命令小域,参数表见 references/misc.md。

deliverable list

查看交付物详情及其根工作项 / 来源工作项。可按工作项 ID 列表过滤。

---

Resource 资源库

资源库(资源模板)管理。resource create 当前对应 MCP create_resource_work_item,用于创建资源实例;查看资源库的字段 / 角色配置用 resource meta-fields。详细参数表见 references/misc.md。

resource create

在已启用资源库的工作项类型下创建资源模板(资源实例)。创建前先调 resource meta-fields 取字段 / 角色配置。

语义边界:

  • 创建资源实例:work_item_type_key 是资源库启用的工作项类型;template_id 是该类型下的流程模板 ID/名称;fields / roles 是新资源实例自身的字段和角色。
  • 从资源实例创建普通工作项:不要把已有资源实例 ID 填到 work_item_type_key 或 template_id。必须以当前 resource create 的 inspect/schema 为准确认是否有源资源实例参数;若当前 schema 未暴露该参数,先向用户说明无法确认自动化参数,不要猜。

---

WBS 计划表

计划表(WBS)有 草稿(draft) 与 已发布实例(instance) 两套数据模型。常见编辑流程:wbs create-draft → 多次 wbs edit-draft → wbs publish-draft;放弃改动用 wbs reset-draft。详细参数表与 wbs edit-draft 的 operation 子类型见 references/wbs.md。

wbs list-draft-rows

在计划表草稿中按条件筛选行。常用筛选字段:wbs_name、wbs_parent_id、wbs_owner_in_charge、wbs_states_doing。详见 references/wbs.md。

wbs list-instance-rows

在已发布的线上计划表实例中按条件筛选行。参数同 wbs list-draft-rows。

wbs edit-draft

对计划表草稿执行一次原子编辑。一次调用只能传一个 operation_type,但该操作内部可通过 items / uuids 等数组承载单行或批量编辑;支持新增 / 删除 / 恢复 / 排序 / 改名 / 改负责人 / 改阶段 / 改排期 / 改估分 / 改实际工时等,结构见 references/wbs.md。

⚠️ 前置:草稿不存在时先调 wbs create-draft,再调 wbs edit-draft。判断方法:直接 wbs list-draft-rows 报"草稿不存在"类错误即视为缺失草稿。

wbs publish-draft

将编辑完成的草稿发布到线上。

⚠️ 全量发布前必须用固定话术二次确认:"本人及协同者的全部编辑内容均会被发布,请确认是否全量发布?";部分发布(传入 uuid_strings_list)无需二次确认。

---

其它低频域

度量图表、子任务、关系定义查询的命令参数表见 references/misc.md:

  • Chart 度量域 — chart get / chart list
  • SubTask 子任务域 — subtask update(create/update/confirm/rollback)
  • Relation 关系域 — relation list / relation meta-definitions
  • WBS 计划表 · 辅助命令 — wbs create-draft / wbs reset-draft / wbs get-draft-progress / wbs list-element-templates(见 references/wbs.md)

---

字段值格式(field_value)

🚨 STRING 协议:field_value 协议层固定为字符串。标量(text/number/bool/option_id/userkey/毫秒)直接作字符串;数组、对象必须先 JSON.stringify 再传,直接传会报 need STRING type, but got: LIST / MAP。 例:multi-user 正确写法为 "[\"7509072868295085608\"]",错误写法为 ["7509072868295085608"]。

字段类型语义field_value 传参(已按上述约定序列化)
template模板 ID(创建必填)"145405865" — 用 workitem meta-fields(field_keys=["template"]) 获取
text / multi-pure-text / link / bool / number单个字面值"测试工作项" / "100" / "true"
user单个 userkey"7509072868295085608"
multi-useruserkey 数组(stringified)"[\"7509072868295085608\",\"7509072868295085609\"]"
select / radio / tree-select枚举项 option_id"437794"
multi-selectoption_id 对象数组(stringified)"[{\"option_id\":\"111\"},{\"option_id\":\"222\"}]"
tree-multi-selectoption_id 字符串数组(stringified)"[\"id1\",\"id2\"]"
multi-text富文本 Markdown 字符串(语法详见 references/rich-text-editor-markdown-syntax.md)"加粗内容"
date毫秒时间戳(天精度)"1722182400000"
schedule[开始ms, 结束ms](stringified)"[1722182400000,1722355199999]"
precise_date对象(stringified)"{\"start_time\":1722182400000,\"end_time\":1722355199999}"
workitem_related_select关联工作项 ID"145405865"
workitem_related_multi_selectID 数组(stringified,数字元素)"[145405865,145405866]"
role_owners(仅创建时)角色-人员对象数组(stringified)"[{\"role\":\"RD\",\"owners\":[\"userkey1\"]}]"
signal纯字符串"true" / "false" / "null"

更新角色时不用 fields,用 workitem update 的 role_operate 参数。

关联工作项字段(workitem_related_*)

用户提供名称而非 ID 时,需按名称→ID 转换流程(搜目标空间+类型,消歧,写入格式,防循环引用):详见 references/field-value-extras.md。

---

常用场景速查

场景命令(注意点)
空间名 → project_keyproject search
查类型 / 字段 / 角色workitem meta-types / workitem meta-fields / workitem meta-roles
人名 → userkeyuser search(批量 ≤20)
当前用户user me;MQL 内可直接 current_login_user()
条件查询 / 个人待办workitem query(MQL) / mywork todo
团队排期workhour list-schedule(≤20 人、≤3 月)
创建 / 修改工作项workitem create / workitem update(字段 fields,角色 role_operate)
节点流转 / 状态流转workflow transition(confirm/rollback) / workflow transition-state(先 workflow list-state-transitions)
视图数据view get

通用规范

请求处理流程

收到用户输入后依次执行:

  1. 参数提取:从自然语言中提取空间名、工作项类型、时间、人员、筛选条件;含 URL 时先调 url decode 解析,按 references/url-kinds.md 的 url_kind 分支决定进入哪个 SOP 或拒绝。禁止自己从 URL 截取路径段作参数。注意区分空间名与筛选维度(如「XX空间下YY业务线的缺陷」中 XX 才是空间名)。
  1. 参数确认(禁止猜测):用探测命令校验空间(project search)、类型(workitem meta-types)、人员(user search)。探测结果不唯一时必须展示并询问用户,禁止自行选择;缺失必填合并为一条消息询问。个人待办(mywork todo)可跳过;URL 经 url decode 拿到 simple_name 后仍需 project search 转权威 project_key(同名空间可能有多个无权限)。
  1. 元数据收集(无需用户参与):调用 workitem meta-fields 获取字段定义(需要特定字段用 field_keys,模糊查询用 field_query);涉及角色时并行调 workitem meta-roles。关键字段识别:状态字段 type=_work_item_status(含「完成/关闭/终止」的值为完成态)、排期字段 type=schedule(MQL 用 __字段名_开始时间 / __字段名_结束时间)、优先级字段 key=priority。简单直调场景(仅需 project_key + work_item_id,如 comment add)可跳过本步。
  1. 执行:调用目标命令,遵循 references/performance.md 的并行/翻页规则。

并行与大结果

详见 references/performance.md:并行调用(必须串行的链路、可并行的组合)、大结果分批与翻页规则。

错误处理

总则:失败后从返回的 err_msg / inner_err 中提取错误原因,针对性修正后重试;最多自动重试 2 次,连续 3 次同类失败后停止并向用户说明。

熔断条件(立即终止,禁止盲目重试):

  • 空间未找到(project search 连续 3 次失败)
  • Permission Denied(当前用户对该空间无访问权限)

详细自愈规则与错误速查表(涵盖字段格式、节点流转、人员转换等常见报错)见 references/error-handling.md。

---

操作指南(SOP)

具体操作的完整流程、字段转换和自愈机制见对应 SOP:

  • 创建工作项 — 创建需求、任务、缺陷
  • 更新工作项 — 修改字段、更新角色、追加内容
  • 流转节点(节点流) — 完成/回滚节点、批量流转
  • 流转状态(状态流) — 流转缺陷/issue、关闭 bug

Score

0–100
55/ 100

Grade

C

Popularity15/30

1,149 installs — growing adoption.

Completeness19/30

Documented: full SKILL.md body, one-line install. Missing: description, category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Meegle skill score badge previewScore badge

Markdown

[![Meegle skill](https://www.claudemarket.ai/skills/larksuite/meegle-cli/meegle/badges/score.svg)](https://www.claudemarket.ai/skills/larksuite/meegle-cli/meegle)

HTML

<a href="https://www.claudemarket.ai/skills/larksuite/meegle-cli/meegle"><img src="https://www.claudemarket.ai/skills/larksuite/meegle-cli/meegle/badges/score.svg" alt="Meegle skill"/></a>

Meegle FAQ

How do I install the Meegle skill?

Run “npx skills add https://github.com/larksuite/meegle-cli --skill meegle” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Meegle skill do?

| The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Meegle skill free?

Yes. Meegle is a free, open-source skill published from larksuite/meegle-cli. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Meegle work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Meegle works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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