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Openakita/Skills@Feishu Cli

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openakita
openakita/skills@feishu-cli

Feishu/Lark CLI - official open-source CLI tool from Feishu for AI Agents. Provides 200+ commands across 12 business domains: IM, Docs, Sheets, Base (Bitable), Calendar, Video Meeting, Mail, Tasks, Wiki, Drive, Contacts, Search. Supports both user identity and bot identity authentication. Use when user wants to operate Feishu/Lark resources.

Overview

Publisheropenakita
Repositoryopenakita
Skill nameopenakita/skills@feishu-cli
Stars
2K
Forks
277
Bundled files
3
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by openakita on GitHub. Read the source before you install it.

Installation

Install the Openakita/Skills@Feishu Cli AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/openakita/openakita.git /tmp/openakita
mkdir -p .claude/skills
cp -r /tmp/openakita/skills/feishu-cli .claude/skills/openakita-openakita-skills-feishu-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openakita/Skills@Feishu Cli in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Openakita/Skills@Feishu Cli on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Openakita/Skills@Feishu Cli is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

飞书 CLI (lark-cli)

飞书官方开源的命令行工具，为 AI Agent 提供连接飞书业务系统的标准化执行入口。安装后 Agent 可以直接读消息、查日历、写文档、建多维表格、发邮件，把任务真正落到飞书里完成。

官方 GitHub: https://github.com/larksuite/cli （7.3k+ Stars） 官方介绍: https://www.feishu.cn/content/article/7623291503305083853 npm: https://www.npmjs.com/package/@larksuite/cli

安装

bash
# 第一步：安装 lark-cli
npm install -g @larksuite/cli

# 第二步：安装相关 Skills
npx skills add https://github.com/larksuite/cli -y -g

# 第三步：初始化应用配置（默认创建新应用，也可选已有应用）
lark-cli config init --new

安装完成后需重启 AI Agent 工具，确保 skills 完整加载。

认证

飞书 CLI 支持两种工作模式：

应用身份（Bot）

不需要用户授权即可使用。AI 可执行发消息、创建文档等操作，但无法访问用户个人数据（如日程、私信、收件箱）。只需在飞书开发者后台开通对应 scope。

用户身份（User）

AI 可以访问用户的个人日历、消息、文档，并以用户名义执行操作。需要完成一次用户授权：

bash
lark-cli auth login

执行后打开链接在飞书中确认即可。后续 AI 在需要访问个人数据时也会自动发起授权提示。

身份选择原则

  • Bot 看不到用户资源（日历、云空间文档、邮箱等）
  • Bot 无法代表用户操作
  • 涉及个人数据的操作必须使用 User 身份

权限不足处理

  • Bot 身份：将 console_url 提供给用户，去后台开通 scope
  • User 身份：lark-cli auth login --scope "missing_scope"

核心业务域

业务域核心能力
消息与群组搜索消息和群聊、发送消息、回复话题
云文档创建文档、读取内容、更新正文、评论协作
云空间上传下载文件、管理权限、处理评论
电子表格创建表格、读写单元格、批量更新
多维表格管理数据表、字段、记录、视图、仪表盘、自动化
日历查询日程、创建会议、查询忙闲、推荐时间
视频会议搜索会议、获取纪要和逐字稿、关联日程文档
邮箱搜索、读取、起草、发送、回复、归档邮件
任务创建任务、更新状态、管理清单和子任务
知识库查询空间、管理节点和文档层级
通讯录查询用户、搜索同事、查看部门
搜索搜索群聊、消息、文档等

典型使用场景

会议待办自动执行

读取妙记逐字稿，提取待办事项，自动帮用户创建文档、发送消息、预约会议。

人与 AI 共创文档

AI 在飞书文档里直接创建初稿，用户用评论提修改意见，AI 读取评论修改正文，持续迭代。也可反过来让 AI 当审稿人用评论提意见。支持 Markdown 与飞书文档双向转换。

跨时区多人智能约会

AI 自动拉群成员、查每个人的日历空闲、考虑所有人时区，推荐合适的会议时间。

日历审计到多维表格仪表盘

拉取日历数据，给会议打标签分类，写入多维表格生成仪表盘，可视化时间分配。

未读邮件智能分类

AI 定期扫描未读邮件，按优先级分类，重要邮件摘要推送到群聊，低优先级自动归档。

验证安装

bash
lark-cli help          # 查看命令总览
lark-cli auth status   # 查看当前登录状态

安全规则

  • 禁止输出密钥（appSecret、accessToken）到终端明文
  • 写入/删除操作前必须确认用户意图
  • 用 --dry-run 预览危险请求

更新

lark-cli 命令执行后如检测到新版本，输出中会包含 _notice.update 字段。更新命令：

bash
npm update -g @larksuite/cli && npx skills add larksuite/cli -g -y

支持国际版 Lark

通过 lark-cli config init 并配置国际版 Lark 的应用即可使用。

预置脚本

scripts/setup.py

飞书 lark-cli 安装配置脚本。

bash
python3 scripts/setup.py

scripts/feishu_quick.py

飞书常用操作快捷脚本。

bash
python3 scripts/feishu_quick.py send-msg --receive-id xxx --content "Hello"
python3 scripts/feishu_quick.py list-chats
python3 scripts/feishu_quick.py create-doc --folder-token xxx --title "新文档"
python3 scripts/feishu_quick.py list-events --calendar-id xxx
python3 scripts/feishu_quick.py create-task --summary "待办事项"

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Openakita/Skills@Feishu Cli AI skill do?

Feishu/Lark CLI - official open-source CLI tool from Feishu for AI Agents. Provides 200+ commands across 12 business domains: IM, Docs, Sheets, Base (Bitable), Calendar, Video Meeting, Mail, Tasks, Wiki, Drive, Contacts, Search. Supports both user identity and bot identity authentication. Use when user wants to operate Feishu/Lark resources.

Why use Openakita/Skills@Feishu Cli on TypingMind?

Because you install it once and use it with any model. Openakita/Skills@Feishu Cli is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Openakita/Skills@Feishu Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openakita/openakita/tree/main/skills/feishu-cli. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Openakita/Skills@Feishu Cli?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Openakita/Skills@Feishu Cli?

As many as you like. As long as a model supports skills, you can use Openakita/Skills@Feishu Cli with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Openakita/Skills@Feishu Cli AI skill free?

Yes. It is published on GitHub by openakita under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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