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Lark Contact

OrganizationPopular
larksuite
lark-contact

飞书 / Lark 通讯录:按姓名 / 邮箱解析成 open_id,或按 open_id 反查姓名 / 部门 / 邮箱 / 联系方式 / 个人状态 / 签名,以及按关键词搜索当前用户可见的机器人 / 智能体(agent)。当用户提到一个名字要下一步发消息 / 排日程,或拿到 open_id 想查具体信息时使用。不负责部门树遍历、按部门列员工、组织架构图,这类需求走原生 OpenAPI。

Overview

Publisherlarksuite
Repositorycli
Skill namelark-contact
Stars
17.3K
Forks
1.4K
Bundled files
3
LicenseMIT
Links
Skill sourceRepository
  • 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 larksuite on GitHub. Read the source before you install it.

Installation

Install the Lark Contact 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/larksuite/cli.git /tmp/cli
mkdir -p .claude/skills
cp -r /tmp/cli/skills/lark-contact .claude/skills/lark-contact
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lark Contact 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 Lark Contact 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 Lark Contact 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.

选哪个命令

user 身份和 bot 身份是两条完全独立的路径。先确定当前身份,再按下表选命令:

想做什么user 身份bot 身份
按姓名 / 邮箱搜员工拿 open_id+search-user不支持
按关键词搜索当前用户可见的机器人 / 智能体+search-bot不支持
已知 open_id 取他人资料+search-user --user-ids <id>+get-user --user-id <id>
查看自己+get-user 或 +search-user --user-ids me不支持
查同事的个人状态 / 签名user_profiles batch_query不支持

已知 open_id 只是想发消息 / 排日程,不必经过 contact —— 直接 lark-im / lark-calendar。

名字没说清是人还是机器人 / 智能体

用户给的名字常常不表明类型。例如「和 reviewDuck 约个会」里的 reviewDuck 可能是同事昵称,也可能是机器人。

  • 名字含 bot / agent / AI / 助手 / 机器人 / 智能体 / assistant 等明显特征时,反过来先搜机器人更快
  • 不确定的话两边都搜一下

典型场景

找张三给他发消息:先搜,确认 open_id,再发:

bash
lark-cli contact +search-user --query "张三" --has-chatted --as user
lark-cli im +messages-send --user-id ou_xxx --text "Hi!"

批量查同事的个人状态 / 个性签名(先用 schema 看参数)。

bash
lark-cli schema contact.user_profiles.batch_query
lark-cli contact user_profiles batch_query \
  --params '{"user_id_type":"open_id"}' \
  --data '{"user_ids":["ou_xxx","ou_yyy"],"query_option":{"include_personal_status":true,"include_description":true}}' \
  --as user

搜索命中多条且后续操作有副作用(发消息、邀请会议等),把候选列给用户挑;不要擅自选第一条。

搜索机器人 / 智能体

+search-bot 使用 user 身份按关键词搜索当前用户可见的机器人,返回 ou_ 开头的机器人 open_id。参数细节等见 lark-contact-search-bot.md。

bash
lark-cli contact +search-bot --query '会议助手' --as user
lark-cli contact +search-bot --queries '会议助手,日报助手,审批助手' --as user

注意事项

  • 41050 / Permission denied 受当前身份的可见范围限制(三条命令都可能遇到)。细节见 lark-shared。
  • 跨租户用户(is_cross_tenant=true)多数业务字段为空字符串,这是飞书可见性规则,下游做空值兜底。
  • ID 类型:+get-user 可通过 --user-id-type 使用 open_id、union_id 或 user_id;+search-user 使用用户 open_id;+search-bot 不支持按 ID 查询,它按关键词搜索并返回机器人 open_id。

不在本 skill 范围

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 Lark Contact AI skill do?

飞书 / Lark 通讯录:按姓名 / 邮箱解析成 open_id,或按 open_id 反查姓名 / 部门 / 邮箱 / 联系方式 / 个人状态 / 签名,以及按关键词搜索当前用户可见的机器人 / 智能体(agent)。当用户提到一个名字要下一步发消息 / 排日程,或拿到 open_id 想查具体信息时使用。不负责部门树遍历、按部门列员工、组织架构图,这类需求走原生 OpenAPI。

Why use Lark Contact on TypingMind?

Because you install it once and use it with any model. Lark Contact 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 Lark Contact in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/larksuite/cli/tree/main/skills/lark-contact. 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 Lark Contact?

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 Lark Contact?

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

Is the Lark Contact AI skill free?

Yes. It is published on GitHub by larksuite 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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