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Lark Im

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liangdabiao
lark-im

飞书即时通讯:收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员时使用。

Overview

Publisherliangdabiao
Repositorylark-workflow-feishu-cli
Skill namelark-im
Stars
68
Forks
10
Bundled files
12
Links
  • 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.

  • 12 bundled files

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

  • Open source

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

Installation

Install the Lark Im 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.
    https://github.com/liangdabiao/lark-workflow-feishu-cli/tree/main/.claude/skills/lark-im
  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/liangdabiao/lark-workflow-feishu-cli.git /tmp/lark-workflow-feishu-cli
mkdir -p .claude/skills
cp -r /tmp/lark-workflow-feishu-cli/.claude/skills/lark-im .claude/skills/lark-im
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lark Im 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 Im 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 Im 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.

im (v1)

CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md,其中包含认证、权限处理

Core Concepts

  • Message: A single message in a chat, identified by message_id (om_xxx). Supports types: text, post, image, file, audio, video, sticker, interactive (card), share_chat, share_user, merge_forward, etc.
  • Chat: A group chat or P2P conversation, identified by chat_id (oc_xxx).
  • Thread: A reply thread under a message, identified by thread_id (om_xxx or omt_xxx).
  • Reaction: An emoji reaction on a message.

Resource Relationships

Chat (oc_xxx)
├── Message (om_xxx)
│   ├── Thread (reply thread)
│   ├── Reaction (emoji)
│   └── Resource (image / file / video / audio)
└── Member (user / bot)

Important Notes

Identity and Token Mapping

  • --as user means user identity and uses user_access_token. Calls run as the authorized end user, so permissions depend on both the app scopes and that user's own access to the target chat/message/resource.
  • --as bot means bot identity and uses tenant_access_token. Calls run as the app bot, so behavior depends on the bot's membership, app visibility, availability range, and bot-specific scopes.
  • If an IM API says it supports both user and bot, the token type changes who the operator is. The same API can succeed with one identity and fail with the other because owner/admin status, chat membership, tenant boundary, or app availability are checked against the current caller.

Sender Name Resolution with Bot Identity

When using bot identity (--as bot) to fetch messages (e.g. +chat-messages-list, +threads-messages-list, +messages-mget), sender names may not be resolved (shown as open_id instead of display name). This happens when the bot cannot access the user's contact info.

Root cause: The bot's app visibility settings do not include the message sender, so the contact API returns no name.

Solution: Check the app's visibility settings in the Lark Developer Console — ensure the app's visible range covers the users whose names need to be resolved. Alternatively, use --as user to fetch messages with user identity, which typically has broader contact access.

Card Messages (Interactive)

Card messages (interactive type) are not yet supported for compact conversion in event subscriptions. The raw event data will be returned instead, with a hint printed to stderr.

Shortcuts(推荐优先使用)

Shortcut 是对常用操作的高级封装(lark-cli im +<verb> [flags])。有 Shortcut 的操作优先使用。

Shortcut说明
+chat-createCreate a group chat with bot identity; bot-only; creates private/public chats, invites users/bots, optionally sets bot manager
+chat-messages-listList messages in a chat or P2P conversation; user/bot; accepts --chat-id or --user-id, resolves P2P chat_id, supports time range/sort/pagination
+chat-searchSearch visible group chats by keyword and/or member open_ids (e.g. look up chat_id by group name); user/bot; supports member/type filters, sorting, and pagination
+chat-updateUpdate group chat name or description; user/bot; updates a chat's name or description
+messages-mgetBatch get messages by IDs; user/bot; fetches up to 50 om_ message IDs, formats sender names, expands thread replies
+messages-replyReply to a message (supports thread replies) with bot identity; bot-only; supports text/markdown/post/media replies, reply-in-thread, idempotency key
+messages-resources-downloadDownload images/files from a message; user/bot; downloads image/file resources by message-id and file-key to a safe relative output path
+messages-searchSearch messages across chats (supports keyword, sender, time range filters) with user identity; user-only; filters by chat/sender/attachment/time, enriches results via mget and chats batch_query
+messages-sendSend a message to a chat or direct message with bot identity; bot-only; sends to chat-id or user-id with text/markdown/post/media, supports idempotency key
+threads-messages-listList messages in a thread; user/bot; accepts om_/omt_ input, resolves message IDs to thread_id, supports sort/pagination

API Resources

bash
lark-cli schema im.<resource>.<method>   # 调用 API 前必须先查看参数结构
lark-cli im <resource> <method> [flags] # 调用 API

重要:使用原生 API 时,必须先运行 schema 查看 --data / --params 参数结构,不要猜测字段格式。

chats

  • create — 创建群。Identity: bot only (tenant_access_token).
  • get — 获取群信息。Identity: supports user and bot; the caller must be in the target chat to get full details, and must belong to the same tenant for internal chats.
  • link — 获取群分享链接。Identity: supports user and bot; the caller must be in the target chat, must be an owner or admin when chat sharing is restricted to owners/admins, and must belong to the same tenant for internal chats.
  • list — 获取用户或机器人所在的群列表。Identity: supports user and bot.
  • update — 更新群信息。Identity: supports user and bot.

chat.members

  • create — 将用户或机器人拉入群聊。Identity: supports user and bot; the caller must be in the target chat; for bot calls, added users must be within the app's availability; for internal chats the operator must belong to the same tenant; if only owners/admins can add members, the caller must be an owner/admin, or a chat-creator bot with im:chat:operate_as_owner.
  • get — 获取群成员列表。Identity: supports user and bot; the caller must be in the target chat and must belong to the same tenant for internal chats.

messages

  • delete — 撤回消息。Identity: supports user and bot; for bot calls, the bot must be in the chat to revoke group messages; to revoke another user's group message, the bot must be the owner, an admin, or the creator; for user P2P recalls, the target user must be within the bot's availability.
  • forward — 转发消息。Identity: bot only (tenant_access_token).
  • merge_forward — 合并转发消息。Identity: bot only (tenant_access_token).
  • read_users — 查询消息已读信息。Identity: bot only (tenant_access_token); the bot must be in the chat, and can only query read status for messages it sent within the last 7 days.

reactions

  • batch_query — 批量获取消息表情。Identity: supports user and bot.Must-read
  • create — 添加消息表情回复。Identity: supports user and bot; the caller must be in the conversation that contains the message.Must-read
  • delete — 删除消息表情回复。Identity: supports user and bot; the caller must be in the conversation that contains the message, and can only delete reactions added by itself.Must-read
  • list — 获取消息表情回复。Identity: supports user and bot; the caller must be in the conversation that contains the message.Must-read

images

  • create — 上传图片。Identity: bot only (tenant_access_token).

pins

  • create — Pin 消息。Identity: supports user and bot.
  • delete — 移除 Pin 消息。Identity: supports user and bot.
  • list — 获取群内 Pin 消息。Identity: supports user and bot.

权限表

方法所需 scope
chats.createim:chat:create
chats.getim:chat:read
chats.linkim:chat:read
chats.listim:chat:read
chats.updateim:chat:update
chat.members.createim:chat.members:write_only
chat.members.getim:chat.members:read
messages.deleteim:message:recall
messages.forwardim:message
messages.merge_forwardim:message
messages.read_usersim:message:readonly
reactions.batch_queryim:message.reactions:read
reactions.createim:message.reactions:write_only
reactions.deleteim:message.reactions:write_only
reactions.listim:message.reactions:read
images.createim:resource
pins.createim:message.pins:write_only
pins.deleteim:message.pins:write_only
pins.listim:message.pins:read

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 Im AI skill do?

飞书即时通讯:收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员时使用。

Why use Lark Im on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/liangdabiao/lark-workflow-feishu-cli/tree/main/.claude/skills/lark-im. 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 Im?

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 Im?

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

Is the Lark Im AI skill free?

It is published on GitHub by liangdabiao. Check the repository for licensing terms. 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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