Feishu Doc
openclaw/openclaw
Feishu document read/write workflows. An agent skill from openclaw/openclaw.
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（支持大文件分片下载）、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、搜索群、创建群聊或话题群、管理标记数据时使用。
Install Lark Im
$ npx skills add appleweiping/WEIPING_WIKI --skill lark-im -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install appleweiping/WEIPING_WIKI lark-im --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skill/lark-im .claude/skills/lark-im && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "lark-im" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-im into .claude/skills/lark-im/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-im", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-imType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add appleweiping/WEIPING_WIKI --skill lark-im -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install appleweiping/WEIPING_WIKI lark-im --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skill/lark-im .agents/skills/lark-im && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lark-im" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-im into .agents/skills/lark-im/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-im", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add appleweiping/WEIPING_WIKI --skill lark-im -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install appleweiping/WEIPING_WIKI lark-im --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skill/lark-im .cursor/skills/lark-im && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "lark-im" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-im into .cursor/skills/lark-im/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-im", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/appleweiping/WEIPING_WIKI.git --path skill/lark-im--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add appleweiping/WEIPING_WIKI --skill lark-im -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install appleweiping/WEIPING_WIKI lark-im --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skill/lark-im .gemini/skills/lark-im && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "lark-im" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-im into .gemini/skills/lark-im/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-im", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install appleweiping/WEIPING_WIKI lark-imInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add appleweiping/WEIPING_WIKI --skill lark-im -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .github/skills && cp -r skills-src/skill/lark-im .github/skills/lark-im && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "lark-im" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-im into .github/skills/lark-im/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-im", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add appleweiping/WEIPING_WIKI --skill lark-im -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install appleweiping/WEIPING_WIKI lark-im --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skill/lark-im .opencode/skills/lark-im && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "lark-im" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-im into .opencode/skills/lark-im/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-im", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
lark-im- GitHub stars
- 119
- Token cost
- ~2.6k tokens
- SKILL.md length
- 1,114 words
- Files
- 17 (incl. references)
- Skills in repo
- 51
- Repo updated
- First seen
- Licence
- MIT
At a glance
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（支持大文件分片下载）、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、搜索群、创建群聊或话题群、管理标记数据时使用。
- Tasks that involve Messaging and chat bots
- SKILL.md covers Core Concepts, Resource Relationships, Important Notes and Shortcuts（推荐优先使用）, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Lark Im is an agent skill from appleweiping/WEIPING_WIKI. 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（支持大文件分片下载）、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、搜索群、创建群聊或话题群、管理标记数据时使用。
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including reference files (for example `references/lark-im-chat-create.md`, `references/lark-im-chat-identity.md` and `references/lark-im-chat-list.md`).
It sits in Productivity & Automation, covering Messaging and chat bots. The repository describes itself as: knowledge base managed with an LLM workflow. The licence is MIT.
When your agent uses it
- Tasks that involve Messaging and chat bots
Example prompts
- “/lark-im”
What it can do on your machine
Read from SKILL.md and the folder at commit 76fdc42. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Lark Im loads about 2.6k tokens when it runs, and up to ~28k if it reads all its reference files. Until then it costs about 33 tokens; SKILL.md has 1,114 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from appleweiping/WEIPING_WIKI at commit 76fdc42, republished under its MIT licence (© appleweiping). 1,114 words, ~2,614 tokens.
Download SKILL.mdSave it as
.claude/skills/lark-im/SKILL.md (or your agent's skills folder). This skill also uses 16 other files; get the full folder from GitHub.- name
- lark-im
- description
- 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（支持大文件分片下载）、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、搜索群、创建群聊或话题群、管理标记数据时使用。
- metadata.cliHelp
- lark-cli im --help
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.
- Flag: A bookmark on a message or thread.
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 usermeans user identity and usesuser_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 botmeans bot identity and usestenant_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
userandbot, 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.
Flag Types
Flags support two layers:
- Message-layer flag:
(ItemTypeDefault, FlagTypeMessage)— regular message bookmark - Feed-layer flag:
(ItemTypeThread/ItemTypeMsgThread, FlagTypeFeed)— thread as feed-layer bookmark
Item types for feed-layer flags:
- ItemTypeThread (4) = thread in a topic-style chat
- ItemTypeMsgThread (11) = thread in a regular chat
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-create | Create a group chat or topic chat; user/bot; --chat-mode group |
+chat-list | List groups the current user/bot is a member of; user/bot; supports sorting, pagination, and --exclude-muted (user identity only) |
+chat-messages-list | List 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-search | Search visible group chats by --query keyword and/or --member-ids; user/bot; e.g. look up chat_id by group name; supports type filters, sorting, pagination, and --exclude-muted (user identity only) |
+chat-update | Update group chat name or description; user/bot; updates a chat's name or description |
+messages-mget | Batch get messages by IDs; user/bot; fetches up to 50 om_ message IDs, formats sender names, expands thread replies |
+messages-reply | Reply to a message (supports thread replies); user/bot; supports text/markdown/post/media replies, reply-in-thread, idempotency key |
+messages-resources-download | Download images/files from a message; user/bot; supports automatic chunked download for large files (8MB chunks), auto-detects file extension from Content-Type |
+messages-search | Search messages across chats (supports keyword, sender, time range filters) with user identity; user-only; filters by chat/sender/attachment/time, supports auto-pagination via --page-all / --page-limit, enriches results via batched mget and chats batch_query |
+messages-send | Send a message to a chat or direct message; user/bot; sends to chat-id or user-id with text/markdown/post/media, supports idempotency key |
+threads-messages-list | List messages in a thread; user/bot; accepts om_/omt_ input, resolves message IDs to thread_id, supports sort/pagination |
+flag-create | Create a bookmark on a message or thread; user-only; defaults to message-layer flag; feed-layer flag requires explicit --item-type + --flag-type |
+flag-cancel | Cancel (remove) a bookmark. When no --flag-type is given, checks if the message is a thread root message; if so, cancels both message and feed layers |
+flag-list | List bookmarks; user-only; auto-enriches feed-type thread entries with message content; supports --page-all auto-pagination |
API Resources
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。
Show full SKILL.md (442 more words)Show less
chats
create— 创建群。Identity:botonly (tenant_access_token).get— 获取群信息。Identity: supportsuserandbot; 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: supportsuserandbot; 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.update— 更新群信息。Identity: supportsuserandbot.
chat.members
bots— 获取群内机器人列表。Identity: supportsuserandbot; the caller must be in the target chat and must belong to the same tenant for internal chats.create— 将用户或机器人拉入群聊。Identity: supportsuserandbot; the caller must be in the target chat; forbotcalls, 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 withim:chat:operate_as_owner.delete— 将用户或机器人移出群聊。Identity: supportsuserandbot; only group owner, admin, or creator bot can remove others; max 50 users or 5 bots per request.get— 获取群成员列表。Identity: supportsuserandbot; 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: supportsuserandbot; forbotcalls, 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: supportsuserandbot.merge_forward— 合并转发消息。Identity:botonly (tenant_access_token).read_users— 查询消息已读信息。Identity:botonly (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: supportsuserandbot.Must-readcreate— 添加消息表情回复。Identity: supportsuserandbot; the caller must be in the conversation that contains the message.Must-readdelete— 删除消息表情回复。Identity: supportsuserandbot; the caller must be in the conversation that contains the message, and can only delete reactions added by itself.Must-readlist— 获取消息表情回复。Identity: supportsuserandbot; the caller must be in the conversation that contains the message.Must-read
threads
forward— 转发话题。Identity: supportsuserandbot.
images
create— 上传图片。Identity:botonly (tenant_access_token).
pins
create— Pin 消息。Identity: supportsuserandbot.delete— 移除 Pin 消息。Identity: supportsuserandbot.list— 获取群内 Pin 消息。Identity: supportsuserandbot.
权限表
| 方法 | 所需 scope |
|---|---|
chats.create | im:chat:create |
chats.get | im:chat:read |
chats.link | im:chat:read |
chats.update | im:chat:update |
chat.members.bots | im:chat.members:read |
chat.members.create | im:chat.members:write_only |
chat.members.delete | im:chat.members:write_only |
chat.members.get | im:chat.members:read |
messages.delete | im:message:recall |
messages.forward | im:message |
messages.merge_forward | im:message |
messages.read_users | im:message:readonly |
threads.forward | im:message |
reactions.batch_query | im:message.reactions:read |
reactions.create | im:message.reactions:write_only |
reactions.delete | im:message.reactions:write_only |
reactions.list | im:message.reactions:read |
images.create | im:resource |
pins.create | im:message.pins:write_only |
pins.delete | im:message.pins:write_only |
pins.list | im:message.pins:read |
© appleweiping, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 16 other files (references) in skill/lark-im of appleweiping/WEIPING_WIKI.
- SKILL.md
- references/lark-im-chat-create.md
- references/lark-im-chat-identity.md
- references/lark-im-chat-list.md
- references/lark-im-chat-messages-list.md
- references/lark-im-chat-search.md
- references/lark-im-chat-update.md
- references/lark-im-flag-cancel.md
- references/lark-im-flag-create.md
- references/lark-im-flag-list.md
- references/lark-im-messages-mget.md
- references/lark-im-messages-reply.md
- references/lark-im-messages-resources-download.md
- references/lark-im-messages-search.md
- references/lark-im-messages-send.md
- references/lark-im-reactions.md
- references/lark-im-threads-messages-list.md
Open the folder on GitHubat commit 76fdc42
Compare with similar skills
Lark Im next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Lark Im this skillappleweiping/WEIPING_WIKI | 119 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Feishu Docopenclaw/openclaw | 392k | — | ~516 | Automated safety check: Pass | MIT | |
| She Love Me863401402/she-love-me | 925 | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Feishu Docraucvr/Group-Goki | 112 | 3 repos | ~592 | Automated safety check: Pass | MIT | |
| Wechat Article Extractorfreestylefly/wechat-article-extractor-skill | 136 | 1 repos | ~1k | Automated safety check: Pass | None | |
| Wechat Miniprogram Builderchenjin-cmd/wechat-miniprogram-builder | 355 | — | ~634 | Automated safety check: Pass | MIT |
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Questions about Lark Im
What does Lark Im 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（支持大文件分片下载）、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、搜索群、创建群聊或话题群、管理标记数据时使用。. Lark Im is an agent skill from appleweiping/WEIPING_WIKI.
When should I use Lark Im?
Lark Im fits situations like: tasks that involve Messaging and chat bots.
How do I install Lark Im in Claude Code?
Run `npx skills add appleweiping/WEIPING_WIKI --skill lark-im -a claude-code`. Or copy the skill folder (skill/lark-im in appleweiping/WEIPING_WIKI) into .claude/skills/lark-im in your project. Claude Code loads it when a task matches its description.
How do I install Lark Im in Codex?
Run `npx skills add appleweiping/WEIPING_WIKI --skill lark-im -a codex`. Or copy the skill folder (skill/lark-im in appleweiping/WEIPING_WIKI) into .agents/skills/lark-im in your project. Codex loads it when a task matches its description.
Can I use Lark Im in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add appleweiping/WEIPING_WIKI --skill lark-im -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lark-im, .gemini/skills/lark-im, .github/skills/lark-im and .opencode/skills/lark-im in your project.
What does Lark Im need to run?
SKILL.md names no scripts, command-line tools or credentials: Lark Im is instructions for the agent only.
Does Lark Im access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Lark Im safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Lark Im use?
Lark Im is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Lark Im use?
About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 25k tokens, read only when the agent opens those files.
What are the alternatives to Lark Im?
Skills that share tags, products or a category with Lark Im: Feishu Doc (openclaw/openclaw, 392k stars), She Love Me (863401402/she-love-me, 925 stars), Feishu Doc (raucvr/Group-Goki, 112 stars) and Wechat Article Extractor (freestylefly/wechat-article-extractor-skill, 136 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Lark Im?
appleweiping (a GitHub user) maintains it in appleweiping/WEIPING_WIKI, which has 119 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on August 26, 2026.
Source: appleweiping/WEIPING_WIKI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.