Agent skill

Lark Note

飞书会议纪要（Note）直查：已知 noteid 时查询纪要详情、展示类型、关联文档 token，并读取 unified 原始逐字记录。当用户已持有 noteid，或从文档显式 vc-node-id 获得 noteid 时使用。不负责会议/日程/妙记定位、文档标题搜索或 Docx 正文读取。

AGPL-3.0Auto-check passedDocuments & Office

Install Lark Note

skills CLI

$ npx skills add rongxinzy/RongxinAI --skill lark-note -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install rongxinzy/RongxinAI lark-note --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/MCPs/feishu/skills/lark-note .claude/skills/lark-note && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "lark-note" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-note into .claude/skills/lark-note/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-note", 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

$skill-installer install https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-note

Type 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.

skills CLI

$ npx skills add rongxinzy/RongxinAI --skill lark-note -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install rongxinzy/RongxinAI lark-note --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .agents/skills && cp -r skills-src/MCPs/feishu/skills/lark-note .agents/skills/lark-note && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "lark-note" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-note into .agents/skills/lark-note/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-note", 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.

skills CLI

$ npx skills add rongxinzy/RongxinAI --skill lark-note -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install rongxinzy/RongxinAI lark-note --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/MCPs/feishu/skills/lark-note .cursor/skills/lark-note && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "lark-note" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-note into .cursor/skills/lark-note/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-note", 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

$ gemini skills install https://github.com/rongxinzy/RongxinAI.git --path MCPs/feishu/skills/lark-note

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add rongxinzy/RongxinAI --skill lark-note -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install rongxinzy/RongxinAI lark-note --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/MCPs/feishu/skills/lark-note .gemini/skills/lark-note && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "lark-note" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-note into .gemini/skills/lark-note/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-note", 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.

GitHub CLI

$ gh skill install rongxinzy/RongxinAI lark-note

Installs 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).

skills CLI

$ npx skills add rongxinzy/RongxinAI --skill lark-note -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .github/skills && cp -r skills-src/MCPs/feishu/skills/lark-note .github/skills/lark-note && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "lark-note" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-note into .github/skills/lark-note/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-note", 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.

skills CLI

$ npx skills add rongxinzy/RongxinAI --skill lark-note -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install rongxinzy/RongxinAI lark-note --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/MCPs/feishu/skills/lark-note .opencode/skills/lark-note && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "lark-note" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-note into .opencode/skills/lark-note/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-note", 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-note
GitHub stars: 154
Used in: 2 other repos
Token cost: ~971 tokens
SKILL.md length: 263 words
Files: 3 (incl. references)
Skills in repo: 94
Repo updated: Oct 10, 2026
First seen: Oct 7, 2026
Licence: AGPL-3.0

At a glance

Works in 3 steps: 当用户已有 note_id，需要获取对应的… → note_id 通常来自 vc +detail 的返回结果。 → 获取到文档 Token 后，可使用 docs +fetch 读取文档内容，或使用…
Tasks that involve Messaging and chat bots
SKILL.md covers 命令路由, note_display_type 路由, 关键字段 and 不在本 Skill 范围, plus 3 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Lark Note is an agent skill from rongxinzy/RongxinAI. 飞书会议纪要（Note）直查：已知 noteid 时查询纪要详情、展示类型、关联文档 token，并读取 unified 原始逐字记录。当用户已持有 noteid，或从文档显式 vc-node-id 获得 noteid 时使用。不负责会议/日程/妙记定位、文档标题搜索或 Docx 正文读取。

Its SKILL.md is about 970 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/lark-note-detail.md` and `references/lark-note-transcript.md`).

It sits in Documents & Office, covering Messaging and chat bots and Word documents. It works with Microsoft Word. The repository describes itself as: An all-in-one local AI Agent workspace with a fully self-developed stack. The licence is AGPL-3.0.

When your agent uses it

Tasks that involve Messaging and chat bots
Tasks that involve Word documents

Example prompts

“/lark-note”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

当用户已有 note_id，需要获取对应的 note_doc_token、verbatim_doc_token 或 shared_doc_tokens 时，使用 note +detail。
note_id 通常来自 vc +detail 的返回结果。
获取到文档 Token 后，可使用 docs +fetch 读取文档内容，或使用 drive metas batch_query 获取文档元信息。

What it can do on your machine

Read from SKILL.md and the folder at commit 9c64865. 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 Note loads about 971 tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 40 tokens; SKILL.md has 263 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~40
When it runs · the whole SKILL.md, loaded when a task matches: ~971
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~1.6k

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 rongxinzy/RongxinAI at commit 9c64865, republished under its AGPL-3.0 licence (© rongxinzy). 263 words, ~971 tokens.

Download SKILL.mdSave it as .claude/skills/lark-note/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.

name: lark-note
description: 飞书会议纪要（Note）直查：已知 note_id 时查询纪要详情、展示类型、关联文档 token，并读取 unified 原始逐字记录。当用户已持有 note_id，或从文档显式 vc-node-id 获得 note_id 时使用。不负责会议/日程/妙记定位、文档标题搜索或 Docx 正文读取。
version: 1.0.0
metadata.cliHelp: lark-cli note --help

note (v1)

身份：仅使用 --as user。使用前阅读 ../lark-shared/SKILL.md。

CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-vc/references/vc-domain-boundaries.md，不读将导致命令使用、会议产物决策、领域边界职责判断错误：

了解日历 & VC、会议产物 & 文档的关联关系和职责划分

了解会议产物（妙记和纪要）之间的关联关系，例如：妙记和纪要产生条件相互独立

了解不同会议产物的组成部分，以便根据需求决策使用哪种产物的数据

Note 域只接受显式 note_id：用户直接提供，或 docs +fetch 返回的 <vc-transcribe-tab vc-node-id="..."> 中的 vc-node-id。不要从 doc_token、标题、正文或 backlink 反推 note_id。

命令路由

用户表达 / 上下文	路由
已知 `note_id`，查纪要类型 / 文档 token	`note +detail --note-id NOTE_ID`
`docs +fetch` 返回 `<vc-transcribe-tab vc-node-id="...">`	取 `vc-node-id` 作为 `NOTE_ID`，先 `note +detail --note-id NOTE_ID`
只持有 `meeting_id`	先 `vc +detail --meeting-ids <id>` 拿 `note_id`，再 `note +detail --note-id NOTE_ID`
只持有 `minute_token`（妙记 URL）	先 `minutes +detail --minute-tokens <token>` 顶层取 `note_id`，再 `note +detail --note-id NOTE_ID`（不要把 `minute_token` 当 `note_id`）
只持有日程 `event_id`	先 `calendar +meeting --event-ids <id>` 拿 `meeting_id`，再按上一行继续
已知 `note_id`，读纪要正文	`note +detail` → `docs +fetch --doc <note_doc_token>`
已知 `note_id`，查 unified 原始记录 / 逐字稿	`note +transcript --note-id NOTE_ID`
只有自然语言纪要标题，用户要逐字稿 / 原始记录 / 谁说了什么	不进本 skill；先走文档搜索与 `docs +fetch`，拿到 `vc-node-id` 后再回来

`note_display_type` 路由

`note +detail` 结果	用户要逐字稿 / 原始记录时
`normal` + `verbatim_doc_token` 非空	`docs +fetch --doc <verbatim_doc_token>`
`unknown` + `verbatim_doc_token` 非空	先按独立文档处理；不要猜成 unified
`unknown` + 无逐字稿 token	停止重试并说明无法确定逐字稿入口
`unified`	`note +transcript --note-id <note_id>`

判别键是 note_display_type，不是 verbatim_doc_token 是否为空：unified 纪要也可能返回非空 verbatim_doc_token。

关键字段

note_id：Note 域唯一入口。
note_display_type：unknown / normal / unified。
note_doc_token：纪要正文文档，正文读取交给 lark-doc。
verbatim_doc_token：普通纪要逐字稿文档；unified 逐字稿不按这个 token 路由。

不在本 Skill 范围

通过 meeting_id 定位纪要（note_id）→ lark-vc（vc +detail）。
通过 minute_token 定位纪要（note_id）→ lark-minutes（minutes +detail 顶层返回 note_id）。
通过日程 event_id 定位会议(meeting_id) / 用户绑定纪要(meeting_note) → lark-calendar（calendar +meeting）。
自然语言纪要标题搜索 → lark-drive / lark-doc。
Docx 正文读取 → lark-doc。
妙记基础信息与媒体文件 → lark-minutes。

Shortcuts

Shortcut	何时读 reference
`+detail`	需要解释输出字段或根据展示类型继续路由
`+transcript`	需要拉取 unified 原始记录或处理本地输出文件

核心概念

会议纪要（Note）：视频会议结束后生成的结构化文档，通过 note_id 标识。一个 Note 包含 AI 智能纪要文档、逐字稿文档和会中共享文档。
note_id：纪要的唯一标识符，可通过 vc +detail --meeting-ids 获取。
AI 智能纪要（MainDoc）：AI 生成的会议总结与待办，对应 note_doc_token。
逐字稿（VerbatimDoc）：会议的逐句发言记录，含说话人和时间戳，对应 verbatim_doc_token。
共享文档（SharedDoc）：会中投屏共享的文档，对应 shared_doc_tokens。

核心场景

1. 通过 note_id 获取纪要文档 Token

当用户已有 note_id，需要获取对应的 note_doc_token、verbatim_doc_token 或 shared_doc_tokens 时，使用 note +detail。
note_id 通常来自 vc +detail 的返回结果。
获取到文档 Token 后，可使用 docs +fetch 读取文档内容，或使用 drive metas batch_query 获取文档元信息。

bash

# 1. 从会议获取 note_id
lark-cli vc +detail --meeting-ids <meeting_id>

# 2. 用 note_id 拿文档 Token
lark-cli note +detail --note-id <note_id>

# 3. 读取纪要文档内容
lark-cli docs +fetch --doc <note_doc_token> --doc-format markdown

Files

SKILL.md and 2 other files (references) in MCPs/feishu/skills/lark-note of rongxinzy/RongxinAI.

SKILL.md
references/lark-note-detail.md
references/lark-note-transcript.md

Open the folder on GitHubat commit 9c64865

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in rongxinzy/RongxinAI, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Lark Note 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.

Lark Note compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Lark Note this skillrongxinzy/RongxinAI	154	2 repos	~971	Automated safety check: Pass	AGPL-3.0	today
Wechat Skill843645440/wechat-skill	109	—	~1.3k	Automated safety check: Pass	AGPL-3.0	26 days ago
Lark DocPinvou/pinvou-agent	2.4k	—	~738	Automated safety check: Pass	MIT	today
Lark Docappleweiping/WEIPING_WIKI	119	—	~1.4k	Automated safety check: Pass	MIT	1 mo ago
Gzh Designisjiamu/gzh-design-skill	4k	—	~2.2k	Automated safety check: Pass	AGPL-3.0	yesterday
Lark Driveappleweiping/WEIPING_WIKI	119	—	~4.1k	Automated safety check: Pass	MIT	1 mo ago

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Questions about Lark Note

What does Lark Note do?

飞书会议纪要（Note）直查：已知 noteid 时查询纪要详情、展示类型、关联文档 token，并读取 unified 原始逐字记录。当用户已持有 noteid，或从文档显式 vc-node-id 获得 noteid 时使用。不负责会议/日程/妙记定位、文档标题搜索或 Docx 正文读取。. Lark Note is an agent skill from rongxinzy/RongxinAI.

When should I use Lark Note?

Lark Note fits situations like: tasks that involve Messaging and chat bots; tasks that involve Word documents.

How do I install Lark Note in Claude Code?

Run `npx skills add rongxinzy/RongxinAI --skill lark-note -a claude-code`. Or copy the skill folder (MCPs/feishu/skills/lark-note in rongxinzy/RongxinAI) into .claude/skills/lark-note in your project. Claude Code loads it when a task matches its description.

How do I install Lark Note in Codex?

Run `npx skills add rongxinzy/RongxinAI --skill lark-note -a codex`. Or copy the skill folder (MCPs/feishu/skills/lark-note in rongxinzy/RongxinAI) into .agents/skills/lark-note in your project. Codex loads it when a task matches its description.

Can I use Lark Note 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 rongxinzy/RongxinAI --skill lark-note -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-note, .gemini/skills/lark-note, .github/skills/lark-note and .opencode/skills/lark-note in your project.

What does Lark Note need to run?

SKILL.md names no scripts, command-line tools or credentials: Lark Note is instructions for the agent only.

Does Lark Note 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 Note 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 Note use?

Lark Note is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lark Note use?

About 971 tokens (SKILL.md is roughly 3.9k 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 594 tokens, read only when the agent opens those files.

What are the alternatives to Lark Note?

Skills that share tags, products or a category with Lark Note: Wechat Skill (843645440/wechat-skill, 109 stars), Lark Doc (Pinvou/pinvou-agent, 2.4k stars), Lark Doc (appleweiping/WEIPING_WIKI, 119 stars) and Gzh Design (isjiamu/gzh-design-skill, 4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lark Note?

rongxinzy (a GitHub organization) maintains it in rongxinzy/RongxinAI, which has 154 GitHub stars. The repository holds 94 skills in this directory. The repository was last updated on October 10, 2026.

Source: rongxinzy/RongxinAI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Lark Note

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

note (v1)

命令路由

note_display_type 路由

关键字段

不在本 Skill 范围

Shortcuts

核心概念

核心场景

1. 通过 note_id 获取纪要文档 Token

Files

Used in 2 other repositories

Compare with similar skills

Similar skills

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Related

Questions about Lark Note

`note_display_type` 路由