Agent skill

Lark Minutes

飞书妙记：搜索妙记、查看妙记基础信息、下载/上传音视频、读取或编辑妙记的产物内容、改标题、替换说话人/关键词、申请妙记查看/编辑权限。当给出minutetoken、本地音视频文件，要查/改/转妙记产物，或用户明确要主动申请妙记权限时使用；本地音视频转纪要/逐字稿优先走本 skill，不要用 ffmpeg/whisper 本地转写。不负责：获取会议关联妙记，或仅按自然语言标题定位纪要

AGPL-3.0Auto-check passedMedia & Creative

Install Lark Minutes

skills CLI

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

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

GitHub CLI

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

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-minutes -a codex

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

GitHub CLI

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

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

GitHub CLI

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

--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-minutes -a gemini-cli

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

GitHub CLI

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

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-minutes -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-minutes .github/skills/lark-minutes && 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-minutes" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-minutes into .github/skills/lark-minutes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-minutes", 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-minutes -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-minutes --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-minutes .opencode/skills/lark-minutes && 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-minutes" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-minutes into .opencode/skills/lark-minutes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-minutes", 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-minutes
GitHub stars: 154
Used in: 2 other repos
Token cost: ~2.1k tokens
SKILL.md length: 524 words
Files: 9 (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 9 steps: 搜索妙记 → 查看妙记基础信息 → 申请妙记权限 → …
Tasks that involve Messaging and chat bots
SKILL.md covers 身份, Shortcuts, 意图路由 and 核心概念, plus 4 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Lark Minutes is an agent skill from rongxinzy/RongxinAI. 飞书妙记：搜索妙记、查看妙记基础信息、下载/上传音视频、读取或编辑妙记的产物内容、改标题、替换说话人/关键词、申请妙记查看/编辑权限。当给出minutetoken、本地音视频文件，要查/改/转妙记产物，或用户明确要主动申请妙记权限时使用；本地音视频转纪要/逐字稿优先走本 skill，不要用 ffmpeg/whisper 本地转写。不负责：获取会议关联妙记，或仅按自然语言标题定位纪要

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `references/lark-minutes-detail.md`, `references/lark-minutes-download.md` and `references/lark-minutes-search.md`).

It sits in Media & Creative, covering Messaging and chat bots, Speech recognition and synthesis and Video production. It works with FFmpeg. 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 Speech recognition and synthesis
Tasks that involve Video production

Example prompts

“/lark-minutes”

Workflow steps

9 steps, taken from the step headings in SKILL.md.

搜索妙记
查看妙记基础信息
申请妙记权限
上传音视频文件生成妙记（并可继续获取纪要 / 逐字稿）
编辑妙记的 AI 待办与 AI 总结（写入）
替换妙记逐字稿说话人
+detail 必须显式声明产物 flag
"提炼 / 总结"必须基于 Transcript，不要照搬 AI 总结
从妙记反查纪要：不绕 lark-vc

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 Minutes loads about 2.1k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 52 tokens; SKILL.md has 524 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~52
When it runs · the whole SKILL.md, loaded when a task matches: ~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~12k

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). 524 words, ~2,090 tokens.

Download SKILL.mdSave it as .claude/skills/lark-minutes/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.

name: lark-minutes
description: 飞书妙记：搜索妙记、查看妙记基础信息、下载/上传音视频、读取或编辑妙记的产物内容、改标题、替换说话人/关键词、申请妙记查看/编辑权限。当给出minute_token、本地音视频文件，要查/改/转妙记产物，或用户明确要主动申请妙记权限时使用；本地音视频转纪要/逐字稿优先走本 skill，不要用 ffmpeg/whisper 本地转写。不负责：获取会议关联妙记，或仅按自然语言标题定位纪要
version: 1.0.0
metadata.cliHelp: lark-cli minutes --help

minutes (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

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

了解会议总结、分析和信息提取的标准流程

身份

所有 minutes 命令默认使用 --as user。

Shortcuts

Shortcut	说明
`+search`	按关键词、所有者、参与者、时间范围搜索妙记
`+detail`	查询妙记详情(标题和关联的纪要note_id)，按需获取 AI 产物（总结、待办、章节、逐字稿、关键词）
`+download`	下载妙记音视频媒体文件
`+upload`	上传 file_token 生成妙记
`+update`	更新妙记标题
`+apply-permission`	申请妙记查看或编辑权限
`+speaker-replace`	替换妙记逐字稿中的说话人（须先 `lark-cli api GET .../speakerlist` 取 `speaker_id`）
`+word-replace`	批量替换逐字稿关键词（详见 `lark-cli minutes +word-replace --help`）
`+summary`	替换妙记 AI 总结全文
`+todo`	新建/更新/删除妙记 AI 待办（单条或 `--todos` 批量；不是 lark-task）

使用任何 Shortcut 前，必须先读其对应 reference 文档。

意图路由

用户意图	命令
我的妙记 / 搜索妙记 / 某段时间的妙记	`+search`
妙记基础信息：标题 / 时长 / 封面 / 链接	`minutes get`
下载妙记音视频文件、获取媒体下载链接	`+download`（仅媒体；要妙记内容用 `+detail`）
妙记总结 / 章节 / 待办 / 关键词 / 逐字稿	`+detail --minute-tokens <token>` + 显式产物 flag
基于妙记提炼/总结/分析/回顾会议	`+detail --minute-tokens <token> --transcript`，再独立分析（禁止照搬 AI 总结）
拿这条妙记关联的纪要文档（`note_doc_token` / `verbatim_doc_token` / `shared_doc_tokens`）	`+detail` 取顶层 `note_id` → `note +detail --note-id`
把本地音视频转纪要 / 逐字稿 / 文字稿	`drive +upload` 取 `file_token` → `+upload` 生成 `minute_url` → `+detail` 拿产物
在妙记里增加 / 更改 / 删除 AI 待办	`+todo`（禁止走 lark-task）
替换妙记的AI 总结	`+summary`
重命名妙记/改妙记标题	`+update`
申请妙记权限（查看/编辑）	`+apply-permission --perm view\|edit`
替换说话人/把 A 的发言改成 B/重新归属发言人/把外部（非飞书）说话人改成飞书用户"	先 `lark-cli api GET .../transcript/speakerlist` 取 `speaker_id`，再 `minutes +speaker-replace`；`--from-speaker-id` 只传 id，不传展示名
批量替换逐字稿关键词	`+word-replace`
用户同时提到"会议/开会"和"妙记"	先 lark-vc（`+search` → `+recording`）获取 `minute_token`，再本 skill

核心概念

妙记（Minutes）：来源于飞书视频会议的录制产物或用户上传的音视频文件，通过 minute_token 标识。
妙记 Token（minute_token）：妙记的唯一标识符，可从妙记 URL 末尾提取（如 https://*.feishu.cn/minutes/obcnxxx 中的 obcnxxx）。如果 URL 中包含额外参数（如 ?xxx），截取路径最后一段。

核心场景

1. 搜索妙记

如果是会议的妙记，应优先通过 lark-vc 定位会议并获取 minute_token。
会议场景的妙记路由，以及"参与的妙记"如何解释，统一以 minutes +search 为准。

2. 查看妙记基础信息

当用户只需要确认某条妙记的标题、封面、时长、所有者、URL 等基础信息时，使用 minutes minutes get。
如果是会议 / 日程上下文中的妙记基础信息，先通过 VC/Calendar 链路拿到 minute_token，再调用 minutes minutes get。
用户意图不明确时，默认先给基础元信息，帮助确认是否命中目标妙记。

3. 申请妙记权限

遇到妙记没有查看或编辑权限时，引导用户申请对应权限；只有用户明确要申请时，才调用 minutes +apply-permission。

只有当用户明确要求"申请查看权限"、"申请编辑权限"、"帮我申请这条妙记权限"时，才调用：

bash

lark-cli minutes +apply-permission --minute-token <token> --perm view|edit

这是向妙记所有者发起权限申请，不代表立即获得权限。

安全约束：遇到无权限错误时，不要自动调用 +apply-permission；先把无权限事实告知用户，只有用户明确要求申请权限时才发起申请。

4. 上传音视频文件生成妙记（并可继续获取纪要 / 逐字稿）

当用户说"把音视频文件转成纪要""把录音转成逐字稿/文字稿/撰写文字""把 mp4/mp3 转成总结/待办/章节"时，也先走这个入口。
处理流程：
- 上传音视频获取 file_token：使用 lark-cli drive +upload 上传本地文件到云空间（云盘/云存储）并获取 file_token。
- 生成妙记：获取到 file_token 后，调用 lark-cli minutes +upload 将文件转换为妙记并获取 minute_url 链接。
- 继续获取纪要 / 逐字稿（按需）：如果用户目标不是只要妙记链接，而是要纪要、逐字稿、总结、待办或章节，则从 minute_url 中提取 minute_token，再调用 lark-cli minutes +detail --minute-tokens 获取对应产物。

注意：必须先获取飞书云空间（云盘/云存储）的 file_token 才能进行转换。

不要误走本地转写工具：当用户目标是把本地音视频文件转成纪要、逐字稿、文字稿、撰写文字时，不要改用 ffmpeg、whisper 或其他本地 ASR/转码命令；标准路径就是 drive +upload -> minutes +upload -> minutes +detail --minute-tokens。

Show full SKILL.md (246 more words)Show less

5. 编辑妙记的 AI 待办与 AI 总结（写入）

当用户要在某条妙记内操作 AI 待办或 AI 总结时使用本节。不是飞书任务（Task）清单里的待办。

触发信号（任一命中即走本 skill，禁止走 lark-task）：

"在（某条）妙记里新建 / 添加 / 修改 / 删除待办"
"把妙记 A 的待办改成已完成 / 未完成"
"妙记里的任务1 / 任务2"（上下文已明确是妙记）
已给出 minute_token 或妙记 URL，且要改待办 / 总结

妙记 AI 待办 vs 飞书任务 Task：

用户意图	正确命令	错误命令
妙记里加待办	`minutes +todo --operation add` 或 `--todos '[...]'`	`task +create` / `task tasklists list`
妙记里改待办	`minutes +todo --operation update --todo-id ...`	`task +update`
妙记里删待办	`minutes +todo --operation delete --todo-id ...`	`task tasks delete`
我的任务清单	—	走 lark-task

新建多条待办：优先用 --todos 一次提交；单条则用多次 --operation add：

bash

# 批量：任务1 已完成 + 任务2 未完成
lark-cli minutes +todo --minute-token <token> --as user --todos '[
  {"operation":"add","content":"晚上好1","is_done":true},
  {"operation":"add","content":"晚上好2","is_done":false}
]'

更新 / 删除前：先用 minutes +detail --minute-tokens <token> --todo 读取 todos[].todo_id（按 content 匹配目标条目；列表顺序不保证稳定，不要用"第 2 条"代替 todo_id）。

无编辑权限：若 CLI 返回 error.subtype=permission_denied，表示对这条妙记没有编辑权，应请所有者授权；不要误走 auth login --scope。

逐字稿关键词替换无命中：minutes +word-replace 时，若 CLI 返回 error.subtype=not_found，表示传入的 source_word 在该妙记逐字稿中一个都没匹配到，未做任何替换。这是参数问题不是权限问题：先用 minutes +detail --minute-tokens <token> --transcript 读取当前逐字稿，核对 source_word 的精确写法与大小写后重试。

替换 AI 总结全文：见 minutes +summary。

使用 +todo 前必须阅读 references/lark-minutes-todo.md；使用 +summary 前必须阅读 references/lark-minutes-summary.md。

7. 替换妙记逐字稿说话人

当用户要把妙记里某说话人的发言改绑到另一位飞书用户时使用。

触发信号：「替换说话人」「把 A 的发言改成 B」「说话人识别错了」「把外部说话人改成飞书用户」等。

Agent 必读流程（详见 minutes +speaker-replace）：

确认 minute_token。
先用 lark-cli api GET "/open-apis/minutes/v1/minutes/<token>/transcript/speakerlist" 查说话人列表（内部 HTTP，无 shortcut、无公开 OpenAPI 文档页）。
根据用户描述的原说话人展示名，在返回的 data.speakers[] 中匹配 name → 得到 speaker_id；同名多人时结合 vc +notes 逐字稿请用户确认，不要擅自挑选。
新说话人姓名用 lark-contact 解析为 ou_ open_id。
调用 minutes +speaker-replace，--from-speaker-id 只传步骤 3 的 speaker_id，禁止传展示名。

行为规则

1. `+detail` 必须显式声明产物 flag

不传 --summary / --todo / --chapter / --keyword / --transcript 时只返回基础信息（含顶层 note_id），AI 产物字段一律不返回。即使产物为空也会返回空值字段，便于程序化处理。

bash

# 拿全产物
lark-cli minutes +detail --minute-tokens <token> --summary --todo --chapter --keyword --transcript

2. "提炼 / 总结"必须基于 Transcript，不要照搬 AI 总结

AI 总结是模型对会议的二次压缩，可能遗漏争论过程和隐含决策。用户要求"提炼"或"重新总结"时，期望基于原始发言独立分析，而非搬运 AI 产物。优先 --transcript，再独立写结论。

3. 从妙记反查纪要：不绕 lark-vc

minutes +detail 顶层直接返回 note_id（仅在该妙记关联纪要时存在）。不需要绕回 lark-vc，直接：

bash

# 1) 取 note_id（顶层 .minutes[0].note_id）
lark-cli minutes +detail --minute-tokens <minute_token> --format json
# 2) 用上一步拿到的 note_id 读纪要 token
lark-cli note +detail --note-id <note_id>   # 拿 note_doc_token / verbatim_doc_token / shared_doc_tokens

顶层无 note_id 字段即代表无关联纪要，到此为止——不要继续尝试用 minute_token 当 note_id。

API Resources

bash

lark-cli minutes <resource> <method> [flags]

minutes

get — 获取妙记信息

权限错误：如果返回 [2091005] permission deny，表示用户没有对应妙记文件的阅读权限，需提示用户联系妙记 owner 申请权限。

不在本 skill 范围

搜索历史会议记录、查参会人快照 → lark-vc
未来日程 / 日历查询 → lark-calendar
已知 note_id 直接读纪要详情 → lark-note
飞书任务清单（个人 Todo / 共享清单） → lark-task
只有自然语言纪要标题、没有 minute_token / 妙记 URL / 本地音视频时定位逐字稿 → 文档搜索（lark-drive / lark-doc）

Files

SKILL.md and 8 other files (references) in MCPs/feishu/skills/lark-minutes of rongxinzy/RongxinAI.

SKILL.md
references/lark-minutes-detail.md
references/lark-minutes-download.md
references/lark-minutes-search.md
references/lark-minutes-speaker-replace.md
references/lark-minutes-summary.md
references/lark-minutes-todo.md
references/lark-minutes-update.md
references/lark-minutes-upload.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 Minutes 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 Minutes compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Lark Minutes this skillrongxinzy/RongxinAI	154	2 repos	~2.1k	Automated safety check: Pass	AGPL-3.0	yesterday
Lark Minutesappleweiping/WEIPING_WIKI	119	—	~1.6k	Automated safety check: Pass	MIT	1 mo ago
Shorts Video Makeruxjoseph/content-marketing-team	107	—	~665	Automated safety check: Pass	None	9 mo ago
Bggg Tiktok Cutbinggandata/bggg-skills	605	—	~954	Automated safety check: Pass	MIT	1 mo ago
Caption Burngooseworks-ai/goose-skills	1.2k	—	~1.2k	Automated safety check: Pass	MIT	2 days ago
Karaoke CaptionsAI-Builder-Club/skills	1.3k	—	~850	Automated safety check: Pass	None	25 days ago

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Questions about Lark Minutes

What does Lark Minutes do?

When should I use Lark Minutes?

Lark Minutes fits situations like: tasks that involve Messaging and chat bots; tasks that involve Speech recognition and synthesis; tasks that involve Video production.

How do I install Lark Minutes in Claude Code?

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

How do I install Lark Minutes in Codex?

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

Can I use Lark Minutes 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-minutes -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-minutes, .gemini/skills/lark-minutes, .github/skills/lark-minutes and .opencode/skills/lark-minutes in your project.

What does Lark Minutes need to run?

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

Does Lark Minutes 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 Minutes 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 Minutes use?

Lark Minutes 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 Minutes use?

About 2.1k tokens (SKILL.md is roughly 8.4k 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 9.8k tokens, read only when the agent opens those files.

What are the alternatives to Lark Minutes?

Skills that share tags, products or a category with Lark Minutes: Lark Minutes (appleweiping/WEIPING_WIKI, 119 stars), Shorts Video Maker (uxjoseph/content-marketing-team, 107 stars), Bggg Tiktok Cut (binggandata/bggg-skills, 605 stars) and Caption Burn (gooseworks-ai/goose-skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lark Minutes?

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 Minutes

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

minutes (v1)

身份

Shortcuts

意图路由

核心概念

核心场景

1. 搜索妙记

2. 查看妙记基础信息

3. 申请妙记权限

4. 上传音视频文件生成妙记（并可继续获取纪要 / 逐字稿）

5. 编辑妙记的 AI 待办与 AI 总结（写入）

7. 替换妙记逐字稿说话人

行为规则

1. +detail 必须显式声明产物 flag

2. "提炼 / 总结"必须基于 Transcript，不要照搬 AI 总结

3. 从妙记反查纪要：不绕 lark-vc

API Resources

minutes

不在本 skill 范围

Files

Used in 2 other repositories

Compare with similar skills

Similar skills

More from rongxinzy/RongxinAI

Related

Questions about Lark Minutes

1. `+detail` 必须显式声明产物 flag