Agent skill

Lark Minutes

by appleweiping in appleweiping/WEIPING_WIKI

飞书妙记:妙记相关基本功能。1.查询妙记列表(按关键词/所有者/参与者/时间范围);2.获取妙记基础信息(标题、封面、时长 等);3.下载妙记音视频文件;4.获取妙记相关 AI 产物(总结、待办、章节);5.上传音视频生成妙记,也支持将本地音视频文件转成纪要、逐字稿、文字稿、撰写文字等产物。遇到这类请求时,应优先使用本 skill,而不是尝试 ffmpeg、whisper…

MITAuto-check passedAI & LLM Engineering

Install Lark Minutes

skills CLI
$ npx skills add appleweiping/WEIPING_WIKI --skill lark-minutes -a claude-code

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

GitHub CLI
$ gh skill install appleweiping/WEIPING_WIKI 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/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skill/lark-cli/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/

Facts

Skill name
lark-minutes
GitHub stars
119
Token cost
~1.6k tokens
SKILL.md length
365 words
Files
4 (incl. references)
Skills in repo
51
Repo updated
First seen
Licence
MIT

At a glance

飞书妙记:妙记相关基本功能。1.查询妙记列表(按关键词/所有者/参与者/时间范围);2.获取妙记基础信息(标题、封面、时长 等);3.下载妙记音视频文件;4.获取妙记相关 AI 产物(总结、待办、章节);5.上传音视频生成妙记,也支持将本地音视频文件转成纪要、逐字稿、文字稿、撰写文字等产物。遇到这类请求时,应优先使用本 skill,而不是尝试 ffmpeg、whisper…

  • Works in 5 steps: 搜索妙记 → 查看妙记基础信息 → 下载妙记音视频文件 → …
  • Tasks that involve Messaging and chat bots
  • SKILL.md covers 核心概念, 核心场景, 资源关系 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 Minutes is an agent skill from appleweiping/WEIPING_WIKI. 飞书妙记:妙记相关基本功能。1.查询妙记列表(按关键词/所有者/参与者/时间范围);2.获取妙记基础信息(标题、封面、时长 等);3.下载妙记音视频文件;4.获取妙记相关 AI 产物(总结、待办、章节);5.上传音视频生成妙记,也支持将本地音视频文件转成纪要、逐字稿、文字稿、撰写文字等产物。遇到这类请求时,应优先使用本 skill,而不是尝试 ffmpeg、whisper 等本地转写命令。飞书妙记 URL 格式: http(s)://<host/minutes/<minute-token

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/lark-minutes-download.md`, `references/lark-minutes-search.md` and `references/lark-minutes-upload.md`).

It sits in AI & LLM Engineering, covering Messaging and chat bots, Speech recognition and synthesis and Video production. It works with FFmpeg. 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
  • Tasks that involve Speech recognition and synthesis
  • Tasks that involve Video production

Example prompts

  • “/lark-minutes”

Workflow steps

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

  1. 搜索妙记
  2. 查看妙记基础信息
  3. 下载妙记音视频文件
  4. 获取妙记的逐字稿、总结、待办、章节
  5. 上传音视频文件生成妙记(并可继续获取纪要 / 逐字稿)

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 Minutes loads about 1.6k tokens when it runs, and up to ~7k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 365 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7k

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). 365 words, ~1,606 tokens.

Download SKILL.mdSave it as .claude/skills/lark-minutes/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
lark-minutes
description
飞书妙记:妙记相关基本功能。1.查询妙记列表(按关键词/所有者/参与者/时间范围);2.获取妙记基础信息(标题、封面、时长 等);3.下载妙记音视频文件;4.获取妙记相关 AI 产物(总结、待办、章节);5.上传音视频生成妙记,也支持将本地音视频文件转成纪要、逐字稿、文字稿、撰写文字等产物。遇到这类请求时,应优先使用本 skill,而不是尝试 `ffmpeg`、`whisper` 等本地转写命令。飞书妙记 URL 格式: http(s)://<host>/minutes/<minute-token>
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

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(例如 https://*.feishu.cn/minutes/obcnxxxxxxxxxxxxxxxxxxxx 中的 obcnxxxxxxxxxxxxxxxxxxxx)。如果 URL 中包含额外参数(如 ?xxx),应截取路径最后一段。

核心场景

1. 搜索妙记
  1. 当用户描述的是"我的妙记""包含某个关键词的妙记""某段时间内的妙记",优先使用 minutes +search。
  2. 仅支持使用关键词、时间段、参与者、所有者等筛选条件搜索妙记记录,对于不支持的筛选条件,需要提示用户。
  3. 搜索结果存在多条数据时,务必注意分页数据获取,不要遗漏任何妙记记录。
  4. 如果是会议的妙记,应优先使用 vc +search 先定位会议,再按需通过 vc +recording 获取 minute_token。
  5. 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
  1. 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。
  2. 如果用户给的是妙记 URL,应先从 URL 末尾提取 minute_token,再调用 minutes minutes get。
  3. 如果是会议 / 日程上下文中的妙记基础信息,先通过 VC 链路拿到 minute_token,再调用 minutes minutes get。
  4. 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。

使用 lark-cli schema minutes.minutes.get 可查看完整返回值结构。核心字段包含:title(标题)、cover(封面 URL)、duration(时长,毫秒)、owner_id(所有者 ID)、url(妙记链接)。

3. 下载妙记音视频文件
  1. 下载妙记音视频文件到本地,或获取有效期 1 天的下载链接。详见 minutes +download。
  2. minutes +download 只负责音视频媒体文件。
  3. 用户只想拿可分享的下载地址时,使用 --url-only;用户要落地到本地文件时,直接下载。
  4. 未显式指定路径时,文件默认落到 ./minutes/{minute_token}/<server-filename>,与 vc +notes 的逐字稿共享同一目录便于聚合。

注意:+download 只负责音视频媒体文件。如果用户需要的是逐字稿、总结、待办、章节等纪要内容,请使用 vc +notes --minute-tokens。

4. 获取妙记的逐字稿、总结、待办、章节
  1. 当用户说"这个妙记的逐字稿""总结""待办""章节"时,不属于本 skill。
  2. 应使用 vc +notes --minute-tokens 获取对应的纪要产物。
  3. 如果当前上下文中已有 minute_token,可直接传给 vc +notes;如果只有妙记 URL,先提取 minute_token。
  4. 如果用户给的是本地音视频文件,但目标是"转成纪要""转成逐字稿""转成文字稿""转成撰写文字",也支持;此时应先按下文第 5 节上传文件生成妙记,再把返回的 minute_url 提取成 minute_token,继续调用 vc +notes --minute-tokens。
  5. 用户如果直接给出本地文件名或路径,并要求"转逐字稿""转文字稿""整理成撰写文字",这也是本 skill 的明确触发信号。
bash
# 通过 minute_token 获取纪要产物(逐字稿、总结、待办、章节)
lark-cli vc +notes --minute-tokens <minute_token>

跨 skill 路由:逐字稿、AI 总结、待办、章节等纪要内容由 lark-vc 的 +notes 命令提供

5. 上传音视频文件生成妙记(并可继续获取纪要 / 逐字稿)
  1. 当用户需要通过上传本地音视频文件来生成妙记时使用。
  2. 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。
  3. 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 vc +notes --minute-tokens 获取对应产物。

注意:必须先获取飞书云空间的 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 -> vc +notes --minute-tokens。

Show full SKILL.md (169 more words)Show less

资源关系

text
Minutes (妙记) ← minute_token 标识
├── Metadata (标题、封面、时长、owner、url) → minutes minutes get
└── MediaFile (音频/视频文件) → minutes +download

能力边界:minutes 负责 搜索妙记、查看基础元信息、下载音视频文件、上传音视频生成妙记。

路由规则:

  • 用户说"妙记列表 / 搜索妙记 / 某个关键词的妙记" → minutes +search
  • 用户只是想看"我的妙记 / 某段时间内的妙记 / 妙记列表",不要先走 lark-vc,而应直接使用本 skill
  • 用户如果同时提到"会议 / 会 / 开会 / 某场会",即使也提到了"妙记",也应优先走 lark-vc 先定位会议,再通过 vc +recording 获取 minute_token
  • 用户如果要的是妙记基础信息,拿到 minute_token 后用 minutes minutes get;用户如果要的是逐字稿、文字稿、撰写文字、总结、待办、章节,再走 vc +notes --minute-tokens
  • “我的妙记”“参与的妙记”等自然语言映射细则,以 minutes +search 为准
  • 结果有多页时,使用 page_token 持续翻页,直到确认没有更多结果
  • minutes +search 单次最多返回 200 条;结果总数没有固定上限
  • 用户说"这个妙记的标题 / 时长 / 封面 / 链接" → minutes minutes get
  • 用户说"下载这个妙记的视频 / 音频 / 媒体文件" → minutes +download
  • 用户说"这个妙记的逐字稿 / 文字稿 / 撰写文字 / 总结 / 待办 / 章节" → 使用 vc +notes --minute-tokens
  • 用户说"通过文件生成妙记 / 把音视频转妙记" → 先上传获取 file_token,然后使用 minutes +upload
  • 用户说"把音视频文件转成纪要 / 逐字稿 / 文字稿 / 撰写文字 / 总结 / 待办 / 章节" → 先上传获取 file_token,调用 minutes +upload 生成 minute_url,再提取 minute_token 走 vc +notes --minute-tokens

Shortcuts(推荐优先使用)

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

Shortcut说明
+searchSearch minutes by keyword, owners, participants, and time range
+downloadDownload audio/video media file of a minute
+uploadUpload a media file token to generate a minute
<!-- AUTO-GENERATED-START — gen-skills.py 管理,勿手动编辑 -->

API Resources

bash
lark-cli schema minutes.<resource>.<method>   # 调用 API 前必须先查看参数结构
lark-cli minutes <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。

minutes
  • get — 获取妙记信息

权限表

方法所需 scope
+searchminutes:minutes.search:read
minutes.getminutes:minutes:readonly
+downloadminutes:minutes.media:export
<!-- AUTO-GENERATED-END -->

© 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 3 other files (references) in skill/lark-cli/skills/lark-minutes of appleweiping/WEIPING_WIKI.

  • SKILL.md
  • references/lark-minutes-download.md
  • references/lark-minutes-search.md
  • references/lark-minutes-upload.md

Open the folder on GitHubat commit 76fdc42

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
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Lark Minutes this skillappleweiping/WEIPING_WIKI119—~1.6kAutomated safety check: PassMIT
Lark Minutesrongxinzy/RongxinAI1542 repos~2.1kAutomated safety check: PassAGPL-3.0
Shorts Video Makeruxjoseph/content-marketing-team107—~665Automated safety check: PassNone
Vlog Auto Editznyupup/ai-video-editing-skill150—~6.8kAutomated safety check: PassMIT
Watchmathiaschu/watch142—~4kAutomated safety check: WarnMIT
Bggg Tiktok Cutbinggandata/bggg-skills605—~954Automated safety check: PassMIT

Similar skills

  • Lark Minutes

    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

    154 GitHub starsUsed in 2 repos~2.1k tokens
    Media & CreativeAuto-check passed
  • Shorts Video Maker

    uxjoseph/content-marketing-team

    YouTube 영상에서 쇼츠 클립 3개를 자동 제작합니다. An agent skill from uxjoseph/content-marketing-team.

    107 GitHub stars~665 tokensUpdated 9 mo ago
    Media & CreativeAuto-check passed
  • Vlog Auto Edit

    znyupup/ai-video-editing-skill

    AI Agent自动剪辑旅行Vlog的完整工作流。从原始素材到成品视频,系统级只需ffmpeg,其余在Python venv内完成。by nyx研究所 (GitHub @znyupup · B站/小红书 @nyx研究所)

    150 GitHub stars~6.8k tokensUpdated 5 mo ago
    Media & CreativeAuto-check passed
  • Watch

    mathiaschu/watch

    Watch a video from YouTube, Instagram, X/Twitter, Vimeo, TikTok or any of ~1800 yt-dlp sites (or a local path).

    142 GitHub stars~4k tokensUpdated 4 mo ago
    Media & CreativeAuto-check: warnings
  • Bggg Tiktok Cut

    binggandata/bggg-skills

    用于把 AI 生成的视频、本地素材、口播素材或产品短片剪成可发布到 TikTok 的竖屏成片. An agent skill from binggandata/bggg-skills.

    605 GitHub stars~954 tokensUpdated 1 mo ago
    Media & CreativeAuto-check passed
  • Resolve Media Analysis

    samuelgursky/davinci-resolve-mcp

    Media intelligence layer for the DaVinci Resolve MCP. An agent skill from samuelgursky/davinci-resolve-mcp.

    3.5k GitHub stars~1.1k tokensUpdated yesterday
    Media & CreativeAuto-check passed

More from appleweiping/WEIPING_WIKI

All 51 skills in this repo
  • Communication Assistant

    appleweiping/WEIPING_WIKI

    Unified lazy-mode communication assistant for Vipin across WhatsApp, WeChat, QQ, Feishu/Lark, and email.

    119 GitHub stars~1.1k tokensUpdated 1 mo ago
    Auto-check passed
  • Content Refinement Agent

    appleweiping/WEIPING_WIKI

    Step 5 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from appleweiping/WEIPING_WIKI.

    119 GitHub stars~3k tokensUpdated 1 mo ago
    Auto-check passed
  • Chrome Automation

    appleweiping/WEIPING_WIKI

    Connect to and control Google Chrome browser using agent-browser with CDP (Chrome DevTools Protocol).

    119 GitHub starsUsed in 1 repo~5.3k tokens
    Auto-check: warnings
  • Email Assistant

    appleweiping/WEIPING_WIKI

    Personal Gmail and Google Workspace email assistant for Vipin.

    119 GitHub stars~1.3k tokensUpdated 1 mo ago
    Auto-check passed
  • Wechat Video Channel Publish

    appleweiping/WEIPING_WIKI

    A skill your agent uses when the user wants to log into 微信视频号, validate cookie state, upload videos, set scheduled publish time, fill long description, set a cover image, or save drafts through a…

    119 GitHub stars~765 tokensUpdated 1 mo ago
    Auto-check passed
  • Feishu Bridge

    appleweiping/WEIPING_WIKI

    Route Feishu/Lark content access for Codex. An agent skill from appleweiping/WEIPING_WIKI.

    119 GitHub stars~906 tokensUpdated 1 mo ago
    Auto-check passed

Works with

Questions about Lark Minutes

What does Lark Minutes do?

飞书妙记:妙记相关基本功能。1.查询妙记列表(按关键词/所有者/参与者/时间范围);2.获取妙记基础信息(标题、封面、时长 等);3.下载妙记音视频文件;4.获取妙记相关 AI 产物(总结、待办、章节);5.上传音视频生成妙记,也支持将本地音视频文件转成纪要、逐字稿、文字稿、撰写文字等产物。遇到这类请求时,应优先使用本 skill,而不是尝试 ffmpeg、whisper…. Lark Minutes is an agent skill from appleweiping/WEIPING_WIKI.

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 appleweiping/WEIPING_WIKI --skill lark-minutes -a claude-code`. Or copy the skill folder (skill/lark-cli/skills/lark-minutes in appleweiping/WEIPING_WIKI) 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 appleweiping/WEIPING_WIKI --skill lark-minutes -a codex`. Or copy the skill folder (skill/lark-cli/skills/lark-minutes in appleweiping/WEIPING_WIKI) 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 appleweiping/WEIPING_WIKI --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 MIT 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 1.6k tokens (SKILL.md is roughly 6.4k 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 5.4k 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 (rongxinzy/RongxinAI, 154 stars), Shorts Video Maker (uxjoseph/content-marketing-team, 107 stars), Vlog Auto Edit (znyupup/ai-video-editing-skill, 150 stars) and Watch (mathiaschu/watch, 142 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lark Minutes?

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.