Feishu Doc
openclaw/openclaw
Feishu document read/write workflows. An agent skill from openclaw/openclaw.
飞书视频会议:搜索历史会议、查询会议纪要产物(总结、待办、章节、逐字稿)、查询会议参会人快照。1. An agent skill from appleweiping/WEIPING_WIKI.
$ npx skills add appleweiping/WEIPING_WIKI --skill lark-vc -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install appleweiping/WEIPING_WIKI lark-vc --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-cli/skills/lark-vc .claude/skills/lark-vc && 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-vc" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/skills/lark-vc into .claude/skills/lark-vc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-vc", 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-cli/skills/lark-vcType 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-vc -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install appleweiping/WEIPING_WIKI lark-vc --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-cli/skills/lark-vc .agents/skills/lark-vc && 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-vc" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/skills/lark-vc into .agents/skills/lark-vc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-vc", 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-vc -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install appleweiping/WEIPING_WIKI lark-vc --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-cli/skills/lark-vc .cursor/skills/lark-vc && 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-vc" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/skills/lark-vc into .cursor/skills/lark-vc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-vc", 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-cli/skills/lark-vc--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-vc -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install appleweiping/WEIPING_WIKI lark-vc --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-cli/skills/lark-vc .gemini/skills/lark-vc && 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-vc" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/skills/lark-vc into .gemini/skills/lark-vc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-vc", 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-vcInstalls 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-vc -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-cli/skills/lark-vc .github/skills/lark-vc && 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-vc" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/skills/lark-vc into .github/skills/lark-vc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-vc", 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-vc -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-vc --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-cli/skills/lark-vc .opencode/skills/lark-vc && 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-vc" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/skills/lark-vc into .opencode/skills/lark-vc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-vc", 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.
lark-vc飞书视频会议:搜索历史会议、查询会议纪要产物(总结、待办、章节、逐字稿)、查询会议参会人快照。1. An agent skill from appleweiping/WEIPING_WIKI.
Lark Vc is an agent skill from appleweiping/WEIPING_WIKI. 飞书视频会议:搜索历史会议、查询会议纪要产物(总结、待办、章节、逐字稿)、查询会议参会人快照。1. 查询已经结束的会议数量或详情时使用本技能(如历史日期|昨天|上周|今天已经开过的会议等场景),查询未开始的会议日程使用 lark-calendar 技能。2. 支持通过关键词、时间范围、组织者、参与者、会议室等筛选条件搜索会议。3. 获取或整理会议纪要、逐字稿、录制产物时使用本技能。4. 查询“谁参加过某会议”“参会人列表”等参会人快照信息用 vc meeting get --with-participants(任意时点可查,含已结束会议)。注意:Agent 真实入会/离会、感知正在进行中会议的实时事件请使用 lark-vc-agent 技能,本技能不覆盖写操作和会中事件流。
Its SKILL.md is about 1.8k 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-vc-notes.md`, `references/lark-vc-recording.md` and `references/lark-vc-search.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.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 76fdc42. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Lark Vc loads about 1.8k tokens when it runs, and up to ~6.5k if it reads all its reference files. Until then it costs about 88 tokens; SKILL.md has 306 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.
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.
The full file from appleweiping/WEIPING_WIKI at commit 76fdc42, republished under its MIT licence (© appleweiping). 306 words, ~1,796 tokens.
.claude/skills/lark-vc/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.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
+search)。note_doc_token。meeting_notes。仅通过 --calendar-event-ids 路径返回。note_doc_token)内容时,纪要文档的第一个 <whiteboard> 标签是封面图(AI 生成的总结可视化),应同时下载展示给用户:# 1. 读取纪要内容
lark-cli docs +fetch --api-version v2 --doc <note_doc_token> --doc-format markdown
# 2. 从返回的 markdown 中提取第一个 <whiteboard token="xxx"/> 的 token
# 3. 下载封面图到聚合目录(和逐字稿、录像同目录,保持产物归拢)
# 并非所有纪要都有封面画板,没有 <whiteboard> 标签时跳过即可
lark-cli docs +media-download --type whiteboard --token <whiteboard_token> --output ./minutes/<minute_token>/cover产物目录规范:同一会议的所有下载产物(录像、逐字稿、封面图等)统一放到
./minutes/{minute_token}/目录下。这与minutes +download和vc +notes --minute-tokens的默认落点保持一致,便于 Agent 聚合。显式路径(如封面图)需手动对齐到同一目录。
纪要相关文档 — 根据用户意图选择:
note_doc_token→ AI 智能纪要(AI 总结 + 待办 + 章节)meeting_notes→ 用户绑定的会议纪要(用户主动关联到会议的文档,仅--calendar-event-ids路径返回)verbatim_doc_token→ 逐字稿(完整的逐句文字记录,含说话人和时间戳)— 用户说"逐字稿""完整记录""谁说了什么"时用这个- 用户说"纪要""总结""纪要内容"时,应同时返回
note_doc_token和meeting_notes(如有)- 用户意图不明确时,应展示所有文档链接让用户选择,而不是替用户决定
- 如果用户提供的是本地音视频文件并说"转纪要""转逐字稿",不要直接从
vc +notes开始;应先用 minutes +upload 生成minute_url,再提取minute_token调用vc +notes --minute-tokens
lark-cli drive metas batch_query 查询# 学习命令使用方式
lark-cli schema drive.metas.batch_query
# 批量获取文档基本信息: 一次最多查询 10 个文档
lark-cli drive metas batch_query --data '{"request_docs": [{"doc_type": "docx", "doc_token": "<doc_token>"}], "with_url": true}'lark-cli docs +fetch --api-version v2。# 获取文档内容
lark-cli docs +fetch --api-version v2 --doc <doc_token> --doc-format markdown用户问"谁参加过这场会议""这个会议有哪些参会人""某某参会了吗"等参会人快照类问题时,使用 vc meeting get --with-participants:这是参会人服务端快照 API,不依赖 bot 身份参会,已结束会议也可查:
lark-cli vc meeting get --params '{"meeting_id":"<meeting_id>","with_participants":true}'选型判断表:
| 用户意图 | 推荐命令 | 所在 skill |
|---|---|---|
| 参会人快照(谁参加过、何时入/离会,任意时点) | vc meeting get --with-participants | 本 skill |
| 已结束会议的发言内容 | vc +notes 取 verbatim_doc_token 再 docs +fetch --api-version v2 | 本 skill |
| 进行中会议的实时事件流(转写、聊天、共享、会中加入/离开) | vc +meeting-events | lark-vc-agent |
| Agent 真实入会 / 离会 | vc +meeting-join / vc +meeting-leave | lark-vc-agent |
Meeting (视频会议)
├── Note (会议纪要)
│ ├── MainDoc (AI 智能纪要文档, note_doc_token)
│ ├── MeetingNotes (用户绑定的会议纪要文档, meeting_notes)
│ ├── VerbatimDoc (逐字稿, verbatim_doc_token)
│ └── SharedDoc (会中共享文档)
└── Minutes (妙记) ← minute_token 标识,+recording 从 meeting_id 获取
├── Transcript (文字记录)
├── Summary (总结)
├── Todos (待办)
└── Chapters (章节)注意:
+search只能查询已结束的历史会议。查询未来的日程安排请使用 lark-calendar。优先级:当用户搜索历史会议时,应优先使用
vc +search而非calendar events search。calendar 的搜索面向日程,vc 的搜索面向已结束的会议记录,支持按参会人、组织者、会议室等维度过滤。路由规则:如果用户在问“开过的会”“今天开了哪些会”“最近参加过什么会”“已结束的会议”“历史会议记录”,优先使用
vc +search。只有在查询未来日程、待开的会、agenda 时才优先使用 lark-calendar。妙记边界:
+notes负责纪要内容、逐字稿和 AI 产物;妙记基础信息请优先看+recording与 lark-minutes。文件转纪要边界:如果用户给的是本地音视频文件,并希望得到纪要、逐字稿、总结、待办或章节,入口应先走 lark-minutes 的上传流程生成
minute_url/minute_token,再回到vc +notes --minute-tokens获取内容产物。特殊情况: 当用户查询“今天有哪些会议”时,通过
vc +search查询今天开过的会议记录,同时使用 lark-calendar 技能查询今天还未开始的会议,统一整理后展示给用户。
Shortcut 是对常用操作的高级封装(lark-cli vc +<verb> [flags])。有 Shortcut 的操作优先使用。
| Shortcut | 说明 |
|---|---|
+search | Search meeting records (requires at least one filter) |
+notes | Query meeting notes (via meeting-ids, minute-tokens, or calendar-event-ids) |
+recording | Query minute_token from meeting-ids or calendar-event-ids |
+search 命令时,必须阅读 references/lark-vc-search.md,了解搜索参数和返回值结构。+notes 命令时,必须阅读 references/lark-vc-notes.md,了解查询参数、产物类型和返回值结构。+recording 命令时,必须阅读 references/lark-vc-recording.md,了解查询参数和返回值结构。Agent 参会相关命令已独立:
+meeting-join/+meeting-leave/+meeting-events请使用lark-vc-agent技能。
lark-cli schema vc.<resource>.<method> # 调用 API 前必须先查看参数结构
lark-cli vc <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。
get — 获取会议详情(主题、时间、参会人、note_id)# 获取会议基础信息:不包含参会人列表
lark-cli vc meeting get --params '{"meeting_id": "<meeting_id>"}'
# 获取会议基础信息:包含参会人列表
lark-cli vc meeting get --params '{"meeting_id": "<meeting_id>", "with_participants": true}'get — 获取妙记基础信息(标题、时长、封面);查询纪要内容请用 +notes --minute-tokens <minute-token>| 方法 | 所需 scope |
|---|---|
+notes --meeting-ids | vc:meeting.meetingevent:read、vc:note:read |
+notes --minute-tokens | vc:note:read、minutes:minutes:readonly、minutes:minutes.artifacts:read、minutes:minutes.transcript:export |
+notes --calendar-event-ids | calendar:calendar:read、calendar:calendar.event:read、vc:meeting.meetingevent:read、vc:note:read |
+recording --meeting-ids | vc:record:readonly |
+recording --calendar-event-ids | vc:record:readonly、calendar:calendar:read、calendar:calendar.event:read |
+search | vc:meeting.search:read |
meeting.get | vc:meeting.meetingevent:read |
Agent 参会相关 scope(
vc:meeting.bot.join:write/vc:meeting.meetingevent:read)见lark-vc-agent。
© appleweiping, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in skill/lark-cli/skills/lark-vc of appleweiping/WEIPING_WIKI.
Open the folder on GitHubat commit 76fdc42
Lark Vc 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 Vc this skillappleweiping/WEIPING_WIKI | 119 | — | ~1.8k | 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 |
openclaw/openclaw
Feishu document read/write workflows. An agent skill from openclaw/openclaw.
863401402/she-love-me
Acquire, import, and analyze WeChat or QQ chat histories, including installing supported exporters, guiding required login or contact selection, converting exports, assessing relationship dynamics…
raucvr/Group-Goki
Feishu document read/write operations. An agent skill from raucvr/Group-Goki.
freestylefly/wechat-article-extractor-skill
Extract metadata and content from WeChat Official Account articles.
chenjin-cmd/wechat-miniprogram-builder
This skill should be used when the user wants to build, launch, monetize, or promote a WeChat mini-program with AI (vibe coding) — including topic selection, account registration & ICP filing…
huangruiteng/CS-Notes
A skill your agent uses when you need to control Slack from Clawdbot via the slack tool, including reacting to messages or pinning/unpinning items in Slack channels or DMs.
appleweiping/WEIPING_WIKI
Unified lazy-mode communication assistant for Vipin across WhatsApp, WeChat, QQ, Feishu/Lark, and email.
appleweiping/WEIPING_WIKI
Step 5 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from appleweiping/WEIPING_WIKI.
appleweiping/WEIPING_WIKI
Connect to and control Google Chrome browser using agent-browser with CDP (Chrome DevTools Protocol).
appleweiping/WEIPING_WIKI
Personal Gmail and Google Workspace email assistant for Vipin.
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…
appleweiping/WEIPING_WIKI
Route Feishu/Lark content access for Codex. An agent skill from appleweiping/WEIPING_WIKI.
Categories
飞书视频会议:搜索历史会议、查询会议纪要产物(总结、待办、章节、逐字稿)、查询会议参会人快照。1. An agent skill from appleweiping/WEIPING_WIKI. Lark Vc is an agent skill from appleweiping/WEIPING_WIKI. 飞书视频会议:搜索历史会议、查询会议纪要产物(总结、待办、章节、逐字稿)、查询会议参会人快照。1.
Lark Vc fits situations like: tasks that involve Messaging and chat bots.
Run `npx skills add appleweiping/WEIPING_WIKI --skill lark-vc -a claude-code`. Or copy the skill folder (skill/lark-cli/skills/lark-vc in appleweiping/WEIPING_WIKI) into .claude/skills/lark-vc in your project. Claude Code loads it when a task matches its description.
Run `npx skills add appleweiping/WEIPING_WIKI --skill lark-vc -a codex`. Or copy the skill folder (skill/lark-cli/skills/lark-vc in appleweiping/WEIPING_WIKI) into .agents/skills/lark-vc in your project. Codex loads it when a task matches its description.
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-vc -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-vc, .gemini/skills/lark-vc, .github/skills/lark-vc and .opencode/skills/lark-vc in your project.
SKILL.md names no scripts, command-line tools or credentials: Lark Vc is instructions for the agent only.
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.
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.
Lark Vc is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.2k 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 4.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Lark Vc: 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.
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.