lark-workflow-meeting-summary
SkillCommunityTranslated from ChineseThis skill aggregates meeting minutes within a specified time range to generate structured reports. It is designed for users who need to summarize recent meetings, create weekly meeting reports, or review meeting content over a period of time.
npx skills add open.feishu.cn/lark-workflow-meeting-summaryMeeting Minutes Summary Workflow
CRITICAL, Before starting, you MUST use the Read tool to read ../lark-shared/SKILL.md, which contains information on authentication and permission handling. Then read ../lark-vc/SKILL.md to understand operations related to meeting minutes.
CRITICAL, Before starting, you MUST use the Read tool to read ../lark-vc/references/vc-domain-boundaries.md. Failure to read this will lead to errors in command usage, decision making regarding meeting artifacts, and judgment of domain boundary responsibilities:
- Understand the relationship and division of responsibilities between Calendar & VC, and Meeting Artifacts & Documents.
- Understand the relationship between meeting artifacts (Minutes and Transcripts), for example: The generation conditions for Minutes and Transcripts are independent of each other.
- Understand the components of different meeting artifacts to decide which artifact data to use based on requirements.
- Understand the standard process for meeting summarization, analysis, and information extraction.
Applicable Scenarios
- "Help me organize this week's meeting minutes" / "Summarize recent meetings" / "Generate a weekly meeting report"
- "See what meetings were held today" / "Review the meetings held over the past week"
Prerequisites
Only user identity is supported. Ensure authorization is granted before execution:
lark-cli auth login --domain vc # Basic (Query + Minutes)
lark-cli auth login --domain vc,drive # Includes reading minute document content and generating documents
Workflow
{Time Range} ─► vc +search ──► Meeting List (meeting_ids)
│
▼
vc +notes ──► Minutes document tokens
│
▼
drive metas batch_query Minutes metadata
│
▼
Structured Report
Step 1: Determine the Time Range
Default is the past 7 days. Inference rules: "today" -> current day, "this week" -> Monday of this week to now, "last week" -> Monday to Sunday of last week, "this month" -> 1st to now.
Note: Date conversion must call system commands (such as
date); do not calculate mentally. Time range parameters must be formatted according to actual CLI requirements (usuallyYYYY-MM-DDor ISO 8601).
Step 2: Query Meeting Records
# page-size maximum is 30
lark-cli vc +search --start "<YYYY-MM-DD>" --end "<YYYY-MM-DD>" --format json --page-size 30
- Time range splitting: The maximum search time range is 1 month. To search for a longer time range, it must be split into multiple queries of one month each.
--endis the date including the current day (i.e., when checking "today", fill in today for both start and end).--format jsonoutputs in JSON format; you are better at parsing JSON data.--page-size 30maximum 30 items per page.- When
page_tokenexists, you must continue to paginate and collect allidfields (meeting-id).
Step 3: Obtain Minutes Metadata
- Query meeting-related minutes information
lark-cli vc +notes --meeting-ids "id1,id2,...,idN"
- Query meeting minutes based on the
meeting-idcollected in the previous step. - A maximum of 50 minutes can be queried in a single batch; if more than 50, batch calls are required.
- Some meetings return
no notes available; mark these as "No minutes" in the final output. - Record the
note_doc_token(Minutes document Token) andverbatim_doc_token(Transcript document Token) for each meeting.
- Obtain links for Minutes documents and Transcript documents
# Learn command usage
lark-cli schema drive.metas.batch_query
# Batch obtain links for minutes and transcripts: maximum 10 documents per query
lark-cli drive metas batch_query --data '{"request_docs": [{"doc_type": "docx", "doc_token": "<doc_token>"}], "with_url": true}'
Step 4: Organize the Minutes Report
Select the output format based on the time span:
- Single-day summary ("today"/"yesterday"): Use the title "Today's Meeting Overview", and list the meeting time, topic, minutes link, and transcript link for each meeting.
- Multi-day/Weekly report ("this week"/"past 7 days", etc.): Use the title "Meeting Minutes Weekly Report", including overview statistics and details for each meeting.
Step 5: Generate Document (Optional, when requested by the user)
Read ../lark-doc/SKILL.md to learn cloud document skills.
lark-cli docs +create --api-version v2 --doc-format markdown --content $'<title>Meeting Minutes Summary (<start> - <end>)</title>\n<Content>'
# Or append to an existing document
lark-cli docs +update --api-version v2 --doc "<url_or_token>" --command append --doc-format markdown --content $'<Content>'
References
- lark-shared, Authentication, permissions (Must read)
- lark-vc, Detailed usage of
+search,+notes - lark-doc, Detailed usage of
+fetch,+create,+update
会议纪要汇总工作流
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。然后阅读 ../lark-vc/SKILL.md,了解会议纪要相关操作。
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
适用场景
- "帮我整理这周的会议纪要" / "总结最近的会议" / "生成会议周报"
- "看看今天开了哪些会" / "回顾过去一周开了哪些会"
前置条件
仅支持 user 身份。执行前确保已授权:
lark-cli auth login --domain vc # 基础(查询+纪要)
lark-cli auth login --domain vc,drive # 含读取纪要文档正文、生成文档
工作流
{时间范围} ─► vc +search ──► 会议列表 (meeting_ids)
│
▼
vc +notes ──► 纪要文档 tokens
│
▼
drive metas batch_query 纪要元数据
│
▼
结构化报告
Step 1: 确定时间范围
默认过去 7 天。推断规则:"今天"→当天,"这周"→本周一now,"上周"→上周一上周日,"这个月"→1日~now。
注意:日期转换必须调用系统命令(如
date),不要心算。时间范围参数需根据 CLI 实际要求格式化(通常为YYYY-MM-DD或 ISO 8601)。
Step 2: 查询会议记录
# page-size 最大为 30
lark-cli vc +search --start "<YYYY-MM-DD>" --end "<YYYY-MM-DD>" --format json --page-size 30
- 时间范围拆分:搜索的时间范围最大为 1 个月。搜索更长时间范围的会议,需要拆分为多次时间范围为一个月查询。
--end为包含当天的日期(即查"今天"时 start 和 end 都填今天)--format json输出 JSON 格式,你更佳擅长解析 JSON 数据。--page-size 30每页最多 30 条。- 有
page_token时必须继续翻页,收集所有id字段(meeting-id)
Step 3: 获取纪要元数据
- 查询会议关联的纪要信息
lark-cli vc +notes --meeting-ids "id1,id2,...,idN"
- 根据上一步搜集到的
meeting-id查询会议纪要。 - 单次最多查询 50 个纪要信息,超过 50 个需分批调用。
- 部分会议返回
no notes available,在最终输出中标注"无纪要" - 记录每个会议的
note_doc_token(纪要文档 Token)和verbatim_doc_token(逐字稿文档 Token)
- 获取纪要文档和逐字稿文档链接
# 学习命令使用方式
lark-cli schema drive.metas.batch_query
# 批量获取纪要文档与逐字稿链接: 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}'
Step 4: 整理纪要报告
根据时间跨度选择输出格式:
- 单日汇总("今天"/"昨天"):用"今日会议概览"标题,逐会议列出会议时间、主题、纪要链接、逐字稿链接。
- 多日/周报("这周"/"过去 7 天"等):用"会议纪要周报"标题,含概览统计、逐会议详情。
Step 5: 生成文档(可选,用户要求时)
阅读 ../lark-doc/SKILL.md 学习云文档技能。
lark-cli docs +create --api-version v2 --doc-format markdown --content $'<title>会议纪要汇总 (<start> - <end>)</title>\n<内容>'
# 或追加到已有文档
lark-cli docs +update --api-version v2 --doc "<url_or_token>" --command append --doc-format markdown --content $'<内容>'
参考
- lark-shared — 认证、权限(必读)
- lark-vc —
+search、+notes详细用法 - lark-doc —
+fetch、+create、+update详细用法
Installs
210,412First seen
Jun 12, 2026
Auto-fetched from GitHub .
Stats via skills.sh.
Skills similar to lark-workflow-meeting-summary:
Installs
Installs
Installs