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lark-workflow-meeting-summary
会议纪要整理工作流:汇总指定时间范围内的会议纪要并生成结构化报告。当用户需要整理会议纪要、生成会议周报、回顾一段时间内的会议内容时使用。
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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会议纪要整理工作流:汇总指定时间范围内的会议纪要并生成结构化报告。当用户需要整理会议纪要、生成会议周报、回顾一段时间内的会议内容时使用。
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
飞书云文档(Docx / Wiki 文档):读取和编辑飞书文档内容。当用户给出文档 URL 或 token,或需要查看、创建、编辑文档、插入或下载文档图片附件时使用。文档中嵌入的电子表格、多维表格、画板,先用本 skill 提取 token 再切到对应 skill。当用户给出 doubao.com 的 /docx/ 或 /wiki/ URL/token 时,也应直接使用本 skill;路由依据是 URL 路径模式和 token,而不是域名。不负责文档评论管理,也不负责表格或 Base 的数据操作。当用户明确要操作飞书思维笔记时,也使用本 skill。
飞书画板:查询和编辑飞书云文档中的画板。支持导出画板为预览图片、导出原始节点结构、使用多种格式更新画板内容。 当用户需要查看画板内容、导出画板图片、编辑画板时使用此 skill。不负责:飞书云文档内容编辑(lark-doc)、文档内嵌电子表格/Base(lark-sheets / lark-base)。
End-to-end driver that takes a ready-for-review pull request all the way to a clean merge. Use whenever the user wants Claude to shepherd, babysit, watch, or drive a PR to green and merge it — e.g. "take PR #123 through CI and merge it", "babysit this PR until everything is green", "land this PR and clean up". It loops over the PR's checks and reviews: fixes real CI failures (re-running only genuine flakes), replies to every review comment, resolves each conversation, and re-polls until a strict gate passes — all checks actually completed and passing, every thread resolved or outdated, mergeable with no required approval outstanding — not merely "looks fixed". Then it merges with the repo's preferred method, deletes the remote branch unless it is long-lived, removes the local branch and git worktree, and fast-forwards local main/master. Trigger even when the user only describes the outcome ("get this merged once CI is happy") without naming the steps.
Structured pedagogical deep-dive for new substantive topics across STEM, technical/engineering practice, and humanities/business/history. Use this skill whenever the user asks to learn, understand, deep-dive, explore, or be taught a new concept they don't already have a working model of — including phrasings like "what is X", "how does Y work", "why does Z happen", "explain W", "带我入门 X", "讲讲 X", "教我 X", "我想搞懂 X", even when they don't use the word "teach" or "learn". Trigger especially when the topic is a named concept, framework, theorem, mechanism, technology, historical event, or intellectual movement. Do NOT trigger for quick factual lookups ("when did X happen"), tool/syntax questions ("how do I curl with auth"), conversational chitchat, or mid-flow technical discussion where the user is already engaged on the topic.
Apply whenever you are about to produce written output that an INTERPRETING READER — a human, or another AI agent that will act on your words — will read and act on: emails, IM/Slack, PR or issue descriptions, review comments, design or decision docs, customer-facing copy, AND natural-language task specs, prompts, or agent mandates whose executor is a person or an LLM. Use it even when the user did not ask for "communication" and the message is only a sub-step of a larger task (e.g. the PR body after a feature, or a prompt you are writing for a downstream agent) — those incidental cases are where audience-blind writing slips through, so reach for this proactively. It makes you model the reader's actual capability and what they will infer or assume, then emit only the calibrated artifact. Do NOT use for output consumed literally by a deterministic interpreter — executed code, configs, schemas, queries, regexes, test fixtures — where correctness is binary and there is no mind to model.
Use Manus for async tasks that exceed local tools: broad research, deliverables such as PDF/PPT/CSV, connector-based work, or long multi-step jobs. Create a task, poll or receive webhooks, then fetch results with the bundled script.
| name | lark-workflow-meeting-summary |
| version | 1.0.0 |
| description | 会议纪要整理工作流:汇总指定时间范围内的会议纪要并生成结构化报告。当用户需要整理会议纪要、生成会议周报、回顾一段时间内的会议内容时使用。 |
| metadata | {"requires":{"bins":["lark-cli"]}} |
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
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
{时间范围} ─► vc +search ──► 会议列表 (meeting_ids)
│
▼
vc +detail ──► 获取 note_id
│
▼
note +detail ──► 纪要文档 tokens
│
▼
drive metas batch_query 纪要元数据
│
▼
结构化报告
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)。
# page-size 最大为 30
lark-cli vc +search --start "<YYYY-MM-DD>" --end "<YYYY-MM-DD>" --format json --page-size 30
--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。page_token 时必须继续翻页,收集所有 id 字段(meeting-id)# 首先获取 note_id 和 minute_token
lark-cli vc +detail --meeting-ids "id1,id2,...,idN"
# 然后用 note_id 获取文档 tokens(如有多个需分别获取)
lark-cli note +detail --note-id "note_id"
meeting-id 查询。note_id 或报错 no notes available,在最终输出中标注"无纪要"。note_id(纪要 ID)、note_display_type(展示类型:unknown / normal / unified)、note_doc_token(纪要文档 Token)和 verbatim_doc_token(逐字稿文档 Token)。逐字稿路由按
note_display_type决定(详见 vc-domain-boundaries.md 的 Note 域):
normal:逐字稿是独立文档,链接/正文走verbatim_doc_token。unified:逐字稿不是独立文档,没有可分享的逐字稿文档链接;需要逐字稿内容时用note +transcript --note-id <note_id>(lark-note)拉取到本地,报告中标注"unified 纪要"即可。
# 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
# 仅对 note_doc_token 与 normal 纪要的 verbatim_doc_token 查询链接
lark-cli drive metas batch_query --data '{"request_docs": [{"doc_type": "docx", "doc_token": "<doc_token>"}], "with_url": true}'
根据时间跨度选择输出格式:
unified 纪要无逐字稿链接,标注"unified 纪要,逐字稿需 note +transcript 拉取")。阅读 ../lark-doc/SKILL.md 学习云文档技能。
lark-cli docs +create --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 --doc "<url_or_token>" --command append --doc-format markdown --content $'<内容>'
+search、+detail 详细用法note +detail、note +transcript(unified 纪要逐字稿)+fetch、+create、+update 详细用法