lark-calendar

larksuite/cli · updated Apr 8, 2026

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$npx skills add https://github.com/larksuite/cli --skill lark-calendar
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summary

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 — 所有的 Shortcuts 在执行之前,务必先使用 Read 工具读取其对应的说明文档,禁止直接盲目调用命令。
skill.md

calendar (v4)

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 — 所有的 Shortcuts 在执行之前,务必先使用 Read 工具读取其对应的说明文档,禁止直接盲目调用命令。

核心场景

日历技能包含以下核心场景:

1. 预约日程

这是日历技能最核心的场景,核心是让用户低成本地实现日程预约。

💡 核心原则:做智能助理,提供辅助决策,而不是表单填写机或替用户做主。

时间与日期推断规范: 为确保准确性,在涉及时间推断时,请严格遵循以下规则:

  • 星期的定义:周一是一周的第一天,周日是一周的最后一天。计算下周一等相对日期时,务必基于当前真实日期和星期基准进行推算,避免算错日期。
  • 一天的范围:当用户提到明天今天等泛指某一天时,时间范围应默认覆盖整天时间范围。切勿自行缩减查询范围,以免遗漏晚上的时间安排。
  • 历史时间约束:不能预约已经完全过去的时间。唯一的例外情况是“跨越当前时间”的日程,即日程的开始时间在过去,但结束时间在未来。

预约日程的工作流:

  1. 智能推断默认值

    • 标题,参与人,时长均存在默认值,无需频繁的和用户确认。
    • 参会人:如未明确指定其他人,默认参会人仅为用户自己。当搜索特定参与人(人、群、会议室)出现多个结果无法唯一确定时,必须询问用户进行选择确认,并将该偏好记录为长期记忆,以便后续自动识别。
    • 会议室:目前不支持主动预定会议室,除非当前上下文中已经存在对应的会议室ID(omm_ 前缀) 且需要添加到日程中。
    • 标题:根据对话上下文自动生成(例如“沟通对齐”或“需求讨论”),如无法推断则默认为“会议”。
    • 时长:基于会议类型和上下文动态推断(例如:“评审/汇报”推断为 60 分钟等),如无法推断,则默认为 30 分钟。
  2. 时间建议与辅助决策(核心体验)

    • 有明确时间点(如明早10点):调用相关工具(如 lark-cli calendar +freebusy lark-calendar-freebusy)先查询该时间段参会人的忙闲状态(注:若参会人已有日程的 RSVP 状态为拒绝,则认为该时段为空闲)。若均无冲突,直接进入下一步确认并创建;若有冲突,提示用户冲突情况并询问是否继续创建或重新选择时间。
    • 有时间区间(如明天下午本周):调用相关工具(如 lark-cli calendar +suggestion lark-calendar-suggestion)获取该区间内所有参会人的多个时间推荐方案供用户选择。必须在用户确认方案后,才能执行创建日程操作;且用户一旦选择了推荐的方案,无需再次查询忙闲信息
    • 无任何时间信息:默认推断一个合理区间(如“今天”或“近两天”),并同样获取多个时间推荐方案供用户快速选择。
    • 生活类需求(如健身、游泳、遛弯、约饭、奶茶等,注意“约咖啡”算工作场景):预期不调用 suggestion 工具。应自行推断合适的非工作时间给到用户确认。如果无法推断,请尝试主动询问用户,并在用户给出反馈后形成记忆,以便后续直接应用。
    • 模糊语义消解与长期记忆构建 (Aha Moment):针对用户专属的时间表达习惯(如“上班后”、“下班前”)或存在歧义的时间场景(如未指明上下午的12小时制),严禁主观臆断。应通过主动澄清明确真实意图,并将此类个性化定义沉淀为长期偏好,推动系统认知能力的持续进化,最终实现“下次即懂”的智能化体验。
  3. 非阻断式执行

    • 待用户确认具体时间选项后,执行 lark-cli calendar +create --summary "..." --start "..." --end "..." --attendee-ids ...
  4. 友好反馈

    • 报告结果:返回创建成功的日程摘要信息

核心概念

  • 日历(Calendar):日程的容器。每个用户有一个主日历(primary calendar),也可以创建或订阅共享日历。
  • 日程(Event):日历中的单个日程,包含起止时间、地点、标题、参与人等属性。支持单次日程和重复日程,遵循RFC5545 iCalendar国际标准。
  • 全天日程(All-day Event): 只按日期占用、没有具体起止时刻的日程,结束日期是包含在日程时间内的。
  • 日程实例(Instance):日程的具体时间实例,本质是对日程的展开。普通日程和例外日程对应1个Instance,重复性日程对应N个Instance。在按时间段查询时,可通过实例视图将重复日程展开为独立的实例返回,以便在时间线上准确展示和管理。
  • 重复规则(Rrule/Recurrence Rule):定义重复性日程的重复规则,比如FREQ=DAILY;UNTIL=20230307T155959Z;INTERVAL=14表示每14天重复一次。
  • 例外日程(Exception):重复性日程中与原重复性日程不一致的日程。
  • 参会人(Attendee):日程的参与者,可以是用户、群、会议室资源、外部邮箱地址等。每个参与人有独立的RSVP状态。
  • 响应状态(RSVP):参与人对日程邀请的回复状态(接受/拒绝/待定)。
  • 忙闲时间(FreeBusy):查询用户在指定时间段的忙闲状态,用于会议时间协调。

资源关系

Calendar (日历)
└── Event (日程)
    ├── Attendee (参会人)
    └── Reminder (提醒)

Shortcuts(推荐优先使用)

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

Shortcut 说明
+agenda 查看日程安排(默认今天)
+create 创建日程并邀请参会人(ISO 8601 时间)
+freebusy 查询用户主日历的忙闲信息和rsvp的状态
+rsvp 回复日程(接受/拒绝/待定)
+suggestion 针对时间未确定的预约日程需求,提供多个时间推荐方案

+suggestion 使用

在调用 +suggestion 之前,务必读取 lark-calendar-suggestion 中的使用说明,禁止直接调用命令。

lark-cli calendar +suggestion --start "2026-03-10T00:00:00+08:00" --end "2026-03-10T11:00:00+08:00" --attendee-ids "ou_xxx,oc_yyy" --duration-minutes 30 # 为用户ou_xxx和群组oc_yyy里的成员推荐空闲时段

API Resources

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

calendars

  • create — 创建共享日历
  • delete — 删除共享日历
  • get — 查询日历信息
  • list — 查询日历列表
  • patch — 更新日历信息
  • primary — 查询用户主日历
  • search — 搜索日历

event.attendees

  • batch_delete — 删除日程参与人
  • create — 添加日程参与人
  • list — 获取日程参与人列表

events

  • create — 创建日程
  • delete — 删除日程
  • get — 获取日程
  • instance_view — 查询日程视图
  • patch — 更新日程
  • search — 搜索日程

freebusys

  • list — 查询主日历日程忙闲信息

权限表

方法 所需 scope
calendars.create calendar:calendar:create
calendars.delete calendar:calendar:delete
calendars.get calendar:calendar:read
calendars.list calendar:calendar:read
calendars.patch calendar:calendar:update
calendars.primary calendar:calendar:read
calendars.search calendar:calendar:read
event.attendees.batch_delete calendar:calendar.event:update
event.attendees.create calendar:calendar.event:update
event.attendees.list calendar:calendar.event:read
events.create calendar:calendar.event:create
events.delete calendar:calendar.event:delete
events.get calendar:calendar.event:read
events.instance_view calendar:calendar.event:read
events.patch calendar:calendar.event:update
events.search calendar:calendar.event:read
freebusys.list calendar:calendar.free_busy:read

注意(强制性):

  • 涉及日期(时间)字符串与时间戳的相互转换时,务必调用系统命令或脚本代码等外部工具进行处理,以确保转换的绝对准确。违者将导致严重的逻辑错误!
how to use lark-calendar

How to use lark-calendar on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add lark-calendar
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/larksuite/cli --skill lark-calendar

The skills CLI fetches lark-calendar from GitHub repository larksuite/cli and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/lark-calendar

Reload or restart Cursor to activate lark-calendar. Access the skill through slash commands (e.g., /lark-calendar) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.772 reviews
  • Valentina Malhotra· Dec 28, 2024

    Registry listing for lark-calendar matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Ama Smith· Dec 20, 2024

    lark-calendar is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sophia Sharma· Dec 16, 2024

    Keeps context tight: lark-calendar is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Benjamin Ghosh· Dec 16, 2024

    Useful defaults in lark-calendar — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Kwame Abbas· Dec 16, 2024

    Useful defaults in lark-calendar — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Hiroshi Kapoor· Dec 12, 2024

    lark-calendar has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Shikha Mishra· Dec 4, 2024

    I recommend lark-calendar for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Noor Ndlovu· Nov 23, 2024

    lark-calendar reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Zaid Okafor· Nov 19, 2024

    Solid pick for teams standardizing on skills: lark-calendar is focused, and the summary matches what you get after install.

  • Sophia Zhang· Nov 11, 2024

    Keeps context tight: lark-calendar is the kind of skill you can hand to a new teammate without a long onboarding doc.

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