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
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionlark-minutesExecute the skills CLI command in your project's root directory to begin installation:
Fetches lark-minutes from larksuite/cli and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate lark-minutes. Access via /lark-minutes in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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
https://*.feishu.cn/minutes/obcnq3b9jl72l83w4f14xxxx 中的最后一段字符串 obcnq3b9jl72l83w4f14xxxx）。提取 Token：
minute_token 参数是必填的。?xxx），请截取路径部分的最后一段作为 token。https://domain.feishu.cn/minutes/obc123456?project=xxx 中提取出 obc123456。获取妙记信息：
lark-cli schema minutes.minutes.get 可以查看具体的返回值结构。title：会议标题cover：视频/音频封面 URLduration：会议时长（毫秒）owner_id：所有者 IDurl：妙记链接# 首先查询妙记元信息（标题、时长、封面） → 用本 skill
lark-cli minutes minutes get --params '{"minute_token": "obcn***************"}'
# 查妙记关联的纪要产物：逐字稿、总结、待办、章节等 → 用 lark-cli vc +notes
lark-cli vc +notes --minute-tokens obcnhijv43vq6bcsl5xasfb2
本 skill 仅提供妙记基础元信息查询（标题、封面、时长）。如需获取纪要内容（逐字稿、AI 总结、待办、章节），请使用 lark-cli vc +notes：
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 |
|---|---|
+download |
Download audio/video media file of a minute |
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。
# 下载音视频文件到本地
lark-cli minutes +download --minute-tokens obcnq3b9jl72l83w4f149w9c --output ./meeting.mp4
# 仅获取下载链接
lark-cli minutes +download --minute-tokens obcnq3b9jl72l83w4f149w9c --url-only
# 批量下载
lark-cli minutes +download --minute-tokens obcnq3b9jl72l83w4f149w9c,obcnexa7814k4t41c446fzwj
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。
get — 获取妙记信息| 方法 | 所需 scope |
|---|---|
minutes.get |
minutes:minutes:readonly |
+download |
minutes:minutes.media:export |
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
I recommend lark-minutes for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: lark-minutes is focused, and the summary matches what you get after install.
lark-minutes reduced setup friction for our internal harness; good balance of opinion and flexibility.
lark-minutes is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added lark-minutes from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend lark-minutes for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: lark-minutes is the kind of skill you can hand to a new teammate without a long onboarding doc.
lark-minutes has been reliable in day-to-day use. Documentation quality is above average for community skills.
lark-minutes reduced setup friction for our internal harness; good balance of opinion and flexibility.
lark-minutes is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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