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
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add larksuite/cli --skill lark-mailCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionlark-mailExecute the skills CLI command in your project's root directory to begin installation:
epx add larksuite/cli --skill lark-mailFetches lark-mail 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:
.cursor/skills/lark-mail
Restart Cursor to activate lark-mail. Access via /lark-mailin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
beautiful-mermaid
intellectronica/agent-skills · AI/ML · same category
ai-video-generation
inference-sh/skills · AI/ML · same category
brainstorm
buiducnhat/agent-skills · AI/ML · same category
aiogram-framework
narumiruna/telegram-bot · AI/ML · same category
qq-email
shadowcz007/skills · AI/ML · same category
pretty-mermaid
imxv/pretty-mermaid-skills · AI/ML · same category
We added lark-mail from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in lark-mail — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
lark-mail has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend lark-mail for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
lark-mail fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: lark-mail is focused, and the summary matches what you get after install.
lark-mail is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: lark-mail is the kind of skill you can hand to a new teammate without a long onboarding doc.
lark-mail has been reliable in day-to-day use. Documentation quality is above average for community skills.
lark-mail reduced setup friction for our internal harness; good balance of opinion and flexibility.
showing 1-10 of 57