lark-cli

Use when the user wants to interact with Lark/Feishu/飞书 in any way — including but not limited to: reading, querying, searching, sending, replying to, forwarding, or downloading Lark/Feishu/飞书 IM messages and chat history; managing group chats; listing, viewing, searching, creating, or editing cloud docs/files, Drive, Markdown, spreadsheets, Base tables, wiki, whiteboards, slides, apps, calendars/events/meeting rooms, contacts/org structure, tasks/todos, approvals, attendance, mail, minutes, VC notes, OKRs, real-time events, or custom Lark CLI skills. Load this skill first to find the right sub-skill.

Quality

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Lark Skill Index

This skill is a directory. Find the sub-skill that matches the user's intent, load it with read_skills, then proceed. All sub-skills are pre-installed at ~/.agents/skills/.

Prerequisite: Load lark-shared First

Before any Lark operation, load lark-shared first — it covers CLI initialization, identity switching (user/bot), scope management, and common error handling.

read_skills(skill_names=["lark-shared"])

Sub-skill Directory

Load the skill that matches the user's request. Only load what you need for the current task.

User intent	Load skill
Develop or deploy HTML apps and web pages	`lark-apps`
Wrap Lark API operations into a reusable custom Skill (atomic API wrapper or multi-step workflow)	`lark-skill-maker`
Send/receive messages, list P2P or group-chat messages, search chat history across chats, manage groups, upload/download chat files, batch get messages, list thread messages	`lark-im`
View/create/update events, manage attendees, check availability, book meeting rooms	`lark-calendar`
Query org structure, search employees, get user details	`lark-contact`
Create/edit Lark docs, search cloud drive documents	`lark-doc`
Manage cloud drive files/folders, upload/download, permissions, comments, rename files	`lark-drive`
Create/fetch/overwrite Drive-native Markdown files	`lark-markdown`
Create and operate spreadsheets, read/write cells, append rows, export	`lark-sheets`
Operate Base (multi-dimensional tables): create tables, manage fields, read/write records, views, workflows	`lark-base`
Create and manage presentations (slides)	`lark-slides`
Query and edit whiteboards, export whiteboard images	`lark-whiteboard`
Manage wiki spaces, space members, document node hierarchy	`lark-wiki`
Create todos, view/update task status, manage task lists	`lark-task`
Approval instance and approval task management	`lark-approval`
Query attendance and punch-in records	`lark-attendance`
Send/receive mail, manage drafts, folders, labels, contacts, mail rules	`lark-mail`
Query Minutes list, get Minutes info and AI artifacts (summary/todos/chapters)	`lark-minutes`
Query VC meeting records, get meeting note artifacts	`lark-vc`
Manage OKR objectives, key results, alignments, indicators, and progresses	`lark-okr`
Subscribe to real-time Lark events (messages, contact changes, calendar changes, etc.)	`lark-event`
Above skills insufficient; need to call native Lark OpenAPI directly	`lark-openapi-explorer`
Summarize meeting notes over a time range into a structured report	`lark-workflow-meeting-summary`
Generate daily/weekly agenda and unfinished task summary (standup/daily report)	`lark-workflow-standup-report`

Load Examples

read_skills(skill_names=["lark-shared", "lark-im"])
read_skills(skill_names=["lark-shared", "lark-calendar"])
read_skills(skill_names=["lark-shared", "lark-base"])

When Unsure About a Command

For any lark-cli subcommand, if parameters or usage are unclear, run it with --help — do not guess.

lark-cli --help
lark-cli <command> --help
lark-cli <command> <subcommand> --help

Examples:

lark-cli im --help
lark-cli calendar events --help
lark-cli base record --help

Repository: dtyq/magic
Path: backend/super-magic/agents/skills/lark-cli/SKILL.md
Commit: 41d7ef4

Last updated: about 13 hours ago
First committed: about 2 months ago

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.