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lark-cli

Use when the user wants to interact with Lark/Feishu in any way — including but not limited to: reading, querying, searching, sending, replying to, forwarding, or downloading Lark/Feishu 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.

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=dtyq-magic-backend-super-magic-agents-skills-lark-cli-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name lark-cli description Use when the user wants to interact with Lark/Feishu in any way — including but not limited to: reading, querying, searching, sending, replying to, forwarding, or downloading Lark/Feishu 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. 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
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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