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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 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=dtyq-magic-backend-super-magic-agents-skills-lark-cli-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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
Agent 识别该技能的关键词,点击任意一个即可复制。

该技能未提供触发词。

下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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