dws

Original：🇨🇳 Chinese

Translated

27 scripts

Manage DingTalk product capabilities (AI Table/Calendar/Contacts/Documents/Robots/Todo/Email/Meeting Minutes/AI Applications/Approvals/Work Reports/Drive, etc.). Use this when users need to operate table data, manage schedules and meetings, query contacts, send message notifications, handle approval processes, view meeting minute summaries, create applications/systems/management backends/business tools, view daily/weekly reports, or manage DingTalk Drive files.

2installs

Sourcestvlynn/dingtalk-wukong-skills

Added on2026-03-19

NPX Install

npx skill4agent add stvlynn/dingtalk-wukong-skills dws

SKILL.md Content (Chinese)

View Translation Comparison →

DingTalk Full Product Skill

Manage DingTalk product capabilities via the

dws

command.

STRICTLY PROHIBITED (NEVER DO)

NEVER use methods other than the dws command for operations (curl, HTTP API, browsers are prohibited)
NEVER fabricate identifiers like UUID or ID; must extract them from command returns
NEVER guess field names/parameter values; must query and confirm before operations

STRICTLY REQUIRED (MUST DO)

All commands must include
```
--format json
```
to get parsable output
Add
```
--yes
```
and confirm with the user before performing delete operations
Batch operations must not exceed 100 records at a time
All commands must strictly follow the parameter formats specified in the corresponding product reference documents (e.g., if there is a parameter value, at least one space must separate the parameter and its value)

Product Overview

Product	Purpose	Reference Document
`aitable`	AI Table: CRUD operations for tables/data tables/fields/records, template search	aitable.md
`calendar`	Calendar: Schedule/participant/conference room/busy-free query	calendar.md
`contact`	Contacts: User queries(current user/search/details)/department queries(search/sub-departments/member lists)	contact.md
`doc`	Documents: Search/browse/read/create/update documents, folder management, block-level editing	doc.md
`chat`	Group Chat: Group management(creation/search/member addition/removal/name modification), messages(pull/send/bot mass sending/Webhook), bot search	chat.md
`todo`	Todo: Creation(with priority/deadline)/query/modification/mark as complete/delete	todo.md
`mail`	Email: Email query/search/view/send	mail.md
`minutes`	AI Meeting Minutes: List/summary/transcription/keyword/title modification	minutes.md
`report`	Work Reports: Inbox/sent/templates view/details/read statistics	report.md
`drive`	DingTalk Drive: Browse files/metadata/download/create folders/upload files	drive.md
`ding`	DING Messages: Send/recall(in-app/SMS/phone call)	ding.md
`devdoc`	Open Platform Documents: Search development documents	simple.md
`conference`	Video Conference: Schedule conferences	simple.md
`aiapp`	AI Applications: Create/query/modify AI applications	aiapp.md
`live`	Live Streaming: View live stream list	simple.md
`oa`	OA Approval: Pending tasks/details/approve/revoke/records/initiated tasks	oa.md
`attendance`	Attendance: Check-in records/schedule query	attendance.md

Intent Judgment Decision Tree

When the user mentions "table/multi-dimensional table/AI table/record/data" →

aitable

When the user mentions "schedule/calendar/conference room/appointment" →

calendar

When the user mentions "contacts/colleagues/department/organizational structure" →

contact

When the user mentions "document/knowledge base/write document" →

doc

When the user mentions "todo/TODO/task reminder" →

todo

When the user mentions "mail/email" →

mail

When the user mentions "meeting minutes/conference recording/transcription/AI summary" or provides a meeting minute URL (e.g.,

https://shanji.dingtalk.com/*

) →

minutes

When the user mentions "help me make/build/generate/generate system/AI application/create application/intelligent application" →

aiapp

When the user mentions "DING/urgent message/phone reminder" →

ding

When the user mentions "attendance/check-in/schedule" →

attendance

When the user mentions "group chat/group message/group member/chat history/create group/bot send message/Webhook/notification" →

chat

When the user mentions "approval/OA" →

oa

When the user mentions "development/API/call error document" →

devdoc

When the user mentions "campus recruitment/post position/my candidates" →

ai_sincere_hire

When the user mentions "video conference/schedule conference" →

conference

When the user mentions "live streaming" →

live

When the user mentions "work report/daily report/weekly report/work report statistics" →

report

When the user mentions "DingTalk Drive/file/cloud drive/download file/upload file" →

drive

When the user mentions "enterprise credit/industrial and commercial information/shareholders/judicial documents/risk/trademark/patent/bidding/contact information/KP" →

credit

When the user mentions "legal consultation/laws/legal cases/statutes/legal precedents/legal basis" →

law

Key Distinctions: aitable(data tables) vs doc(document editing) Key Distinctions: report(DingTalk work reports/daily/weekly reports) vs doc(document editing) vs todo(todo tasks) Key Distinctions: drive(DingTalk Drive file storage/upload/download) vs doc(DingTalk Document content read/write/knowledge base space) Key Distinctions: conference(video conference scheduling) vs calendar event(calendar schedule management) Key Distinctions: chat message send(personal identity mass sending) vs send-by-bot(bot message sending) vs send-by-webhook(Webhook alerts)

For more confusing scenarios and user expression examples, see intent-guide.md

Core Process

As an intelligent assistant, your primary task is to understand the user's true and complete intent, rather than simply executing commands. Before selecting a

dws

product command, you must strictly follow these three steps:

Intent Classification: First, determine which category the core verb/action in the user's instruction belongs to. This is more important than focusing on nouns.
Ambiguity Handling and Information Inquiry: If the user's instruction is ambiguous or contains keywords from multiple products, under no circumstances should you guess. You must actively ask the user to clarify their intent. This is your core value as an intelligent assistant rather than a command executor.
Accurate Product Mapping: After completing the first two steps and clarifying the intent, refer to the Product Overview and Intent Judgment Decision Tree to select the appropriate product.
Fully read the product reference documents, and implement the user's intent by writing code or directly calling commands.

Error Handling

When encountering an error, retry once with
```
--verbose
```
If it still fails, report the error message to the user
Prohibit trying alternative solutions on your own
If identity verification fails, you can use dws auth login to log in

Detailed References (Read on Demand)

references/products/ — Detailed reference for each product command
references/intent-guide.md — Intent routing guide (comparison of confusing scenarios)
references/global-reference.md — Global flags, authentication, output format
references/field-rules.md — AI Table field type rules
references/error-codes.md — Error codes + debugging process
scripts/ — AI Table batch operation scripts