Agent skill

Dingtalk Chat

by DingTalk-Real-AI in DingTalk-Real-AI/dingtalk-workspace-cli

钉钉群聊与消息。Use when 收发/搜索消息、建群、群治理、Bot/Webhook、文件，或仅限 IM 的消息谓词筛选。跨源主题/行为轨迹走 dingtalk-aisearch；DING/班级群走 dingtalk-misc；邮件走 dingtalk-mail。

Apache-2.0Auto-check passedBackend & APIs

Install Dingtalk Chat

skills CLI

$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-chat -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-chat --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/multi/dingtalk-chat .claude/skills/dingtalk-chat && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "dingtalk-chat" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-chat into .claude/skills/dingtalk-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-chat", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-chat

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-chat -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-chat --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/multi/dingtalk-chat .agents/skills/dingtalk-chat && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "dingtalk-chat" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-chat into .agents/skills/dingtalk-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-chat", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-chat -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-chat --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/multi/dingtalk-chat .cursor/skills/dingtalk-chat && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "dingtalk-chat" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-chat into .cursor/skills/dingtalk-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-chat", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli.git --path skills/multi/dingtalk-chat

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-chat -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-chat --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/multi/dingtalk-chat .gemini/skills/dingtalk-chat && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "dingtalk-chat" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-chat into .gemini/skills/dingtalk-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-chat", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-chat

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-chat -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/multi/dingtalk-chat .github/skills/dingtalk-chat && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "dingtalk-chat" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-chat into .github/skills/dingtalk-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-chat", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-chat -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-chat --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/multi/dingtalk-chat .opencode/skills/dingtalk-chat && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "dingtalk-chat" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-chat into .opencode/skills/dingtalk-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-chat", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: dingtalk-chat
GitHub stars: 3.2k
Token cost: ~1.6k tokens
SKILL.md length: 430 words
Files: 19 (incl. references)
Skills in repo: 17
Repo updated: Oct 10, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Works in 3 steps: 零命中/多候选：停止写并消歧，禁默认第一项。 → 参数/确认不明查 leaf Schema；Schema 不可用才查已知 leaf… → 仅 retryable=true…
收发/搜索消息、建群、群治理、Bot/Webhook、文件，或仅限 IM 的消息谓词筛选。跨源主题/行为轨迹走 dingtalk-aisearch；DING/班级群走 dingtalk-misc；邮件走 dingtalk-mail
SKILL.md covers 最小 DWS 执行契约, 对象与路由边界, Shortcut 发现（Shortcut-first） and Golden Route, plus 5 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Dingtalk Chat is an agent skill from DingTalk-Real-AI/dingtalk-workspace-cli. 钉钉群聊与消息。Use when 收发/搜索消息、建群、群治理、Bot/Webhook、文件，或仅限 IM 的消息谓词筛选。跨源主题/行为轨迹走 dingtalk-aisearch；DING/班级群走 dingtalk-misc；邮件走 dingtalk-mail。

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 21 other files, including reference files (for example `references/01-messaging.md`, `references/card/a2ui.md` and `references/card/callback.md`).

It sits in Backend & APIs, covering Webhooks. The repository describes itself as: DingTalk Workspace is an officially open-sourced cross-platform CLI tool from DingTalk. It unifies DingTalk’s full suite of product capabilities into a single package, is… The licence is Apache-2.0.

When your agent uses it

收发/搜索消息、建群、群治理、Bot/Webhook、文件，或仅限 IM 的消息谓词筛选。跨源主题/行为轨迹走 dingtalk-aisearch；DING/班级群走 dingtalk-misc；邮件走 dingtalk-mail
Tasks that involve Webhooks

Example prompts

“/dingtalk-chat”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

零命中/多候选：停止写并消歧，禁默认第一项。
参数/确认不明查 leaf Schema；Schema 不可用才查已知 leaf Help。unknown flag 用同 leaf Help 修正一次；unknown command 不查 Help：先用错误的明确 suggestion，再用已加载…
仅 retryable=true 按原命令重试一次；API/internal/MCP、写后不一致或无重试性即停，不换 Shortcut/atomic。保留 Trace ID、已完成/待清理项并最终答复；confirmation_required 等用户确认，不补 --yes。

What it can do on your machine

Read from SKILL.md and the folder at commit 0a813a9. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dingtalk Chat loads about 1.6k tokens when it runs, and up to ~29k if it reads all its reference files. Until then it costs about 37 tokens; SKILL.md has 430 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~37
When it runs · the whole SKILL.md, loaded when a task matches: ~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~29k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from DingTalk-Real-AI/dingtalk-workspace-cli at commit 0a813a9, republished under its Apache-2.0 licence (© DingTalk-Real-AI). 430 words, ~1,638 tokens.

Download SKILL.mdSave it as .claude/skills/dingtalk-chat/SKILL.md (or your agent's skills folder). This skill also uses 18 other files; get the full folder from GitHub.

name: dingtalk-chat
description: 钉钉群聊与消息。Use when 收发/搜索消息、建群、群治理、Bot/Webhook、文件，或仅限 IM 的消息谓词筛选。跨源主题/行为轨迹走 dingtalk-aisearch；DING/班级群走 dingtalk-misc；邮件走 dingtalk-mail。
metadata.cli_version: >=0.2.14
metadata.category: product

群聊/消息

<!-- DWS_RUNTIME_CONTRACT_START -->

最小 DWS 执行契约

只用 dws；结构化读取加 --format json，按真实返回判断。
已知命令直调；参数/约束/安全不明查 leaf 窄 Schema。Schema 不可用才读已知 leaf Help 一次；unknown flag 用同 leaf Help 修正一次。unknown command 不查 Help：优先错误中的明确 suggestion，其次已加载 Skill/reference 中的明确兼容入口；均无则报漂移并停，禁全 Catalog。低频 reference 不默认 Help，禁 root/parent/product Help。发现后必须执行或说明阻塞。
不猜命令/flag/字段/ID/账号/业务事实；ID 来自真实返回。目标零命中/多候选/类型不明先消歧；仅可选时间/展示范围用契约默认，缺必需信息即停。
解析/读/写同一 profile，ID 不跨组织。多账号只用唯一 isOrgCurrent=true；否则用户指定，禁止选择第一项、最近登录或最近使用账号。
不输出/记录 token、refresh token、appSecret、webhook token；已注入认证时不索要。
写须符合明确意图；确认以最终 Runtime gate/Schema 为准，确认后才加 --yes。
写后验证结果，不凭退出码宣称成功。退出须最终答复，区分完成、部分、阻塞、待确认、失败；保留已有数据及 complete/hasMore/stopReason/failures。
时间戳按会话时区展示，必要时保留原值。
认证/权限/profile/confirmation/未知错误只读 dingtalk-shared 对应 reference，禁连续猜替代命令。

<!-- DWS_RUNTIME_CONTRACT_END -->

对象与路由边界

openConversationId 是会话，messageId/openMessageId 是消息，openTaskId 是发送任务，不可混用。
会话分组/分类走 category，群聊/聊天群走 chat group；会话列表无正文，总结/统计读消息。Pin/Top/Favorite 不是分类。

<!-- VISIBLE_SHORTCUTS_START -->

Shortcut 发现（Shortcut-first）

按 Golden Route/reference 选 Shortcut；仅缺底层字段用 atomic，低频走 reference/Catalog。

参数查 dws schema --cli-path "chat <leaf>" --compact --jq '{cli_path,parameters,constraints,confirmation}' -f json；仅需且已发布 result 时查 outcomes/pagination，字段级再查 data_schema；缺失不以 Help/样例推断。Schema 不可用才读一次已知 leaf Help；unknown flag 用同 leaf Help 修正一次。unknown command 禁 Help：错误 suggestion → 已加载 Skill/reference 明确入口；均无则报漂移。禁全 Catalog/root/parent/product Help；低频 reference 不默认 Help。

<!-- VISIBLE_SHORTCUTS_END -->

Golden Route

用户终点	唯一推荐入口	关键边界
`<!-- dws-intent: chat.read.conversation -->`读取指定群聊/单聊	`dws chat +chat-messages --no-reactions`	全部时加 `--page-all`
`<!-- dws-intent: chat.search.filtered --><!-- dws-intent: chat.read.reactions -->`按关键词/发送者/@/类型/reaction 过滤	`dws chat +search-msg`（reaction 加 `--has-reactions`）	默认 7 天；范围用 `--start/--end`
跨会话读取/总结/统计	`dws chat message list-all --start <开始> --end <结束> --page-all --no-reactions`	不先列会话逐群循环
`<!-- dws-intent: chat.conversation.active-since -->`时间后活跃会话	`dws chat +recent-conversations --start <时间>`	摘要；查 `complete`；`+active-conversations` 仅兼容
查看 @我的消息	`dws chat +at-me [--group <群名或ID>] --page-all --no-reactions`	未指定群则跨会话；默认 7 天
查看未读消息	`dws chat +unread-chats`	需正文时沿 CID 读消息
已知消息 ID 批量取详情	`dws chat +messages-mget`	看 leaf Schema；保留会话上下文
`<!-- dws-intent: chat.send.dm -->`按姓名发文本/Markdown	`dws chat +dm --to <姓名> --content <内容>`	唯一解析；多候选停止
`<!-- dws-intent: chat.send.group -->`按群名/ID 发文本/Markdown	`dws chat +send-to-group --group <群名或ID> --content <内容>`	多候选停止
`<!-- dws-intent: chat.send.advanced -->`文件/Bot/Webhook/复杂 @	`dws chat +messages-send`	Bot 多群检查逐项 ledger
全部会话	`dws chat +conversation-list --page-all`	含群聊/单聊，非正文
查加入/管理的群	`+my-groups --page-all` / `+chat-list-mine`	后者无 `--page-all`；flag 不跨 leaf
搜群或查看全部成员	`+chat-search --query <词>` / `+chat-members-list --group <群名或ID>`	多候选停止；检查 buckets/完整性
查群资料/Bot/邀请链接	`+conversation-info` / `+chat-bots` / `+chat-invite-url`	只读
`<!-- dws-intent: chat.create.group -->`创建/清理临时群	`dws chat +chat-create --name <名称> --member-query <姓名列表>` → 保存 CID → `+chat-dismiss --group <cid>`	已知 ID 用 `--users`；清理须确认、验证
改群资料/设置/禁言/管理员	`+chat-update` / `+chat-update-settings` / `+chat-mute` / `+chat-mute-member` / `+chat-set-admin`	用真实群/用户 ID；写后读回
管理群身份	读 group-admin 角色 family	角色 CRUD、成员绑定/解绑/查询；不切 atomic，写后回读
`<!-- dws-intent: chat.category.list-conversations -->`列分类内会话	`dws chat +category-list-conversations --category-id <ID>`	分类≠群；先取 ID
`<!-- dws-intent: chat.reply.quote -->`引用回复	`dws chat +messages-reply`	用真实消息/CID；未知投递状态非成功
撤回/转发	`+messages-recall`；`+messages-forward` / `+messages-combine-forward` / `+messages-forward-topic`	不复制正文冒充原生转发
Pin/消息 Top/Favorite	`+messages-set-pin` / `+messages-unset-pin`；`+messages-set-top` / `+messages-unset-top`；`+flag-create` / `+flag-cancel`	对象互不替代；用对应查询验证
添加/移除 reaction	`+messages-add-emoji` / `+messages-remove-emoji`	扩展动作读 `message-actions`
会话置顶/免打扰/隐藏	chat-conversation	用真实 CID；会话 Top 非消息 Top
已读/未读/清红点/清空	`+conversation-mark-read` / `+conversation-mark-unread` / `+conversation-clear-red-point` / `+conversation-clear-all-red-point` / `+conversation-clear-messages`	已读需消息 ID；清空按 Runtime 确认
下载消息资源	查询加 `--download-resources --output-dir <目录>`；已有引用用 `+messages-resource-download`	不猜 ID；保留 ledger；临时 URL 不交付

Show full SKILL.md (104 more words)Show less

次级：Thread +thread-replies；置顶 dws chat +conversation-list-top；上传 conversation-file upload；IM 事件走 dingtalk-event。

关键结果语义

查询保留范围、数量、完整性、停止原因、失败/下载 ledger；不完整不得称成功。消息仅 --page-all 翻页，达预算返回有界 partial。
本地图片仅已有 mediaId 才发内联 image，否则发 file；只上传不发送用 conversation-file upload。
子消息用自身 messageId；缺 CID 才继承父 conversationId。写操作沿真实结果传 ID。

写生命周期

多步骤写先校验目标、限制、内容、确认，再沿稳定 ID 串行执行并验证；不截断或换目标。临时资源保留 ID/阶段，失败仅做已授权清理。

上下文预算

Skill/Reference/leaf Schema/Help 各读一次；Schema 已给参数禁 Help。总结/统计/检索默认 --no-reactions，资源下载仅显式 opt-in。
用 --fields/--jq/limit/compact 预览，禁 head 截 JSON；大正文落文件，保留 ID、正文证据、下步字段、完整性和失败项。

按需加载

任务≤1个

场景	Reference
消息	查询 / 动作 / 资源
群	读取 / 治理
会话/Bot	会话 / Bot
组合/话题/表情/卡片	组合 / 话题 / 表情 / 卡片/A2UI
结果/其他原子能力	contracts / chat

错误最短路径

零命中/多候选：停止写并消歧，禁默认第一项。
参数/确认不明查 leaf Schema；Schema 不可用才查已知 leaf Help。unknown flag 用同 leaf Help 修正一次；unknown command 不查 Help：先用错误的明确 suggestion，再用已加载 Skill/reference 的明确兼容入口；无则报漂移并停，禁全 Catalog。
仅 retryable=true 按原命令重试一次；API/internal/MCP、写后不一致或无重试性即停，不换 Shortcut/atomic。保留 Trace ID、已完成/待清理项并最终答复；confirmation_required 等用户确认，不补 --yes。

Files

SKILL.md and 18 other files (references) in skills/multi/dingtalk-chat of DingTalk-Real-AI/dingtalk-workspace-cli.

SKILL.md
references/01-messaging.md
references/card/a2ui.md
references/card/callback.md
references/card/create.md
references/card/schema.md
references/card/update.md
references/chat-emoji-list.md
references/chat.md
references/chat/chat-bot.md
references/chat/chat-conversation.md
references/chat/group-admin.md
references/chat/group-discovery.md
references/chat/message-actions.md
references/chat/message-media.md
references/chat/message-query.md
references/chat/thread.md
references/contracts.md
… and 1 more

Open the folder on GitHubat commit 0a813a9

Compare with similar skills

Dingtalk Chat next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Dingtalk Chat compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Dingtalk Chat this skillDingTalk-Real-AI/dingtalk-workspace-cli	3.2k	—	~1.6k	Automated safety check: Pass	Apache-2.0	today
Novu Design Workflownovuhq/novu	40k	—	~2.6k	Automated safety check: Pass	Custom licence	today
Golivemikehasa/golive-skill	1.3k	—	~13k	Automated safety check: Notes	MIT	6 days ago
Stripe Appsfossasia/eventyay	1.7k	1 repos	~3.6k	Automated safety check: Pass	Apache-2.0	today
Dingtalk Messageagentscope-ai/ReMe	3.6k	—	~1.6k	Automated safety check: Pass	Apache-2.0	yesterday
PR Review Provideryansongda/pay	5.4k	—	~2.4k	Automated safety check: Pass	MIT	2 days ago

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Golive
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Take an agent-written app from repo to live production on the user's OWN accounts, with providers they choose (hosting, database, auth, payments, email, domain/DNS).
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Stripe Apps
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A skill your agent uses when building, modifying, or reviewing a Stripe App — or when the user describes something that implies one (e.g.
1.7k GitHub starsUsed in 1 repo~3.6k tokens
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Dingtalk Message
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钉钉消息发送技能。支持企业内部机器人（批量单聊/群聊）和 Webhook 自定义机器人两种接入方式，支持多机器人管理，支持文本、Markdown、链接、ActionCard、FeedCard等多种消息类型。
3.6k GitHub stars~1.6k tokensUpdated yesterday
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More from DingTalk-Real-AI/dingtalk-workspace-cli

All 17 skills in this repo

Dingtalk Minutes
DingTalk-Real-AI/dingtalk-workspace-cli
钉钉 AI 听记。Use when 查询或修改听记摘要、完整逐字稿、关键词、标签、行动项、录音、上传、思维导图、发言人洞察、ASR 热词/识别词配置或分享权限。写文档走 dingtalk-doc；建待办走 dingtalk-todo；日程走 dingtalk-calendar。命令前缀：dws minutes。
3.2k GitHub stars~2.3k tokensUpdated today
Auto-check passed
Dingtalk Aitable
DingTalk-Real-AI/dingtalk-workspace-cli
钉钉 AI 表格（多维表）业务操作。Use when 用户需要操作 AI 表格/多维表/Base/Table、应用模式/App 页面/Widget、建表、查写记录、字段、记录评论、评论回复、访问密钥（API Key）、SQL/PostgreSQL/SELECT/JOIN、筛选、排序、公式、模板、批量导入 CSV 或 JSON、导出、仪表盘、图表、上传附件、数据源配置与同步、按任务 ID…
3.2k GitHub stars~5.4k tokensUpdated today
Auto-check passed
Dingtalk Aicard
DingTalk-Real-AI/dingtalk-workspace-cli
Create, edit, and validate DingTalk AI Card (A2UI) JSON files offline.
3.2k GitHub stars~2.5k tokensUpdated today
Auto-check passed
Dingtalk Aisearch
DingTalk-Real-AI/dingtalk-workspace-cli
AI搜问：人员语义搜索、跨源主题检索与行为回溯。Use when 语义找人，或目标未知时按主题或行为发现内容。原生最近列表走所属产品；完整手机号精确反查走 dingtalk-contact。前缀：dws aisearch。
3.2k GitHub stars~1.2k tokensUpdated today
Auto-check passed
Dingtalk Calendar
DingTalk-Real-AI/dingtalk-workspace-cli
钉钉日历与会议室。Use when 用户说约会议/查日程/订会议室/查闲忙/加参会人/改期/取消会议/今天的日程/本周日程/共同空闲。不做视频会议发起/邀请入会/会中控制（走 dingtalk-misc）、AI 听记（走 dingtalk-minutes）、待办任务（走 dingtalk-todo）。命令前缀：dws calendar。
3.2k GitHub stars~2k tokensUpdated today
Auto-check passed
Dingtalk Contact
DingTalk-Real-AI/dingtalk-workspace-cli
钉钉通讯录精确查询。Use when 已有 userId 后查详情、部门、职位或邮箱，按完整手机号反查用户，或查询自己、部门成员及角色。姓名模糊搜索、工号、职责、上下级走 dingtalk-aisearch，拿到 userId 后用本 skill 补详情。命令前缀：dws contact。
3.2k GitHub stars~2.2k tokensUpdated today
Auto-check passed

Questions about Dingtalk Chat

What does Dingtalk Chat do?

钉钉群聊与消息。Use when 收发/搜索消息、建群、群治理、Bot/Webhook、文件，或仅限 IM 的消息谓词筛选。跨源主题/行为轨迹走 dingtalk-aisearch；DING/班级群走 dingtalk-misc；邮件走 dingtalk-mail。. Dingtalk Chat is an agent skill from DingTalk-Real-AI/dingtalk-workspace-cli.

When should I use Dingtalk Chat?

Dingtalk Chat fits situations like: 收发/搜索消息、建群、群治理、Bot/Webhook、文件，或仅限 IM 的消息谓词筛选。跨源主题/行为轨迹走 dingtalk-aisearch；DING/班级群走 dingtalk-misc；邮件走 dingtalk-mail; tasks that involve Webhooks.

How do I install Dingtalk Chat in Claude Code?

Run `npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-chat -a claude-code`. Or copy the skill folder (skills/multi/dingtalk-chat in DingTalk-Real-AI/dingtalk-workspace-cli) into .claude/skills/dingtalk-chat in your project. Claude Code loads it when a task matches its description.

How do I install Dingtalk Chat in Codex?

Run `npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-chat -a codex`. Or copy the skill folder (skills/multi/dingtalk-chat in DingTalk-Real-AI/dingtalk-workspace-cli) into .agents/skills/dingtalk-chat in your project. Codex loads it when a task matches its description.

Can I use Dingtalk Chat in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-chat -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dingtalk-chat, .gemini/skills/dingtalk-chat, .github/skills/dingtalk-chat and .opencode/skills/dingtalk-chat in your project.

What does Dingtalk Chat need to run?

SKILL.md names no scripts, command-line tools or credentials: Dingtalk Chat is instructions for the agent only.

Does Dingtalk Chat access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Dingtalk Chat safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Dingtalk Chat use?

Dingtalk Chat is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dingtalk Chat use?

About 1.6k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 27k tokens, read only when the agent opens those files.

What are the alternatives to Dingtalk Chat?

Skills that share tags, products or a category with Dingtalk Chat: Novu Design Workflow (novuhq/novu, 40k stars), Golive (mikehasa/golive-skill, 1.3k stars), Stripe Apps (fossasia/eventyay, 1.7k stars) and Dingtalk Message (agentscope-ai/ReMe, 3.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dingtalk Chat?

DingTalk-Real-AI (a GitHub organization) maintains it in DingTalk-Real-AI/dingtalk-workspace-cli, which has 3,246 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 10, 2026.

Source: DingTalk-Real-AI/dingtalk-workspace-cli on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Dingtalk Chat

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

群聊/消息

最小 DWS 执行契约

对象与路由边界

Shortcut 发现（Shortcut-first）

Golden Route

关键结果语义

写生命周期

上下文预算

按需加载

错误最短路径

Files

Compare with similar skills

Similar skills

More from DingTalk-Real-AI/dingtalk-workspace-cli

Related

Questions about Dingtalk Chat