Dws
Pinvou/pinvou-agent
【何时用:仅当用户明确指向钉钉/DingTalk(钉钉文档、钉钉日程等)时使用;泛指做文档/表格/待办/审批默认走本地工具,不要误用钉钉】用 dws CLI 管理钉钉:AI表格/AI搜问(找人首选)/目标管理(Agoal)/组织大脑/日历/通讯录/群聊与机器人消息/待办/审批/考勤/日志(日报周报)/DING消息/钉钉文档/云盘/Markdown文件/AI听记/邮箱/在线电子表格(axls)/知…
钉钉(DingTalk) MultiSkill 的轻量共享入口。Use when 用户泛称 DWS/钉钉操作但未明确产品、请求跨产品编排、需要 URL 类型预检或产品边界消歧。清晰的单产品操作优先使用对应 dingtalk- 子 skill；本 skill 只提供全局执行契约和按需 reference 导航，不承载产品命令全集。
Apache-2.0Auto-check passed
Install Dingtalk Shared
$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-shared -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-shared --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-shared .claude/skills/dingtalk-shared && rm -rf skills-srcUse ~/.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/
Install the "dingtalk-shared" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-shared into .claude/skills/dingtalk-shared/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-shared", 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 install https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-sharedType 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.
$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-shared -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-shared --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-shared .agents/skills/dingtalk-shared && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dingtalk-shared" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-shared into .agents/skills/dingtalk-shared/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-shared", 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.
$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-shared -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-shared --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-shared .cursor/skills/dingtalk-shared && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dingtalk-shared" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-shared into .cursor/skills/dingtalk-shared/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-shared", 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 https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli.git --path skills/multi/dingtalk-shared--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-shared -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-shared --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-shared .gemini/skills/dingtalk-shared && rm -rf skills-srcUse ~/.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/
Install the "dingtalk-shared" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-shared into .gemini/skills/dingtalk-shared/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-shared", 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.
$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-sharedInstalls 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).
$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-shared -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ 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-shared .github/skills/dingtalk-shared && rm -rf skills-srcUse ~/.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/
Install the "dingtalk-shared" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-shared into .github/skills/dingtalk-shared/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-shared", 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.
$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-shared -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-shared --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-shared .opencode/skills/dingtalk-shared && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dingtalk-shared" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-shared into .opencode/skills/dingtalk-shared/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-shared", 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-shared- GitHub stars
- 3.2k
- Token cost
- ~1k tokens
- SKILL.md length
- 242 words
- Files
- 15 (incl. references)
- Skills in repo
- 17
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
钉钉(DingTalk) MultiSkill 的轻量共享入口。Use when 用户泛称 DWS/钉钉操作但未明确产品、请求跨产品编排、需要 URL 类型预检或产品边界消歧。清晰的单产品操作优先使用对应 dingtalk- 子 skill；本 skill 只提供全局执行契约和按需 reference 导航，不承载产品命令全集。
- Works in 5 steps: 先识别明确的产品内容意图；明确意图直接选择对应产品。用户直接提供的 alidocs → 请求包含多个时序步骤、跨产品数据传递或汇总报告：即使 URL 已识别，也要读取 → 请求是单产品操作但产品不明确：读取 routing.md，再显式读取目标产品 → …
- 用户泛称 DWS/钉钉操作但未明确产品、请求跨产品编排、需要 URL 类型预检或产品边界消歧。清晰的单产品操作优先使用对应 dingtalk- 子 skill；本 skill 只提供全局执行契约和按需 reference 导航，不承载产品命令全集
- SKILL.md covers 最小 DWS 执行契约, 渐进加载, 本 skill 作为入口时的路由顺序 and 跨 skill 执行, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Dingtalk Shared is an agent skill from DingTalk-Real-AI/dingtalk-workspace-cli. 钉钉(DingTalk) MultiSkill 的轻量共享入口。Use when 用户泛称 DWS/钉钉操作但未明确产品、请求跨产品编排、需要 URL 类型预检或产品边界消歧。清晰的单产品操作优先使用对应 dingtalk- 子 skill；本 skill 只提供全局执行契约和按需 reference 导航，不承载产品命令全集。
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including reference files (for example `references/capability-limits.md`, `references/channel-login.md` and `references/confirmation.md`).
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
- 用户泛称 DWS/钉钉操作但未明确产品、请求跨产品编排、需要 URL 类型预检或产品边界消歧。清晰的单产品操作优先使用对应 dingtalk- 子 skill；本 skill 只提供全局执行契约和按需 reference 导航，不承载产品命令全集
Example prompts
- “/dingtalk-shared”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 先识别明确的产品内容意图；明确意图直接选择对应产品。用户直接提供的 alidocs
- 请求包含多个时序步骤、跨产品数据传递或汇总报告：即使 URL 已识别，也要读取
- 请求是单产品操作但产品不明确：读取 routing.md，再显式读取目标产品
- doc/drive/wiki、aitable/sheet、calendar/minutes 等边界仍不清楚
- 仍无法判断时向用户追问，不要猜测产品或命令。
What it can do on your machine
Read from SKILL.md and the folder at commit ba535c2. 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 Shared loads about 1k tokens when it runs, and up to ~33k if it reads all its reference files. Until then it costs about 46 tokens; SKILL.md has 242 words of instructions outside code blocks.
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 ba535c2, republished under its Apache-2.0 licence (© DingTalk-Real-AI). 242 words, ~1,016 tokens.
Download SKILL.mdSave it as
.claude/skills/dingtalk-shared/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.- name
- dingtalk-shared
- description
- 钉钉(DingTalk) MultiSkill 的轻量共享入口。Use when 用户泛称 DWS/钉钉操作但未明确产品、请求跨产品编排、需要 URL 类型预检或产品边界消歧。清晰的单产品操作优先使用对应 dingtalk-* 子 skill；本 skill 只提供全局执行契约和按需 reference 导航，不承载产品命令全集。
- metadata.cli_version
- >=0.2.14
- metadata.category
- shared
DWS 共享执行契约
本文件只在泛称 DWS、跨产品流程、URL 预检或意图不清时作为入口。明确单产品请求直接使用对应 dingtalk-* skill；已经内嵌最小执行契约的产品根 Skill 不需要先完整读取本文件。
<!-- 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 -->国际版、海外版或 .io 区域登录必须执行 dws auth login --intl（无头环境再加 --device）；--intl 只用于登录，后续业务命令按所选 profile 自动路由。
产品或跨产品规则在最小契约之上增量加载。用户已明确产品内容意图时，意图优先于 URL 形态；多账号选择与跨组织规则读取 ../dingtalk-misc/references/profile.md。本地文件、产品边界和跨产品传递规则只在对应任务中加载，避免把全局手册放入每个单产品请求。
渐进加载
只读取当前任务需要的文件，不要一次性加载全部 shared references：
| 当前情况 | 必读内容 |
|---|---|
| 已明确单一产品 | 对应 ../dingtalk-*/SKILL.md；不读路由 reference |
| 泛称 DWS、需要选择产品 | routing.md |
| 跨产品、多步骤、汇总或报告 | workflow-routing.md |
输入含用户直接提供的 alidocs /i/nodes/ URL 或来源未验证的 nodeId（即使产品意图明确） | url-patterns.md；先规范化 dlink 再进入目标产品 |
| 输入含其他 alidocs、shanji 等钉钉 URL 且类型不明 | url-patterns.md |
| 产品边界仍然难以判断 | intent-guide.md 的相关章节 |
| 认证、全局 flag 或输出格式问题 | global-reference.md |
| 命令已经返回错误 | error-codes.md；只查错误对应章节 |
confirmation_required / 写操作确认 | confirmation.md |
命令发现、Schema / --compact / --all | schema-usage.md |
| 怀疑能力不支持 | capability-limits.md |
| 批量/多源采集 | conventions.md |
| 固定短流程 | lite-catalog.md 对应章节 |
产品命令、脚本和字段细节位于对应产品 skill，不在 dingtalk-shared 重复维护。
本 skill 作为入口时的路由顺序
- 先识别明确的产品内容意图；明确意图直接选择对应产品。用户直接提供的 alidocs
/i/nodes/URL 或来源未验证的 nodeId 仍须读取url-patterns.md：先执行节点类型 探测，extension=dlink时将drive info的result.fileId保存为入口 ID 并传给dws doc info，再按linkSourceInfo.nodeId逐跳解析目标，把最终目标 ID 交给候选 产品。当前调用链已返回真实类型的稳定 ID 可直接复用。 - 请求包含多个时序步骤、跨产品数据传递或汇总报告：即使 URL 已识别，也要读取
workflow-routing.md，按行动指南组合需要的产品 skill；当前发布包不包含独立 scenario skill。 - 请求是单产品操作但产品不明确：读取
routing.md，再显式读取目标产品SKILL.md。 doc/drive/wiki、aitable/sheet、calendar/minutes等边界仍不清楚： 只读取intent-guide.md的对应章节。- 仍无法判断时向用户追问，不要猜测产品或命令。
跨 skill 执行
- 正文中的相对
Read链接是运行时依赖；metadata.requires.skills不会自动加载。 - 选择目标产品后，以目标 skill 的命令、参数和风险规则为准。
- 多步骤流程按顺序传递真实返回值；可以并行的只读采集按对应 workflow/reference 执行，写操作默认串行并逐步验证。
- 产品 skill 已内联的清晰操作直接执行；仅在遇到该 skill 未覆盖的参数或边界时读取 更深层 reference。
错误最短路径
unknown command/unknown flag：运行对应层级--help，按公开 flag 修正后最多重试一次；命令选择不确定时读 schema-usage.md。reason=confirmation_required：按 confirmation.md 处理，不要当普通校验错误放弃或静默加--yes。- 认证或权限错误：读取
global-reference.md与error-codes.md对应章节。 - 其他错误：优先读取 JSON 错误中的
retryable、retry_after_seconds、next_retry_at、hint和actions。只有明确retryable=true时才按服务端节奏重试； 缺少重试语义时用--verbose获取诊断并停止，不连续尝试替代命令。 - 明确不支持的能力：说明边界，不通过其他接口绕过。
© DingTalk-Real-AI, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 14 other files (references) in skills/multi/dingtalk-shared of DingTalk-Real-AI/dingtalk-workspace-cli.
- SKILL.md
- references/capability-limits.md
- references/channel-login.md
- references/confirmation.md
- references/error-codes.md
- references/global-reference.md
- references/intent-guide.md
- references/recipes/conventions.md
- references/recipes/lite-catalog.md
- references/recipes/meta.md
- references/routing.md
- references/runtime-contract.md
- references/schema-usage.md
- references/url-patterns.md
- references/workflow-routing.md
Open the folder on GitHubat commit ba535c2
Compare with similar skills
Dingtalk Shared 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dingtalk Shared this skillDingTalk-Real-AI/dingtalk-workspace-cli | 3.2k | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| DwsPinvou/pinvou-agent | 2.4k | — | ~5.3k | Automated safety check: Pass | Apache-2.0 | |
| Dingtalk Work Logmohitagw15856/pm-claude-skills | 1.4k | — | ~889 | Automated safety check: Pass | MIT | |
| Dingtalk Messageagentscope-ai/ReMe | 3.6k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Dingtalk TeambitionLeoYeAI/openclaw-master-skills | 2.2k | — | ~3.7k | Automated safety check: Pass | MIT | |
| Dingtalk Channel RulesDingTalk-Real-AI/dingtalk-openclaw-connector | 2.1k | — | ~595 | Automated safety check: Pass | MIT |
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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。
Dingtalk Teambition
LeoYeAI/openclaw-master-skills
A skill your agent uses for anything related to Teambition tasks and projects.
Dingtalk Channel Rules
DingTalk-Real-AI/dingtalk-openclaw-connector
钉钉会话输出规则。在钉钉会话中始终生效。
Dingtalk Bridge
aiskillstore/marketplace
DingTalk group chat bridge for Claude Code. An agent skill from aiskillstore/marketplace.
More from DingTalk-Real-AI/dingtalk-workspace-cli
All 17 skills in this repoDingtalk 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。
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。
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…
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。
Dingtalk Todo
DingTalk-Real-AI/dingtalk-workspace-cli
钉钉待办 / TODO。Use when 用户说 创建待办/TODO/任务提醒/指派任务/标记完成/查待办/紧急待办/循环待办/批量建待办/逾期待办。不做日报周报（走 dingtalk-misc）、审批（走 dingtalk-misc）、日程（走 dingtalk-calendar）。命令前缀：dws todo。
Dingtalk Aicard
DingTalk-Real-AI/dingtalk-workspace-cli
Create, edit, and validate DingTalk AI Card (A2UI) JSON files offline.
Questions about Dingtalk Shared
What does Dingtalk Shared do?
钉钉(DingTalk) MultiSkill 的轻量共享入口。Use when 用户泛称 DWS/钉钉操作但未明确产品、请求跨产品编排、需要 URL 类型预检或产品边界消歧。清晰的单产品操作优先使用对应 dingtalk- 子 skill；本 skill 只提供全局执行契约和按需 reference 导航，不承载产品命令全集。. Dingtalk Shared is an agent skill from DingTalk-Real-AI/dingtalk-workspace-cli.
When should I use Dingtalk Shared?
Dingtalk Shared fits situations like: 用户泛称 DWS/钉钉操作但未明确产品、请求跨产品编排、需要 URL 类型预检或产品边界消歧。清晰的单产品操作优先使用对应 dingtalk- 子 skill；本 skill 只提供全局执行契约和按需 reference 导航，不承载产品命令全集.
How do I install Dingtalk Shared in Claude Code?
Run `npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-shared -a claude-code`. Or copy the skill folder (skills/multi/dingtalk-shared in DingTalk-Real-AI/dingtalk-workspace-cli) into .claude/skills/dingtalk-shared in your project. Claude Code loads it when a task matches its description.
How do I install Dingtalk Shared in Codex?
Run `npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-shared -a codex`. Or copy the skill folder (skills/multi/dingtalk-shared in DingTalk-Real-AI/dingtalk-workspace-cli) into .agents/skills/dingtalk-shared in your project. Codex loads it when a task matches its description.
Can I use Dingtalk Shared 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-shared -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-shared, .gemini/skills/dingtalk-shared, .github/skills/dingtalk-shared and .opencode/skills/dingtalk-shared in your project.
What does Dingtalk Shared need to run?
SKILL.md names no scripts, command-line tools or credentials: Dingtalk Shared is instructions for the agent only.
Does Dingtalk Shared 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 Shared 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 Shared use?
Dingtalk Shared 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 Shared use?
About 1k tokens (SKILL.md is roughly 4.1k 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 32k tokens, read only when the agent opens those files.
What are the alternatives to Dingtalk Shared?
Skills that share tags, products or a category with Dingtalk Shared: Dws (Pinvou/pinvou-agent, 2.4k stars), Dingtalk Work Log (mohitagw15856/pm-claude-skills, 1.4k stars), Dingtalk Message (agentscope-ai/ReMe, 3.6k stars) and Dingtalk Teambition (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dingtalk Shared?
DingTalk-Real-AI (a GitHub organization) maintains it in DingTalk-Real-AI/dingtalk-workspace-cli, which has 3,212 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 5, 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.