Superset Agent Standup
superset-sh/superset
Sweeps every Superset workspace, task and agent terminal to report what finished, what needs review and what is blocked, read-only, and can publish the digest as a page.
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。
Install Dingtalk Todo
$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-todo -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-todo --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-todo .claude/skills/dingtalk-todo && 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-todo" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-todo into .claude/skills/dingtalk-todo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-todo", 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-todoType 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-todo -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-todo --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-todo .agents/skills/dingtalk-todo && 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-todo" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-todo into .agents/skills/dingtalk-todo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-todo", 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-todo -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-todo --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-todo .cursor/skills/dingtalk-todo && 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-todo" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-todo into .cursor/skills/dingtalk-todo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-todo", 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-todo--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-todo -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-todo --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-todo .gemini/skills/dingtalk-todo && 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-todo" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-todo into .gemini/skills/dingtalk-todo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-todo", 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-todoInstalls 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-todo -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-todo .github/skills/dingtalk-todo && 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-todo" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-todo into .github/skills/dingtalk-todo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-todo", 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-todo -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-todo --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-todo .opencode/skills/dingtalk-todo && 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-todo" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-todo into .opencode/skills/dingtalk-todo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-todo", 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-todo- GitHub stars
- 3.2k
- Token cost
- ~1.9k tokens
- SKILL.md length
- 647 words
- Files
- 9 (incl. scripts, references)
- Skills in repo
- 17
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
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。
- Works in 5 steps: 先选创建入口：按姓名指派用 +assign /… → 组合生命周期从原子创建开始：创建后还要按状态/优先级/角色/日期/页码列举，或继续… → 后续按步骤选最窄入口：聚合、搜索和核验完整由 Shortcut 覆盖时使用… → …
- 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
- SKILL.md covers 执行契约, Shortcuts（无专用脚本/recipe 时优先）, 路由优先级 and Golden Routes, plus 3 more sections
- Runs Python scripts from its folder; calls python
What it does
Dingtalk Todo is an agent skill from 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。
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `references/02-task.md`, `references/intent-guide.md` and `references/lite-recipes.md`).
It sits in Productivity & Automation, covering Task management. 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
- Tasks that involve Task management
Example prompts
- “/dingtalk-todo”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 先选创建入口：按姓名指派用 +assign / +assign-multi；给自己记一条且后续只有搜索、详情或清理时用 +remind；已有真实 userId 且只需创建、回读和清理时用 +create。
- 组合生命周期从原子创建开始：创建后还要按状态/优先级/角色/日期/页码列举，或继续更新、完成/重开、提醒、评论、附件、成员、子待办、标签，或一次创建多个对象时，使用 todo task create。不要用创建 Shortcut 代替第一步。
- 后续按步骤选最窄入口：聚合、搜索和核验完整由 Shortcut 覆盖时使用 +get-my-tasks、+get-related-tasks、+due-today、+overdue、+search、+get、+complete、+reopen、+update、+comment、…
- 确定性批量/汇总使用脚本：批量创建、今天/明天/本周汇总、逾期扫描分别使用 bundled script。
- 跨步骤只传稳定 ID：Shortcut 与原子命令可以共存，但只传递规范化后的 taskId、commentId、attachmentId、tagCode、userId；不要假设两类入口的完整返回结构相同。
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
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
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 Todo loads about 1.9k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 43 tokens; SKILL.md has 647 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); the scripts in this folder 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). 647 words, ~1,861 tokens.
Download SKILL.mdSave it as
.claude/skills/dingtalk-todo/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.- name
- dingtalk-todo
- description
- 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。
- metadata.cli_version
- >=0.2.14
- metadata.category
- product
钉钉待办 Skill
执行契约
- 执行第一个
dws操作前完整读取dingtalk-shared；当前任务已加载则不重复读取。 - 先把请求拆成有序步骤，再逐步选入口。已知命令直接执行，不先查 Help、Schema 或 Shortcut Catalog；只有当前 leaf 的 flag 或安全语义确实不明时才查精确 leaf。
- 所有命令加
--format json，按结构化业务返回判断结果。后续 ID 只取自本次真实返回；零匹配、多匹配或类型不明时停止并消歧。 - 写操作遵循最终 Runtime gate。需要确认时先说明对象、动作和影响，用户确认后才追加
--yes；不要把--yes写入存储示例。 - 写后必须核验。非幂等写超时、缺少稳定 ID 或读回失败时先查询对账，禁止盲目重放。
<!-- VISIBLE_SHORTCUTS_START -->Shortcuts（无专用脚本/recipe 时优先）
以下 shortcut 同时进入公开 catalog 与 Runtime Schema。按本 skill/recipe 路由，命中时 Shortcut 优先于原子命令。参数只查 dws schema --cli-path "todo +<shortcut>" --compact --jq '{cli_path,parameters,constraints,confirmation}' -f json；仅需且已发布 result 时查 --jq '{cli_path,outcomes:.result.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；仅映射、接口或 provenance 审计省略 --compact。现有路由和 reference 均无法定位低频能力时，才用 dws shortcut list --service todo --format json 发现。
| Shortcut | 风险 | 适用场景 |
|---|---|---|
dws todo +assign | write | 按姓名给某人创建并指派一条待办（自动解析 userId） |
dws todo +assign-multi | write | 把一条待办按姓名一次性指派给多个人（自动把每个姓名解析成 userId） |
dws todo +comment | write | 添加待办评论并读回验证 |
dws todo +create | write | 创建待办并读回验证 |
dws todo +created-todos | read | 列出我创建的待办（我作为创建人 creator 发起的待办，而非分配给我执行的） |
dws todo +due-today | read | 列出我今天到期的待办 |
dws todo +get | read | 查询待办详情 |
dws todo +get-my-tasks | read | 查询当前组织下我的待办列表 |
dws todo +get-related-tasks | read | 一次性列出与我相关的全部待办（我作为创建人/执行人/参与人三种角色的并集，按 taskId 去重） |
dws todo +list-attachment | read | 查询待办任务的附件列表 |
dws todo +list-comment | read | 查询待办评论列表 |
dws todo +list-sub | read | 查询子待办列表 |
dws todo +overdue | read | 列出我已过期未完成的待办 |
dws todo +remind | write | 给自己创建一条带可选截止时间的待办 |
dws todo +reminder | write | 设置或清除待办提醒（仅终端回执） |
dws todo +search | read | 搜索与我相关的全部待办 |
dws todo +todo-done | write | 按标题关键词把我的某条待办标记完成（自动定位 taskId） |
dws todo +update | write | 更新待办并读回验证 |
<!-- VISIBLE_SHORTCUTS_END -->路由优先级
上面的通用 Shortcut 优先规则只适用于一个 Shortcut 完整覆盖当前步骤的情况。不要因为请求里出现“创建”就默认使用 +remind / +create。
- 先选创建入口：按姓名指派用
+assign/+assign-multi；给自己记一条且后续只有搜索、详情或清理时用+remind；已有真实userId且只需创建、回读和清理时用+create。 - 组合生命周期从原子创建开始：创建后还要按状态/优先级/角色/日期/页码列举，或继续更新、完成/重开、提醒、评论、附件、成员、子待办、标签，或一次创建多个对象时，使用
todo task create。不要用创建 Shortcut 代替第一步。 - 后续按步骤选最窄入口：聚合、搜索和核验完整由 Shortcut 覆盖时使用
+get-my-tasks、+get-related-tasks、+due-today、+overdue、+search、+get、+complete、+reopen、+update、+comment、+reminder或+list-*；需要原子特有参数、动态子资源 ID、多对象或中间状态时用原子命令。 - 确定性批量/汇总使用脚本：批量创建、今天/明天/本周汇总、逾期扫描分别使用 bundled script。
- 跨步骤只传稳定 ID：Shortcut 与原子命令可以共存，但只传递规范化后的
taskId、commentId、attachmentId、tagCode、userId；不要假设两类入口的完整返回结构相同。
Golden Routes
| 用户意图 | 首选入口 | 关键结果 / 边界 |
|---|---|---|
| 给自己创建，随后只搜索、看详情或清理 | dws todo +remind --task "<标题>" [--at "<截止ISO>"] --format json | 自动解析当前用户；--at 是截止时间，不是提醒时间 |
| “给张三建待办” | dws todo +assign --to "张三" --task "<标题>" --format json | 姓名必须唯一解析后才创建 |
| “给张三、李四建同一条待办” | dws todo +assign-multi --to "张三,李四" --task "<标题>" --format json | 任一姓名不唯一则零写入 |
已有 userId，只创建、回读和清理 | dws todo +create --title "<标题>" --executors <USER_ID> [--due "<截止ISO>"] [--priority 10|20|30|40] --format json | 返回稳定 taskId，并读回核验标题 |
| 创建后还要筛选、变更资源或创建多个对象 | dws todo task create --title "<标题>" --executors <USER_ID> ... --format json | 从 result.taskId 进入组合生命周期；不要以 +remind / +create 起步 |
| 今天到期 / 已逾期 | dws todo +due-today --format json / dws todo +overdue --format json | 均有界拉全分页；空集合也是成功结果 |
| 当前组织下我的执行待办 | dws todo +get-my-tasks --all --status false --format json | --all 达到 40 页仍未耗尽会失败，不伪装完整 |
| 与我相关的全部待办 | dws todo +get-related-tasks --format json | 创建人、执行人、参与人三种角色并集，按 taskId 去重 |
| 按标题关键词查询 | dws todo +search --query "<关键词>" --format json | 搜索与 list 不混用；跨全部分页匹配 |
已知 taskId 查详情 | dws todo +get --task-id <TASK_ID> --format json | 详情必须回传同一个稳定 taskId |
已知 taskId 完成 / 重开 | dws todo +complete --task-id <TASK_ID> --format json / dws todo +reopen ... | 先读当前状态，避免重复写，再读回核验 |
| 只记得标题，标记完成 | dws todo +todo-done --task "<关键词>" --format json | 仅唯一命中时写；零个或多个候选均停止 |
| 修改标题、截止时间或优先级 | dws todo +update --task-id <TASK_ID> ... --format json | 至少指定一个待改字段；写后逐字段核验 |
| 设置独立提醒 | dws todo +reminder --task-id <TASK_ID> --base-time customTime --at "<提醒ISO>" --format json | 上游无提醒查询接口，只能返回终端写回执，verified=false |
| 基于截止时间提前提醒 | dws todo +reminder --task-id <TASK_ID> --base-time dueTime --due-date-offset -30 --format json | 待办必须已有截止时间；偏移单位为分钟 |
| 清除全部提醒 | dws todo +reminder --task-id <TASK_ID> --clear --format json | 清除写操作；不能与提醒参数混用 |
| 批量创建 | python scripts/todo_batch_create.py <todos.json> --dry-run | 预览返回稳定 planDigest；执行必须提交用户确认的同一摘要，内容变化会在零调用时拒绝 |
| 今天/明天/本周汇总 | python scripts/todo_daily_summary.py today|tomorrow|week | 走 +get-my-tasks --all，只纳入范围内且有截止时间的未完成待办 |
Show full SKILL.md (202 more words)Show less
低频原子能力
组合请求先读 组合生命周期。以下常用原子命令已审定，直接执行，不要先猜别名或查 Help：
| 意图 | 命令骨架 |
|---|---|
| 解析自己 / 姓名 | dws contact user get-self --format json / dws aisearch person --query "<姓名>" --dimension name --format json |
| 创建 / 子待办 | dws todo task create ... / dws todo task create-sub --parent-id <PARENT_ID> --title "<标题>" --executors <USER_ID> ... |
| 列表 / 详情 | dws todo task list [--status true|false] [--priority ...] [--role-types ...] [--page N --size N] ... / dws todo task get --task-id <TASK_ID> |
| 更新 / 完成或重开 | dws todo task update --task-id <TASK_ID> ... / dws todo task done --task-id <TASK_ID> --status true|false |
| 增删执行人 / 参与人 | task add-executor / task remove-executor / task add-participant / task remove-participant，均传真实 taskId 与 userId |
| 评论 | comment add / comment list / comment delete；删除使用列表返回的真实 commentId |
| 附件 | task add-attachment --file <绝对路径> / task list-attachment / task remove-attachment |
| 提醒 | task add-reminder 添加单条；task reset-reminder 替换全部或清空 |
| 标签 | tag create / tag list / tag update / tag add / tag delete；只使用真实 tagCode |
| 删除待办 | dws todo task delete --task-id <TASK_ID> --format json |
删除类操作必须由用户确认；若用户在当前请求中已明确授权“办完后删除/清理本次创建对象”，该授权只覆盖本次记录的精确 ID。附件上传会真实传输本地文件，不能用来试探权限。
关键约束
- 标题、URL、展示序号都不是
taskId。已知 ID 直接行动；未知 ID 用列表/搜索定位，零匹配或多匹配时停止。 - 待办公开命令统一使用
--task-id；--id/--ids只是隐藏兼容别名，不要写入新命令或示例。 - 优先级：低=10、普通=20、较高/高/重要=30、紧急/最高/P0=40。
--due/+remind --at表示 deadline；独立 reminder 必须走+reminder。- 自定义时间提醒的原子 flag 是
--reminder-time-stamp；不要把 Shortcut 的--at套到task add-reminder。 task list使用--status，不要写--done；详情是task get，不存在task detail。- “待办标签”始终属于 Todo，使用
dws todo tag ...；绝不能解释成 Git tag、通讯录标签或其他产品标签。 - 创建和评论是非幂等写。超时、缺少稳定 ID 或读回失败时保留“可能已提交/未核验”状态，先查询对账，禁止盲目重放。
- 所有命令加
--format json；写 Shortcut 按 Runtime 安全契约确认，确认前不得自行附加--yes。 - 会后行动项来自听记时先走
dingtalk-minutes；OA 审批走dingtalk-misc；时间块和会议走dingtalk-calendar。
按需参考
© 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 8 other files (scripts, references) in skills/multi/dingtalk-todo of DingTalk-Real-AI/dingtalk-workspace-cli.
- SKILL.md
- references/02-task.md
- references/intent-guide.md
- references/lite-recipes.md
- references/recipes/conventions.md
- references/todo.md
- scripts/todo_batch_create.py
- scripts/todo_daily_summary.py
- scripts/todo_overdue_check.py
Open the folder on GitHubat commit 0a813a9
Compare with similar skills
Dingtalk Todo 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 Todo this skillDingTalk-Real-AI/dingtalk-workspace-cli | 3.2k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Superset Agent Standupsuperset-sh/superset | 15k | — | ~712 | Automated safety check: Pass | Custom licence | |
| AgentRQ Workspace Agentagentrq/agentrq | 1.1k | — | ~1.9k | Automated safety check: Pass | AGPL-3.0 | |
| Markdown Task Managerioniks/MarkdownTaskManager | 535 | — | ~2.2k | Automated safety check: Pass | MPL-2.0 | |
| Pi Messenger Crewnicobailon/pi-messenger | 719 | — | ~3.7k | Automated safety check: Pass | None | |
| Codekanban CLIfy0/CodeKanban | 226 | — | ~2.7k | Automated safety check: Pass | Apache-2.0 |
Similar skills
AgentRQ Workspace Agent
agentrq/agentrq
Guides a workspace agent through executing assigned tasks, replying to a remote human operator, and creating sub-tasks, memory and events inside an AgentRQ workspace.
Markdown Task Manager
ioniks/MarkdownTaskManager
A skill your agent uses when managing tasks, the system is a Kanban task manager based on local Markdown files (kanban.md and archive.md).
Pi Messenger Crew
nicobailon/pi-messenger
Orchestrator reference for pi-messenger Crew planning, task management, configuration, and agent coordination.
Codekanban CLI
fy0/CodeKanban
Operate CodeKanban workflows, terminal sessions, and web sessions through the installable codekanban-cli command.
Kanban Video Orchestrator
Luciole-Studio/Misaka-Agent
Plan and run multi-agent video production pipelines. An agent skill from Luciole-Studio/Misaka-Agent.
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 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 Aicard
DingTalk-Real-AI/dingtalk-workspace-cli
Create, edit, and validate DingTalk AI Card (A2UI) JSON files offline.
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。
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 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。
Related
Categories
Questions about Dingtalk Todo
What does Dingtalk Todo do?
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 Todo is an agent skill from DingTalk-Real-AI/dingtalk-workspace-cli.
When should I use Dingtalk Todo?
Dingtalk Todo fits situations like: 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; tasks that involve Task management.
How do I install Dingtalk Todo in Claude Code?
Run `npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-todo -a claude-code`. Or copy the skill folder (skills/multi/dingtalk-todo in DingTalk-Real-AI/dingtalk-workspace-cli) into .claude/skills/dingtalk-todo in your project. Claude Code loads it when a task matches its description.
How do I install Dingtalk Todo in Codex?
Run `npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-todo -a codex`. Or copy the skill folder (skills/multi/dingtalk-todo in DingTalk-Real-AI/dingtalk-workspace-cli) into .agents/skills/dingtalk-todo in your project. Codex loads it when a task matches its description.
Can I use Dingtalk Todo 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-todo -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-todo, .gemini/skills/dingtalk-todo, .github/skills/dingtalk-todo and .opencode/skills/dingtalk-todo in your project.
What does Dingtalk Todo need to run?
Going by SKILL.md and its folder, Dingtalk Todo needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Dingtalk Todo 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 Todo 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Dingtalk Todo use?
Dingtalk Todo 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 Todo use?
About 1.9k tokens (SKILL.md is roughly 7.4k 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 9.5k tokens, read only when the agent opens those files.
What are the alternatives to Dingtalk Todo?
Skills that share tags, products or a category with Dingtalk Todo: Superset Agent Standup (superset-sh/superset, 15k stars), AgentRQ Workspace Agent (agentrq/agentrq, 1.1k stars), Markdown Task Manager (ioniks/MarkdownTaskManager, 535 stars) and Pi Messenger Crew (nicobailon/pi-messenger, 719 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dingtalk Todo?
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.