Wecomcli Todo logo

Wecomcli Todo

OrganizationPopular
Pinvou
wecomcli-todo

何时用:仅当用户明确指向企业微信待办(建/查/改企微待办)时使用;泛指记个待办/提醒默认走本地工具,不要误用。企微待办:创建、删除或退出、完成、查询和筛选,以及修改标题、描述、参与人名单和截止时间。

Overview

PublisherPinvou
Repositorypinvou-agent
Skill namewecomcli-todo
Stars
2K
Forks
281
Bundled files
6
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Pinvou on GitHub. Read the source before you install it.

Installation

Install the Wecomcli Todo AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Pinvou/pinvou-agent.git /tmp/pinvou-agent
mkdir -p .claude/skills
cp -r /tmp/pinvou-agent/pinvou3-app/src-tauri/resources/common/bundle/wecom-skills/wecomcli-todo .claude/skills/wecomcli-todo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wecomcli Todo in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Wecomcli Todo on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Wecomcli Todo is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

企业微信待办管理

执行任何 wecom-cli 命令前,必须先读取并完成 wecomcli-shared 技能的公共前置检查。

使用 wecom-cli 管理企业微信待办。

查询与定位

  • 查询范围仅限企业微信待办系统中已经存在的记录。
  • 可按创建时间、截止时间、完成状态和标题/描述关键词查询;关键词是字面匹配,不是语义搜索。
  • 用户问"我有哪些待办""未完成待办有哪些"或"接下来有哪些待办"时,使用 todo list 查询待办系统中的记录。
  • 删除、完成或更新时,若上下文没有 todo_id,先用 todo list 定位;已有 todo_id 且需要确认最新详情或状态时,使用 todo get

接口路由表

[重要事项] 执行任何操作前,必须先定位「接口路由表」指向的参考文档并完整读取,再执行命令,避免出现参数错误。严禁凭路由表描述或自身记忆猜测拼参数。

用户意图参考位置
创建待办(可选分派)references/todo-create.md
删除待办 / 退出待办 / 从我的待办中移除references/todo-delete.md
完成当前用户自己的部分 / 将整条待办全部完成references/todo-finish.md
已有 todo_id 时确认待办详情和最新状态references/todo-get.md
查看待办列表;按创建时间、截止时间、完成状态或关键词筛选;为后续操作定位待办references/todo-list.md
修改待办内容 / 分派人名单 / 截止时间(不含参与人状态)references/todo-update.md

deadline 对象规范

待办的截止时间统一以 deadline 对象表达。涉及"设置截止时间"、"修改截止时间"、"清空截止时间"或读取待办的截止信息时,按本节规范处理。

结构

字段类型必填语义
typestring枚举:date(仅日期,如果用户没有提及具体时分秒,则一定选择date) / datetime(用户提及了具体时刻)
valuestringtype=date 时格式 YYYY-MM-DDtype=datetime 时格式 YYYY-MM-DD HH:mm:ss

在 deadline / remind_at_deadline 字段上的语义

  • 设置或修改 deadline:整体可选;若提供则其内部 typevalue 必填。
  • 清空已设置的截止时间:将 deadline 字段更新为空对象 {};不更新该字段则保持原值不变。
  • 作为返回字段:未设置截止时间的待办,deadline 字段不返回或为 null
  • 提醒时机(remind_at_deadlineremind_at_deadlinedeadline 是一对,必须一起出现——脱离 deadline 单独传 remind_at_deadline 不会生效,不要这么传。remind_at_deadline 只决定提醒时机,入参层面没有"关闭提醒"这一档(是否真正提醒由后台判断,可能因不满足条件而不提醒,以返回的 extra_info 为准):
    • remind_at_deadline=true(仅 deadline.type=datetime 可传)→ 在截止时刻提醒。
    • remind_at_deadline=false 或不传 → 按后台默认的提前时间提醒(不是关闭提醒)。
    • deadline.type=date 或未传 deadline 时不要传 true

从用户输入推断 deadline

日期/星期直接限定待办中的任务或事件时,也视为截止日期。例如"周三开会要带笔记本"应将周三写入 deadline

  1. 待办提醒时间 = 截止时间:明确要"定时提醒的待办 / 到某时提醒的待办 / 待办提醒"且给出具体时刻时,用户预期提醒时间落为 deadline.type=datetime,并传 remind_at_deadline=true;只给日期或未给提醒/截止时间时不追问,不传 remind_at_deadline=true
  2. 普通截止时间:只说截止/到期时间,或给出任务发生日期时,仅填写 deadline、不传 remind_at_deadline;此时按后台默认提前时间提醒。
  3. 时间格式:具体截止/提醒时刻 → deadline.type=datetimevalue="YYYY-MM-DD HH:mm:ss";只有截止日期 → type=datevalue="YYYY-MM-DD"
  4. 未提截止/提醒或任务发生时间deadline 整体不传,remind_at_deadline 也不传,不追问。
  5. xx 时间截止,并提前 yy 提醒deadline 永远填用户说的 xx 截止时间,不要填提前后的提醒时间。当前入参不能直接设置"提前 yy";创建/更新后用返回的 extra_info 判断系统提醒时间是否刚好满足 yy,不满足或无 extra_info 时回复:目前不支持直接创建您需要的提醒时间,已为您设置截止时间为 XX,请到企业微信待办功能中手动修改提醒时间。(XX 填本次 deadline.value

示例

json
{ "type": "date",     "value": "2026-05-08" }
{ "type": "datetime", "value": "2026-05-08 09:00:00" }

特别注意

  • 禁止将 todo_id(待办 ID)展示给用户。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Wecomcli Todo AI skill do?

何时用:仅当用户明确指向企业微信待办(建/查/改企微待办)时使用;泛指记个待办/提醒默认走本地工具,不要误用。企微待办:创建、删除或退出、完成、查询和筛选,以及修改标题、描述、参与人名单和截止时间。

Why use Wecomcli Todo on TypingMind?

Because you install it once and use it with any model. Wecomcli Todo is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Wecomcli Todo in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Pinvou/pinvou-agent/tree/main/pinvou3-app/src-tauri/resources/common/bundle/wecom-skills/wecomcli-todo. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Wecomcli Todo?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Wecomcli Todo?

As many as you like. As long as a model supports skills, you can use Wecomcli Todo with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Wecomcli Todo AI skill free?

Yes. It is published on GitHub by Pinvou under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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