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Dingtalk Contact

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breath57
dingtalk-contact

钉钉通讯录与联系人查询。当用户提到"钉钉通讯录"、"查找员工"、"搜索用户"、"查用户信息"、"获取用户详情"、"用户手机号"、"员工姓名"、"员工工号"、"查部门"、"搜索部门"、"部门成员"、"部门列表"、"部门详情"、"子部门"、"父部门"、"部门路径"、"员工总数"、"通讯录搜索"、"userId 转 unionId"、"unionId 转 userId"、"dingtalk contact"、"dingtalk directory"、"find user"、"get user info"、"department members"时使用此技能。支持:按关键词搜索用户/部门、获取用户完整信息(姓名/手机/工号/部门/职位/unionId)、获取部门成员列表、获取部门树结构、查询用户所在部门路径、员工总人数统计等全部通讯录操作。

Overview

Publisherbreath57
Repositorydingtalk-skills
Skill namedingtalk-contact
Stars
102
Forks
10
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by breath57 on GitHub. Read the source before you install it.

Installation

Install the Dingtalk Contact 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.
    https://github.com/breath57/dingtalk-skills/tree/main/.agents/skills/dingtalk-contact
  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/breath57/dingtalk-skills.git /tmp/dingtalk-skills
mkdir -p .claude/skills
cp -r /tmp/dingtalk-skills/.agents/skills/dingtalk-contact .claude/skills/dingtalk-contact
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dingtalk Contact 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 Dingtalk Contact 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 Dingtalk Contact 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.

钉钉通讯录技能

负责钉钉通讯录的所有查询操作。本文件为策略指南,仅包含决策逻辑和工作流程。完整 API 请求格式见文末「references/api.md 查阅索引」。

dt_helper.sh 位于本 SKILL.md 同级目录的 scripts/dt_helper.sh。

工作流程(每次执行前)

  1. 先识别本次任务类型 → 例如:搜索用户、查用户详情、搜索部门、列部门成员、查部门路径、统计员工数
  2. 按本次任务校验所需配置 → 通过 bash scripts/dt_helper.sh --get KEY 读取;仅校验本任务必须项
  3. 仅收集缺失配置 → 若缺少某项,一次性询问用户所有缺失值,用 bash scripts/dt_helper.sh --set KEY=VALUE 写入
  4. 获取 Token → 直接调用 bash scripts/dt_helper.sh
  5. 执行操作 → 复杂的创建临时文件再执行,简单的直接执行;禁止 heredoc

按任务校验配置(必须先做)

  • 所有任务通用必需:DINGTALK_APP_KEY、DINGTALK_APP_SECRET
  • 需要“以当前操作者为起点”或“直接读取本人身份信息”的任务:必须有 DINGTALK_MY_USER_ID

规则:未通过“本次任务配置校验”前,不得进入 API 调用步骤。

凭证禁止在输出中完整打印,确认时仅显示前 4 位 + ****

所需配置

配置键必填说明如何获取
DINGTALK_APP_KEY✅应用 AppKey钉钉开放平台 → 应用管理 → 凭证信息
DINGTALK_APP_SECRET✅应用 AppSecret同上
DINGTALK_MY_USER_ID❌当前操作用户的 userId(即运行此技能的人自己),仅在需要以自身为起点查询时才需要管理后台 → 通讯录 → 成员管理 → 点击姓名查看

身份标识说明

标识说明
userId(= staffId)企业内部员工 ID,可通过通过管理后台 -> 通讯录 -> 成员管理 -> 点击姓名查看
unionId跨企业/跨应用唯一标识,可通过 bash scripts/dt_helper.sh --to-unionid <userid> 获取

执行脚本模板

bash
#!/bin/bash
set -e
HELPER="./scripts/dt_helper.sh"
NEW_TOKEN=$(bash "$HELPER" --token)       # api.dingtalk.com 接口用
OLD_TOKEN=$(bash "$HELPER" --old-token)   # oapi.dingtalk.com 接口用
# USER_ID=$(bash "$HELPER" --get DINGTALK_MY_USER_ID)  # 以当前操作用户为起点时启用

# 在此追加具体 API 调用,例如按姓名搜索用户并获取详情:
KEYWORD="张三"
SEARCH=$(curl -s -X POST https://api.dingtalk.com/v1.0/contact/users/search \
  -H "x-acs-dingtalk-access-token: $NEW_TOKEN" \
  -H 'Content-Type: application/json' \
  -d "{\"queryWord\":\"$KEYWORD\",\"offset\":0,\"size\":20}")
echo "搜索结果: $SEARCH"

TARGET_UID=$(echo "$SEARCH" | grep -o '"list":\["[^"]*"' | grep -o '"[^"]*"$' | tr -d '"')
DETAIL=$(curl -s -X POST "https://oapi.dingtalk.com/topapi/v2/user/get?access_token=${OLD_TOKEN}" \
  -H 'Content-Type: application/json' \
  -d "{\"userid\":\"$TARGET_UID\",\"language\":\"zh_CN\"}")
echo "用户详情: $DETAIL"

Token 失效处理:dt_helper 仅按时间缓存,无法感知 token 被提前吊销。若 API 返回 errcode 40001/40014(token 无效/过期),用 --nocache 跳过缓存强制重新获取:

bash
OLD_TOKEN=$(bash "$HELPER" --old-token --nocache)  # 强制重新获取旧版 token
NEW_TOKEN=$(bash "$HELPER" --token --nocache)       # 强制重新获取新版 token

references/api.md 查阅索引

确定好要做什么之后,用以下命令从 references/api.md 中提取对应章节的完整 API 细节(请求格式、参数说明、返回值示例):

bash
grep -A 30 "^## 1. 按关键词搜索用户" references/api.md
grep -A 50 "^## 2. 获取用户完整详情" references/api.md
grep -A 20 "^## 3. unionId → userId 转换" references/api.md
grep -A 18 "^## 4. 企业员工总人数" references/api.md
grep -A 25 "^## 5. 按关键词搜索部门" references/api.md
grep -A 25 "^## 6. 获取子部门列表" references/api.md
grep -A 20 "^## 7. 获取子部门 ID 列表" references/api.md
grep -A 25 "^## 8. 获取部门详情" references/api.md
grep -A 40 "^## 9. 获取部门成员完整列表" references/api.md
grep -A 18 "^## 10. 获取部门成员 userId 列表" references/api.md
grep -A 20 "^## 11. 获取用户所在部门路径" references/api.md
grep -A 12 "^## 错误码" references/api.md
grep -A 6 "^## 所需应用权限" references/api.md

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 Dingtalk Contact AI skill do?

钉钉通讯录与联系人查询。当用户提到"钉钉通讯录"、"查找员工"、"搜索用户"、"查用户信息"、"获取用户详情"、"用户手机号"、"员工姓名"、"员工工号"、"查部门"、"搜索部门"、"部门成员"、"部门列表"、"部门详情"、"子部门"、"父部门"、"部门路径"、"员工总数"、"通讯录搜索"、"userId 转 unionId"、"unionId 转 userId"、"dingtalk contact"、"dingtalk directory"、"find user"、"get user info"、"department members"时使用此技能。支持:按关键词搜索用户/部门、获取用户完整信息(姓名/手机/工号/部门/职位/unionId)、获取部门成员列表、获取部门树结构、查询用户所在部门路径、员工总人数统计等全部通讯录操作。

Why use Dingtalk Contact on TypingMind?

Because you install it once and use it with any model. Dingtalk Contact 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 Dingtalk Contact in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/breath57/dingtalk-skills/tree/main/.agents/skills/dingtalk-contact. 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 Dingtalk Contact?

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 Dingtalk Contact?

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

Is the Dingtalk Contact AI skill free?

It is published on GitHub by breath57. Check the repository for licensing terms. 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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