Home › Skills › Dingtalk Ai Table
MCP & Tools

Dingtalk Ai Table skill for OpenClaw

⬇ 5.3K downloads ★ 10 stars Version 0.6.0 Rank #1256 of 10,000+

What this skill does

钉钉 AI 表格(多维表)操作技能。使用 mcporter CLI 连接钉钉官方新版 AI 表格 MCP server,基于 baseId / tableId / fieldId / recordId 体系执行 Base、Table、Field、Record 的查询与增删改。适用于创建 AI.

The Dingtalk Ai Table skill is part of the MCP & Tools category — MCP and tooling skills that expose extra tools to your agent. You can install it on its own or alongside other mcp & tools skills from the OpenClaw catalog.

The Dingtalk Ai Table skill is ranked #1256 by downloads in the OpenClaw skill catalog (5.3K total downloads, 10 stars). It belongs to the MCP & Tools category alongside 124 other top-10000 skills.

How to install the Dingtalk Ai Table skill

The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:

  1. Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
  2. Open the in-app Skills panel.
  3. Search for dingtalk-ai-table and click Install.
  4. The skill activates automatically when an incoming message matches its description.

Install from the command line

If you already run the OpenClaw CLI, add the Dingtalk Ai Table skill with a single command:

openclaw skills add dingtalk-ai-table

This pulls dingtalk-ai-table from ClawHub and installs it into ~/.openclaw/skills/dingtalk-ai-table/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use the Dingtalk Ai Table skill

Once installed, the Dingtalk Ai Table skill activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.

Manual install (advanced)

If you prefer manual installation:

  1. Click the Download skill .zip button above to grab dingtalk-ai-table-0.6.0.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/dingtalk-ai-table/ (create the directory if it does not exist).
  3. Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.

Frequently asked questions

How do I install Dingtalk Ai Table?

Install Dingtalk Ai Table in the OpenClaw Easy desktop app by opening the Skills panel, searching for dingtalk-ai-table, and clicking Install. From a terminal you can run: openclaw skills add dingtalk-ai-table. Either way the skill is placed in ~/.openclaw/skills/dingtalk-ai-table/.

Is the Dingtalk Ai Table skill free?

Yes. It is free to download and run through ClawHub, with no account or payment required. Each skill is published by its own author under its own licence — see its ClawHub page for the licence and source.

What does Dingtalk Ai Table do?

钉钉 AI 表格(多维表)操作技能。使用 mcporter CLI 连接钉钉官方新版 AI 表格 MCP server,基于 baseId / tableId / fieldId / recordId 体系执行 Base、Table、Field、Record 的查询与增删改。适用于创建 AI.

Related: more mcp & tools skills

If the Dingtalk Ai Table skill looks useful, you may also want to check out other mcp & tools skills in the OpenClaw catalog:

Skills in this catalog are community-contributed integrations published on ClawHub and distributed under their own open-source licences. Product and company names, and any third-party service a skill connects to, are trademarks of their respective owners; a listing here does not imply affiliation with, sponsorship by, or endorsement from them. This page does not distribute any third-party application. Rights holders can reach us at hello@openclaw-easy.com.

Browse the full OpenClaw skill catalog

This page covers just one skill. The OpenClaw skill hub has 10,000+ more — search, sort by downloads or stars, and install any of them in one click. There is also a curated awesome-openclaw-skills list grouped by use case.

Get OpenClaw Easy — Free

Install Dingtalk Ai Table and 10,000+ other OpenClaw skills in one click. Free, open-source, runs locally on macOS & Windows.

Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models