Agent skill

Dingtalk AI Table

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 表格、搜索表格、读取表结构、批量增删改记录、批量建字段、更新字段配置、按模板建表等场景。需要配置…

No licenceAuto-check passedAgent Workflows

Install Dingtalk AI Table

skills CLI

$ npx skills add aliramw/dingtalk-ai-table --skill dingtalk-ai-table -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install aliramw/dingtalk-ai-table dingtalk-ai-table --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "dingtalk-ai-table" agent skill from https://github.com/aliramw/dingtalk-ai-table/tree/main into .claude/skills/dingtalk-ai-table/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-ai-table", 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.

skills CLI

$ npx skills add aliramw/dingtalk-ai-table --skill dingtalk-ai-table -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install aliramw/dingtalk-ai-table dingtalk-ai-table --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "dingtalk-ai-table" agent skill from https://github.com/aliramw/dingtalk-ai-table/tree/main into .agents/skills/dingtalk-ai-table/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-ai-table", 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.

skills CLI

$ npx skills add aliramw/dingtalk-ai-table --skill dingtalk-ai-table -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install aliramw/dingtalk-ai-table dingtalk-ai-table --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "dingtalk-ai-table" agent skill from https://github.com/aliramw/dingtalk-ai-table/tree/main into .cursor/skills/dingtalk-ai-table/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-ai-table", 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.

skills CLI

$ npx skills add aliramw/dingtalk-ai-table --skill dingtalk-ai-table -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install aliramw/dingtalk-ai-table dingtalk-ai-table --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "dingtalk-ai-table" agent skill from https://github.com/aliramw/dingtalk-ai-table/tree/main into .gemini/skills/dingtalk-ai-table/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-ai-table", 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.

GitHub CLI

$ gh skill install aliramw/dingtalk-ai-table dingtalk-ai-table

Installs 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).

skills CLI

$ npx skills add aliramw/dingtalk-ai-table --skill dingtalk-ai-table -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "dingtalk-ai-table" agent skill from https://github.com/aliramw/dingtalk-ai-table/tree/main into .github/skills/dingtalk-ai-table/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-ai-table", 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.

skills CLI

$ npx skills add aliramw/dingtalk-ai-table --skill dingtalk-ai-table -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install aliramw/dingtalk-ai-table dingtalk-ai-table --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "dingtalk-ai-table" agent skill from https://github.com/aliramw/dingtalk-ai-table/tree/main into .opencode/skills/dingtalk-ai-table/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-ai-table", 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-ai-table
GitHub stars: 110
Token cost: ~2k tokens
SKILL.md length: 358 words
Files: 26 (incl. scripts, references)
Skills in repo: 1
Repo updated: Mar 31, 2026
First seen: Oct 7, 2026
Licence: None found

At a glance

Works in 6 steps: 先找 Base → 再拿 Table 目录 → 再展开表结构 → …
Tasks that involve MCP servers
SKILL.md covers 🚀 5 分钟快速开始, 核心概念, 版本守门规则（每个 MCP Server 地址只强制检查一次） and 前置要求, plus 2 more sections
Runs Shell scripts from its folder; calls python3, npm and bun; reaches mcp.dingtalk.com

What it does

Dingtalk AI Table is an agent skill from aliramw/dingtalk-ai-table. 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 表格、搜索表格、读取表结构、批量增删改记录、批量建字段、更新字段配置、按模板建表等场景。需要配置 DINGTALKMCPURL 或直接使用 Streamable HTTP URL。

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 27 other files, including scripts and reference files (for example `BENCHMARKS.md`, `CHANGELOG.md` and `GETTING_STARTED.md`).

It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: 钉钉 AI 表格（多维表）操作技能 - OpenClaw Skill.

When your agent uses it

Tasks that involve MCP servers

Example prompts

“/dingtalk-ai-table”

Requirements

Python 3
Node.js
A Bash shell

Workflow steps

6 steps, taken from the step headings in SKILL.md.

先找 Base
再拿 Table 目录
再展开表结构
字段复杂时读完整配置
再查 / 写记录
写入附件字段

What it can do on your machine

Read from SKILL.md and the folder at commit d285d76. 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 1 file in scripts/ (Shell, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
- python3
- npm
- bun
- curl
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- mcp.dingtalk.com
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 AI Table loads about 2k tokens when it runs, and up to ~5.9k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 358 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~64
When it runs · the whole SKILL.md, loaded when a task matches: ~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~5.9k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 358 words (~2,009 tokens).

name: dingtalk-ai-table
version: 0.6.0
metadata.author: Marila@Dingtalk
metadata.category: productivity
metadata.tags: dingtalk, spreadsheet, mcp, automation, data-management
metadata.documentation: https://github.com/aliramw/dingtalk-ai-table
metadata.support: https://github.com/aliramw/dingtalk-ai-table/issues

Outline of SKILL.md

钉钉 AI 表格操作（新版 MCP）
🚀 5 分钟快速开始
1️⃣ 列出我的表格
2️⃣ 创建新表格
3️⃣ 添加记录
4️⃣ 查询记录
5️⃣ 批量导入
核心概念
版本守门规则（每个 MCP Server 地址只强制检查一次）
一次性检查策略
强制检查时执行
判断标准
遇到旧版 schema 时的强制提示
通过检查后的处理
用户提示文案（可直接复用）
前置要求
安装 mcporter CLI
配置 MCP Server
工作区沙箱
核心工具集
Base 层
Table 层
Field 层
Record 层
附件层
推荐工作流
1. 先找 Base
2. 再拿 Table 目录
3. 再展开表结构
4. 字段复杂时读完整配置

Read the full SKILL.md on GitHub

Files

SKILL.md and 25 other files (scripts, references) in the repository root of aliramw/dingtalk-ai-table.

SKILL.md
.DS_Store
BENCHMARKS.md
CHANGELOG.md
GETTING_STARTED.md
README.md
SCORING.md
examples/01-list-bases.sh
examples/02-create-base.sh
examples/03-get-base.sh
examples/04-query-records.sh
examples/05-create-records.sh
examples/06-import-records.sh
examples/07-bulk-add-fields.sh
examples/README.md
package.json
references/api-reference.md
references/error-codes.md
scripts
… and 7 more

Open the folder on GitHubat commit d285d76

Compare with similar skills

Dingtalk AI Table 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.

Dingtalk AI Table compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Dingtalk AI Table this skillaliramw/dingtalk-ai-table	110	—	~2k	Automated safety check: Pass	None	6 mo ago
MCP Server Builderanthropics/skills	180k	63 repos	~2.3k	Automated safety check: Pass	Apache-2.0	today
MCP Server BuildershareAI-lab/learn-claude-code	78k	4 repos	~1.2k	Automated safety check: Pass	MIT	12 days ago
MCP Integration for Pluginsanthropics/claude-plugins-official	38k	11 repos	~3.1k	Automated safety check: Pass	Apache-2.0	today
Crush Configurationcharmbracelet/crush	29k	—	~3.7k	Automated safety check: Pass	Custom licence	today
Context Mode Output Sandboxmksglu/context-mode	26k	—	~4.1k	Automated safety check: Pass	Custom licence	today

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Works with

Model Context Protocol

Questions about Dingtalk AI Table

What does Dingtalk AI Table do?

When should I use Dingtalk AI Table?

Dingtalk AI Table fits situations like: tasks that involve MCP servers.

How do I install Dingtalk AI Table in Claude Code?

Run `npx skills add aliramw/dingtalk-ai-table --skill dingtalk-ai-table -a claude-code`. Or copy the skill folder (the aliramw/dingtalk-ai-table repository) into .claude/skills/dingtalk-ai-table in your project. Claude Code loads it when a task matches its description.

How do I install Dingtalk AI Table in Codex?

Run `npx skills add aliramw/dingtalk-ai-table --skill dingtalk-ai-table -a codex`. Or copy the skill folder (the aliramw/dingtalk-ai-table repository) into .agents/skills/dingtalk-ai-table in your project. Codex loads it when a task matches its description.

Can I use Dingtalk AI Table 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 aliramw/dingtalk-ai-table --skill dingtalk-ai-table -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-ai-table, .gemini/skills/dingtalk-ai-table, .github/skills/dingtalk-ai-table and .opencode/skills/dingtalk-ai-table in your project.

What does Dingtalk AI Table need to run?

Going by SKILL.md and its folder, Dingtalk AI Table needs a shell for the scripts in its folder and the command-line tools its instructions call (python3, npm, bun and curl). Our summary lists: Python 3; Node.js; A Bash shell.

Does Dingtalk AI Table access the network?

SKILL.md names 1 domain. In commands or code: mcp.dingtalk.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Dingtalk AI Table 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 AI Table use?

No licence was found for Dingtalk AI Table or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Dingtalk AI Table use?

About 2k tokens (SKILL.md is roughly 8k 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 3.9k tokens, read only when the agent opens those files.

What are the alternatives to Dingtalk AI Table?

Skills that share tags, products or a category with Dingtalk AI Table: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Crush Configuration (charmbracelet/crush, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dingtalk AI Table?

aliramw (a GitHub user) maintains it in aliramw/dingtalk-ai-table, which has 110 GitHub stars. The repository was last updated on March 31, 2026.

Source: aliramw/dingtalk-ai-table on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Dingtalk AI Table

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Files

Compare with similar skills

Similar skills

MCP Server Builder

MCP Server Builder

MCP Integration for Plugins

Crush Configuration

Context Mode Output Sandbox

Warp GUI to Agent CLI Migration

Related

Questions about Dingtalk AI Table