Hook Development for Claude Code Plugins
anthropics/claude-plugins-official
Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.
钉钉 AI 表格（多维表格）操作。当用户提到"钉钉AI表格"、"AI表格"、"多维表格"、"工作表"、"字段"、"记录"、"新增记录"、"查询记录"、"更新记录"、"删除记录"、"新建字段"、"删除字段"、"dingtalk AI table"、"dingtalk notable"、"able文件"时使用此技能。支持工作表管理、字段管理、记录的增删改查等全部操作。
No licenceAuto-check passed
Install Dingtalk AI Table
$ npx skills add breath57/dingtalk-skills --skill dingtalk-ai-table -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install breath57/dingtalk-skills dingtalk-ai-table --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/breath57/dingtalk-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/dingtalk-ai-table .claude/skills/dingtalk-ai-table && 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-ai-table" agent skill from https://github.com/breath57/dingtalk-skills/tree/main/.agents/skills/dingtalk-ai-table 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.
$skill-installer install https://github.com/breath57/dingtalk-skills/tree/main/.agents/skills/dingtalk-ai-tableType 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 breath57/dingtalk-skills --skill dingtalk-ai-table -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install breath57/dingtalk-skills dingtalk-ai-table --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/breath57/dingtalk-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/dingtalk-ai-table .agents/skills/dingtalk-ai-table && 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-ai-table" agent skill from https://github.com/breath57/dingtalk-skills/tree/main/.agents/skills/dingtalk-ai-table 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.
$ npx skills add breath57/dingtalk-skills --skill dingtalk-ai-table -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install breath57/dingtalk-skills dingtalk-ai-table --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/breath57/dingtalk-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/dingtalk-ai-table .cursor/skills/dingtalk-ai-table && 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-ai-table" agent skill from https://github.com/breath57/dingtalk-skills/tree/main/.agents/skills/dingtalk-ai-table 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.
$ gemini skills install https://github.com/breath57/dingtalk-skills.git --path .agents/skills/dingtalk-ai-table--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 breath57/dingtalk-skills --skill dingtalk-ai-table -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install breath57/dingtalk-skills dingtalk-ai-table --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/breath57/dingtalk-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/dingtalk-ai-table .gemini/skills/dingtalk-ai-table && 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-ai-table" agent skill from https://github.com/breath57/dingtalk-skills/tree/main/.agents/skills/dingtalk-ai-table 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.
$ gh skill install breath57/dingtalk-skills dingtalk-ai-tableInstalls 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 breath57/dingtalk-skills --skill dingtalk-ai-table -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/breath57/dingtalk-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/dingtalk-ai-table .github/skills/dingtalk-ai-table && 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-ai-table" agent skill from https://github.com/breath57/dingtalk-skills/tree/main/.agents/skills/dingtalk-ai-table 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.
$ npx skills add breath57/dingtalk-skills --skill dingtalk-ai-table -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install breath57/dingtalk-skills dingtalk-ai-table --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/breath57/dingtalk-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/dingtalk-ai-table .opencode/skills/dingtalk-ai-table && 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-ai-table" agent skill from https://github.com/breath57/dingtalk-skills/tree/main/.agents/skills/dingtalk-ai-table 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
- 101
- Token cost
- ~880 tokens
- SKILL.md length
- 174 words
- Files
- 3 (incl. scripts, references)
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- None found
At a glance
钉钉 AI 表格（多维表格）操作。当用户提到"钉钉AI表格"、"AI表格"、"多维表格"、"工作表"、"字段"、"记录"、"新增记录"、"查询记录"、"更新记录"、"删除记录"、"新建字段"、"删除字段"、"dingtalk AI table"、"dingtalk notable"、"able文件"时使用此技能。支持工作表管理、字段管理、记录的增删改查等全部操作。
- Works in 5 steps: 先识别本次任务类型 → 例如：列工作表、创建字段、查询记录、更新记录、删除记录 → 按本次任务校验所需配置 → 通过 bash… → 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… → …
- SKILL.md covers 核心概念, 工作流程（每次执行前） and references/api.md 查阅索引
- Runs Shell scripts from its folder; calls bash and curl; reaches alidocs.dingtalk.com and api.dingtalk.com; needs DINGTALK_APP_KEY and DINGTALK_APP_SECRET
What it does
Dingtalk AI Table is an agent skill from breath57/dingtalk-skills. 钉钉 AI 表格（多维表格）操作。当用户提到"钉钉AI表格"、"AI表格"、"多维表格"、"工作表"、"字段"、"记录"、"新增记录"、"查询记录"、"更新记录"、"删除记录"、"新建字段"、"删除字段"、"dingtalk AI table"、"dingtalk notable"、"able文件"时使用此技能。支持工作表管理、字段管理、记录的增删改查等全部操作。
Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/api.md` and `scripts/dt_helper.sh`).
It works with Bash. The repository describes itself as: 【Openclaw & Hermes & 企业机器人🤖】钉钉Skill库，含：钉钉文档、知识库、AI(多维)表格、群(单)聊、会议室、日程、待办、通讯录、AI搜索等，自动管理配置，轻量级—仅依赖curl， skill经过严格测试。Lightweight DingTalk Skill Library (curl only). Includes AI…
Example prompts
- “钉钉AI表格”
- “dingtalk AI table”
- “dingtalk notable”
- “/dingtalk-ai-table”
Requirements
- A Bash shell
- A credential in DINGTALK_APP_KEY
- A credential in DINGTALK_APP_SECRET
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 先识别本次任务类型 → 例如：列工作表、创建字段、查询记录、更新记录、删除记录
- 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
- 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
- 获取 Token / operatorId → 直接调用 bash scripts/dt_helper.sh，token 获取与缓存细节无需关心
- 执行操作 → 凡是包含变量替换、管道或多行逻辑的命令，写入 /tmp/.sh 再 bash /tmp/.sh 执行。不要把多行命令直接粘到终端里（终端工具会截断），也不要用 <<'EOF' 语法（heredoc 在工具中同样会被截断导致变量丢失）
What it can do on your machine
Read from SKILL.md and the folder at commit 2d3ea3f. 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), which the agent can run.
Shell commands in SKILL.md call:
bashcurl
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:
alidocs.dingtalk.comapi.dingtalk.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
DINGTALK_APP_KEYDINGTALK_APP_SECRETNEW_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Dingtalk AI Table loads about 880 tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 50 tokens; SKILL.md has 174 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 174 words (~880 tokens).
“负责钉钉 AI 表格（.able 格式多维表格）的所有操作。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」。”
- name
- dingtalk-ai-table
Files
SKILL.md and 2 other files (scripts, references) in .agents/skills/dingtalk-ai-table of breath57/dingtalk-skills.
- SKILL.md
- references/api.md
- scripts/dt_helper.sh
Open the folder on GitHubat commit 2d3ea3f
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dingtalk AI Table this skillbreath57/dingtalk-skills | 101 | — | ~880 | Automated safety check: Pass | None | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 10 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Plugin Settings Patternanthropics/claude-plugins-official | 38k | 7 repos | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Mole Bug Patternstw93/Mole | 70k | — | ~2k | Automated safety check: Pass | GPL-3.0 | |
| Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills | 21k | — | ~1.9k | Automated safety check: Pass | MIT | |
| E2Ecallstack/react-native-pager-view | 3.4k | 1 repos | ~2.1k | Automated safety check: Pass | MIT |
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Related
Works with
Questions about Dingtalk AI Table
What does Dingtalk AI Table do?
钉钉 AI 表格（多维表格）操作。当用户提到"钉钉AI表格"、"AI表格"、"多维表格"、"工作表"、"字段"、"记录"、"新增记录"、"查询记录"、"更新记录"、"删除记录"、"新建字段"、"删除字段"、"dingtalk AI table"、"dingtalk notable"、"able文件"时使用此技能。支持工作表管理、字段管理、记录的增删改查等全部操作。. Dingtalk AI Table is an agent skill from breath57/dingtalk-skills.
How do I install Dingtalk AI Table in Claude Code?
Run `npx skills add breath57/dingtalk-skills --skill dingtalk-ai-table -a claude-code`. Or copy the skill folder (.agents/skills/dingtalk-ai-table in breath57/dingtalk-skills) 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 breath57/dingtalk-skills --skill dingtalk-ai-table -a codex`. Or copy the skill folder (.agents/skills/dingtalk-ai-table in breath57/dingtalk-skills) 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 breath57/dingtalk-skills --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, the command-line tools its instructions call (bash and curl) and credentials named DINGTALK_APP_KEY, DINGTALK_APP_SECRET and NEW_TOKEN. Our summary lists: A Bash shell; A credential in DINGTALK_APP_KEY; A credential in DINGTALK_APP_SECRET.
Does Dingtalk AI Table access the network?
SKILL.md names 2 domains. In commands or code: alidocs.dingtalk.com and api.dingtalk.com; the agent is likely to contact these 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 880 tokens (SKILL.md is roughly 3.5k 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 1.6k 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: Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Plugin Settings Pattern (anthropics/claude-plugins-official, 38k stars), Mole Bug Patterns (tw93/Mole, 70k stars) and Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k 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?
breath57 (a GitHub user) maintains it in breath57/dingtalk-skills, which has 101 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on June 26, 2026.
Source: breath57/dingtalk-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.