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数据搬运工

Community
laborany
数据搬运工

通用数据迁移与格式转换工具,支持多种文件格式互转及简单的数据清洗。当用户需要转换文件格式、提取数据或进行数据迁移时调用。

Overview

Publisherlaborany
Repositorylaborany
Skill name数据搬运工
Stars
84
Forks
10
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the 数据搬运工 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/laborany/laborany.git /tmp/laborany
mkdir -p .claude/skills
cp -r /tmp/laborany/skills/data-transfer .claude/skills/laborany-3
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 数据搬运工 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 数据搬运工 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 数据搬运工 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.

数据搬运工 (Data Transfer)

高效、可靠的数据迁移与格式转换专家 (ETL Tool)。

核心能力

1. 全能格式转换

支持以下格式之间的两两互转:

  • 表格类:Excel (xlsx/xls), CSV, TSV
  • 结构化数据:JSON, JSONL, XML, YAML
  • 数据库:SQL Insert 语句, SQLite 数据库文件

2. 智能数据清洗

在搬运过程中自动执行:

  • 空值处理:填充默认值或删除空行。
  • 类型推断:自动识别数字、日期、布尔值字符串并转换。
  • 去重:根据指定字段删除重复记录。
  • 字段映射:重命名列名(如:将 user_name 映射为 姓名)。

3. 批量处理

  • 支持指定文件夹,一键转换目录下所有符合条件的文件。
  • 自动合并多个小文件为一个大文件(Merge)。

使用指南

场景一:格式转换

用户:“把这个 Excel 表转成 JSON 格式,我要给前端用。” 操作

  1. 读取 Excel 文件,识别表头。
  2. 将每一行转换为 JSON 对象。
  3. 输出 .json 文件。

场景二:数据导入准备

用户:“帮我把这个 CSV 里的用户数据生成 SQL 插入语句。” 操作

  1. 读取 CSV。
  2. 根据表结构生成 INSERT INTO users (...) VALUES (...) 语句。
  3. 保存为 .sql 文件。

示例代码 (Python)

python
# 简单的 CSV 转 JSON 示例
import pandas as pd

def convert_csv_to_json(input_path, output_path):
    df = pd.read_csv(input_path)
    df.to_json(output_path, orient='records', force_ascii=False)

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 数据搬运工 AI skill do?

通用数据迁移与格式转换工具,支持多种文件格式互转及简单的数据清洗。当用户需要转换文件格式、提取数据或进行数据迁移时调用。

Why use 数据搬运工 on TypingMind?

Because you install it once and use it with any model. 数据搬运工 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 数据搬运工 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/laborany/laborany/tree/main/skills/data-transfer. 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 数据搬运工?

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 数据搬运工?

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

Is the 数据搬运工 AI skill free?

Yes. It is published on GitHub by laborany 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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