Data Merge Concat logo

Data Merge Concat

Organization
cas-bigdatalab
data_merge_concat

数据纵向拼接工具。读取多个具有相同列结构的结构化数据文件,执行按行纵向追加合并(concat),输出单一合并文件。 当用户提到数据拼接、纵向合并、行合并、数据追加、文件合并等需求时使用此skill。 即使用户没有明确说出"拼接",只要任务涉及将多个同构数据文件上下合并为一个,就应该使用此skill。 不负责横向关联(join/merge on key)、字段级合并或非结构化文档聚合。如需按键值关联请使用其他skill。

Overview

Publishercas-bigdatalab
Repositorypiflow
Skill namedata_merge_concat
Stars
541
Forks
172
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 cas-bigdatalab on GitHub. Read the source before you install it.

Installation

Install the Data Merge Concat 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/cas-bigdatalab/piflow/tree/master/workspace/skills/data_merge_concat
  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/cas-bigdatalab/piflow.git /tmp/piflow
mkdir -p .claude/skills
cp -r /tmp/piflow/workspace/skills/data_merge_concat .claude/skills/data_merge_concat
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Data Merge Concat 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 Data Merge Concat 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 Data Merge Concat 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.

Data Merge Concat 数据纵向拼接 Skill

功能概述

本skill用于将多个具有相同列结构的数据文件纵向拼接(按行合并)。

文件1:          文件2:          合并结果:
| A | B |       | A | B |       | A | B |
|---|---|----       |---|---|       |---|---|
| 1 | 2 |       | 5 | 6 |       | 1 | 2 |
| 3 | 4 |       | 7 | 8 |       | 3 | 4 |
                                | 5 | 6 |
                                | 7 | 8 |

触发条件

当用户请求以下任务时,应使用此skill:

  • 数据拼接/纵向合并
  • 行合并/数据追加
  • 多文件上下合并

核心参数说明

必需参数

参数说明
--input_files输入文件路径,多个文件用逗号分隔
--output输出文件路径

可选参数

参数说明默认值
--ignore_index是否忽略原索引重新编号True
--use_dask是否使用Dask处理大数据False
--blocksizeDask分块大小64MB

输入文件格式

所有输入文件必须具有相同的列结构(列名和列数一致)。支持的格式:

  • CSV (.csv):逗号分隔值
  • TSV (.tsv):制表符分隔值
  • Excel (.xls, .xlsx):电子表格
  • SPSS (.sav):SPSS 数据文件

示例输入结构(file1.csv):

csv
experiment,treatment,value,baseline,remark
A,control,10,100,normal
A,control,11,101,normal

使用方法

基本用法(纵向拼接多个CSV文件)

bash
python scripts/run_data_merge_concat.py \
  --input_files "file1.csv,file2.csv,file3.csv" \
  --output merged.csv

保留原索引

bash
python scripts/run_data_merge_concat.py \
  --input_files "file1.csv,file2.csv" \
  --output merged.csv \
  --ignore_index False

使用Dask处理大数据

bash
python scripts/run_data_merge_concat.py \
  --input_files "large1.csv,large2.csv" \
  --output merged.csv \
  --use_dask True \
  --blocksize "128MB"

输出示例

命令行输出:

[OK] Data merge completed!
   Engine: pandas
   Merge type: concat
   Input files: 3
   Total rows before merge: 4, 2, 6
   Total rows after merge: 12
   Total columns after merge: 5
   Output file: merged.csv

输出CSV格式:

csv
experiment,treatment,value,baseline,remark
A,control,10,100,normal
A,control,11,101,normal
A,treat,12,120,normal
B,control,20,200,normal
B,treat,100,500,outlier

环境要求

本skill使用标准Python数据科学库:

bash
pip install pandas openpyxl xlrd xlwt

可选依赖(大文件Dask模式):

bash
pip install dask[dataframe]

注意事项

  1. 所有输入文件必须具有相同的列结构和列数
  2. 输出文件格式由输出路径的扩展名决定
  3. 大文件合并建议开启Dask模式(--use_dask True)
  4. 混合编码文件(UTF-8/GBK)会自动检测编码

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 Data Merge Concat AI skill do?

数据纵向拼接工具。读取多个具有相同列结构的结构化数据文件,执行按行纵向追加合并(concat),输出单一合并文件。 当用户提到数据拼接、纵向合并、行合并、数据追加、文件合并等需求时使用此skill。 即使用户没有明确说出"拼接",只要任务涉及将多个同构数据文件上下合并为一个,就应该使用此skill。 不负责横向关联(join/merge on key)、字段级合并或非结构化文档聚合。如需按键值关联请使用其他skill。

Why use Data Merge Concat on TypingMind?

Because you install it once and use it with any model. Data Merge Concat 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 Data Merge Concat in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cas-bigdatalab/piflow/tree/master/workspace/skills/data_merge_concat. 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 Data Merge Concat?

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 Data Merge Concat?

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

Is the Data Merge Concat AI skill free?

It is published on GitHub by cas-bigdatalab. 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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