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Pi DataSorting

Organization
cas-bigdatalab
Pi_DataSorting

数据排序工具。读取结构化数据文件,根据指定字段进行升序或降序排序,最后输出为相同格式的文件。 当用户提到数据排序、升序排列、降序排列、按某字段排序等需求时使用此skill。 即使用户没有明确说出"排序",只要任务涉及对数据进行排序,就应该使用此skill。

Overview

Publishercas-bigdatalab
Repositorypiflow
Skill namePi_DataSorting
Stars
541
Forks
172
Bundled files
4
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.

  • 4 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 Pi DataSorting 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/Pi_DataSorting
  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/Pi_DataSorting .claude/skills/Pi_DataSorting
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pi DataSorting 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 Pi DataSorting 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 Pi DataSorting 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.

Pi_DataSorting 数据排序Skill

功能概述

本skill用于读取结构化数据文件,根据用户指定的字段进行升序或降序排序,然后输出为相同格式的文件。

触发条件

当用户请求以下任务时,应使用此skill:

  • 数据排序
  • 升序排列
  • 降序排列
  • 按某字段排序
  • 排序数据
  • 重新排列数据顺序

处理逻辑

  1. 读取输入的结构化数据文件
  2. 解析排序字段(支持多字段,用逗号分隔)
  3. 根据指定的排序方式(asc/desc)进行排序
  4. 输出排序后的数据文件

支持的文件格式

  • CSV (.csv)
  • TSV (.tsv)
  • Excel (.xls, .xlsx)
  • SPSS (.sav)

使用方法

步骤1:获取用户输入输出路径及排序参数

向用户确认:

  1. 输入文件路径(需要排序的文件)
  2. 输出文件路径(排序后的文件)
  3. 排序字段名(必填,支持多字段用逗号分隔,如:ID0000,NAME)
  4. 排序方式(可选,默认asc升序,可选desc降序)

步骤2:执行数据排序脚本

在 scripts/ 目录下找到 Pi_DataSorting.py,使用Python执行:

bash
python scripts/Pi_DataSorting.py --input_path <输入文件> --output_path <输出文件> --id_field_name <排序字段> [--sort_order asc|desc]

步骤3:返回结果

告知用户排序结果。

参数说明

参数必填说明
--input_path是输入文件路径
--output_path是输出文件路径
--id_field_name是排序字段名,支持多字段用逗号分隔
--sort_order否排序方式,asc升序(默认)或desc降序

输出示例

升序排序

[OK] Using encoding GB2312 successfully read CSV file
Successfully read file: /path/to/input.csv, shape: (1000, 18)
Successfully written file: /path/to/output.csv
Data sorting completed! Output to: /path/to/output.csv

降序排序

[OK] Using encoding GB2312 successfully read CSV file
Successfully read file: /path/to/input.csv, shape: (1000, 18)
Successfully written file: /path/to/output.csv
Data sorting completed! Output to: /path/to/output.csv

多字段排序

python Pi_DataSorting.py --input_path input.csv --output_path output.csv --id_field_name "ID0000,NAME" --sort_order asc

注意事项

  1. 排序字段必须存在于数据中
  2. 支持多字段排序,用逗号分隔
  3. 如果用户没有指定输出路径,可以建议使用原文件名加上 _sorted 后缀

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 Pi DataSorting AI skill do?

数据排序工具。读取结构化数据文件,根据指定字段进行升序或降序排序,最后输出为相同格式的文件。 当用户提到数据排序、升序排列、降序排列、按某字段排序等需求时使用此skill。 即使用户没有明确说出"排序",只要任务涉及对数据进行排序,就应该使用此skill。

Why use Pi DataSorting on TypingMind?

Because you install it once and use it with any model. Pi DataSorting 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 Pi DataSorting in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cas-bigdatalab/piflow/tree/master/workspace/skills/Pi_DataSorting. 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 Pi DataSorting?

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 Pi DataSorting?

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

Is the Pi DataSorting 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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