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Pi AddMonotonicallyIncreasingID

Organization
cas-bigdatalab
Pi_AddMonotonicallyIncreasingID

添加单调递增ID工具。读取结构化数据文件,检查是否存在指定的ID字段(默认为ID0000), 如果不存在则添加从1开始的单调递增ID字段,并将其放在第一列,最后输出为相同格式的文件。 当用户提到添加ID、添加自增ID、添加序号、添加行号等需求时使用此skill。 即使用户没有明确说出"添加ID",只要任务涉及给数据添加自增ID,就应该使用此skill。

Overview

Publishercas-bigdatalab
Repositorypiflow
Skill namePi_AddMonotonicallyIncreasingID
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 AddMonotonicallyIncreasingID 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_AddMonotonicallyIncreasingID
  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_AddMonotonicallyIncreasingID .claude/skills/Pi_AddMonotonicallyIncreasingID
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pi AddMonotonicallyIncreasingID 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 AddMonotonicallyIncreasingID 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 AddMonotonicallyIncreasingID 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_AddMonotonicallyIncreasingID 添加单调递增ID Skill

功能概述

本skill用于读取结构化数据文件,检查是否存在指定的ID字段。如果该字段不存在,则添加从1开始的单调递增ID字段,并将其放在第一列,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:

  • 添加ID
  • 添加自增ID
  • 添加序号
  • 添加行号
  • 添加递增ID
  • 补全ID字段

处理逻辑

  1. 读取输入的结构化数据文件
  2. 检查指定的ID字段是否存在(默认字段名:ID0000)
  3. 如果字段不存在:
    • 添加从1开始的单调递增ID
    • 将ID字段放到第一列位置
  4. 如果字段已存在,则不添加(保持原样)
  5. 输出处理后的数据文件

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

向用户确认:

  1. 输入文件路径(需要添加ID的文件)
  2. 输出文件路径(处理后的文件)
  3. 可选:ID字段名(默认:ID0000)

步骤2:执行添加单调递增ID脚本

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

bash
python scripts/Pi_AddMonotonicallyIncreasingID.py --input_path <输入文件> --output_path <输出文件> [--id_field_name <字段名>]

步骤3:返回结果

告知用户处理结果:

  • 如果字段已存在:告知用户ID字段已存在,无需添加
  • 如果字段不存在:告知用户已添加ID字段及ID范围

输出示例

ID字段不存在,已添加

[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
Processing completed! Result saved to: /path/to/output.csv
Field 'ID0000' was added with IDs from 1 to 1000.

ID字段已存在

[OK] Using encoding GB2312 successfully read CSV file
Successfully read file: /path/to/input.csv, shape: (1000, 19)
Successfully written file: /path/to/output.csv
Processing completed! Result saved to: /path/to/output.csv
Field 'ID0000' already exists.

注意事项

  1. 输入输出路径需要用户提供
  2. 输出文件格式会自动保持与输入文件一致
  3. 默认字段名为ID0000,可通过 --id_field_name 参数自定义
  4. ID从1开始递增
  5. 新增的ID字段会放在第一列位置
  6. 如果用户没有指定输出路径,可以建议使用原文件名加上 _with_id 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 AddMonotonicallyIncreasingID AI skill do?

添加单调递增ID工具。读取结构化数据文件,检查是否存在指定的ID字段(默认为ID0000), 如果不存在则添加从1开始的单调递增ID字段,并将其放在第一列,最后输出为相同格式的文件。 当用户提到添加ID、添加自增ID、添加序号、添加行号等需求时使用此skill。 即使用户没有明确说出"添加ID",只要任务涉及给数据添加自增ID,就应该使用此skill。

Why use Pi AddMonotonicallyIncreasingID on TypingMind?

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

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

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 AddMonotonicallyIncreasingID?

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

Is the Pi AddMonotonicallyIncreasingID 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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