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DC3 RoundOff

Organization
cas-bigdatalab
DC3_RoundOff

四舍五入数据处理工具。读取结构化数据文件和标准配置文件,根据配置对数字型字段进行四舍五入处理, 然后输出为相同格式的文件。当用户提到四舍五入、数字取整、保留小数位、数据舍入等需求时使用此skill。 即使用户没有明确说出"四舍五入",只要任务涉及根据配置文件对数据进行舍入处理,就应该使用此skill。

Overview

Publishercas-bigdatalab
Repositorypiflow
Skill nameDC3_RoundOff
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 DC3 RoundOff 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/DC3_RoundOff
  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/DC3_RoundOff .claude/skills/DC3_RoundOff
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable DC3 RoundOff 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 DC3 RoundOff 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 DC3 RoundOff 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.

DC3_RoundOff 四舍五入处理Skill

功能概述

本skill用于读取结构化数据文件和标准配置文件,根据配置对数字型字段进行四舍五入处理,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:

  • 四舍五入处理
  • 数字取整
  • 保留小数位
  • 数据舍入
  • 根据配置进行数值精度处理

输入文件说明

原始数据文件 (origin_path)

需要处理的原始数据文件,支持CSV、TSV、Excel、SPSS等格式。

标准配置文件 (standard_path)

配置文件,用于指定哪些字段需要四舍五入以及保留几位小数。配置文件应包含以下列:

  • 流水线:流水线名称(可选,用于筛选配置)
  • 表名:文件名称(可选,用于筛选配置)
  • 字段类型:字段类型(如"数字型")
  • 字段代码:字段名称
  • 小数位:保留的小数位数

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. 原始数据文件路径(需要处理的文件)
  2. 标准配置文件路径(包含字段配置)
  3. 输出文件路径(处理后的文件)
  4. 可选:流水线名称、文件名称(用于筛选配置)

步骤2:执行四舍五入处理脚本

在 scripts/ 目录下找到 DC3_RoundOff.py,使用Python执行:

bash
python scripts/DC3_RoundOff.py --origin_path <原始数据文件> --standard_path <标准配置文件> --output_path <输出文件> [--flow_name <流水线名>] [--file_name <文件名>]

步骤3:返回结果

脚本执行完成后,告知用户四舍五入处理已完成。

输出示例

[OK] Using encoding GB2312 successfully read CSV file
Successfully read file: /path/to/origin.csv, shape: (1000, 18)
Successfully read file: /path/to/standard.csv, shape: (50, 5)
Successfully written file: /path/to/output.csv
Round off completed, result saved to: /path/to/output.csv

注意事项

  1. 需要提供原始数据文件和标准配置文件两个输入
  2. 输出文件格式会自动保持与原始输入文件一致
  3. 仅处理标准配置中指定的数字型字段
  4. 如果用户没有指定输出路径,可以建议使用原文件名加上 _rounded 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 DC3 RoundOff AI skill do?

四舍五入数据处理工具。读取结构化数据文件和标准配置文件,根据配置对数字型字段进行四舍五入处理, 然后输出为相同格式的文件。当用户提到四舍五入、数字取整、保留小数位、数据舍入等需求时使用此skill。 即使用户没有明确说出"四舍五入",只要任务涉及根据配置文件对数据进行舍入处理,就应该使用此skill。

Why use DC3 RoundOff on TypingMind?

Because you install it once and use it with any model. DC3 RoundOff 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 DC3 RoundOff in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cas-bigdatalab/piflow/tree/master/workspace/skills/DC3_RoundOff. 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 DC3 RoundOff?

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 DC3 RoundOff?

As many as you like. As long as a model supports skills, you can use DC3 RoundOff with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the DC3 RoundOff 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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