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Excel工具

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XiaoMaColtAI
Excel工具

读取、创建、修改和验证 XLSX，支持模板保留、公式重算和错误检查。

Overview

PublisherXiaoMaColtAI
Repositorymath-modeling-skill
Skill nameExcel工具
Stars
1.6K
Forks
84
Bundled files
Instructions only
Links
Skill sourceRepositoryHomepage
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Excel工具 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/XiaoMaColtAI/math-modeling-skill.git /tmp/math-modeling-skill
mkdir -p .claude/skills
cp -r /tmp/math-modeling-skill/dsh-plugin/math-modeling-agent/skills/math-modeling/tools/xlsx .claude/skills/xiaomacoltai-excel
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Excel工具 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 Excel工具 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 Excel工具 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.

Excel 工具

原则

  • 输入表格只读，输出写入 PROJECT_ROOT。
  • 普通结果汇总优先 CSV。
  • 题目指定 XLSX、需保留公式、多工作表或模板结构时才使用 XLSX。
  • 不覆盖题目原始附件和 Skill 文件。

读取与写入

python
import pandas as pd

# 第一行就是数据时必须显式使用 header=None。
data = pd.read_excel("data/input.xlsx", sheet_name=0, header=None)
assert len(data) == 7470, f"行数异常: {len(data)}"
result = pd.DataFrame({"方案": names, "目标值": values})
result.to_excel("results/结果.xlsx", index=False)

禁止依赖 pandas.read_excel() 默认的 header=0 猜测表头，否则第一行数据会被当成列名。未知表头结构或必须精确保留行时使用无隐式推断的读取工具：

python
from scripts.read_rows import read_excel_rows

rows = read_excel_rows(
    "data/input.xlsx",
    header=False,
    expected_rows=7470,
)
assert rows[0][0] == 399.6747

读取后必须核对首行、末行、原始工作表有效行数和题目声明的记录数；行数不符时立即报错，不得静默继续建模。

使用模板时用 openpyxl.load_workbook() 打开，写入指定单元格后另存新文件。不要删除未知工作表、命名区域、公式或验证规则。

公式重算

openpyxl 不计算公式。修改含公式的工作簿后使用 LibreOffice 隔离重算：

powershell
python scripts/recalc.py "<PROJECT_ROOT>/results/结果.xlsx" 60

工具会：

  1. 使用唯一临时 LibreOffice 配置；
  2. 把重算结果写入临时目录；
  3. 检查常见 Excel 错误；
  4. 仅在成功后原子替换目标文件；
  5. 超时、失败或未生成输出时保留原文件。

DOCX 与 XLSX 共用的 OOXML/LibreOffice 基础代码位于 ../docx/scripts/office/，本工具不再维护重复副本。

检查

  • 公式引用和范围正确。
  • 工作表名、列名、数据类型和单位正确。
  • 已显式声明是否有表头，首行、末行和预期数据行数均已核对。
  • 无 #VALUE!、#DIV/0!、#REF!、#NAME?、#NULL!、#NUM!、#N/A。
  • 结果与代码终端输出和论文表格一致。

Frequently asked questions

What does the Excel工具 AI skill do?

读取、创建、修改和验证 XLSX，支持模板保留、公式重算和错误检查。

Why use Excel工具 on TypingMind?

Because you install it once and use it with any model. Excel工具 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 Excel工具 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/XiaoMaColtAI/math-modeling-skill/tree/main/dsh-plugin/math-modeling-agent/skills/math-modeling/tools/xlsx. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Excel工具?

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 Excel工具?

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

Is the Excel工具 AI skill free?

It is published on GitHub by XiaoMaColtAI. 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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