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Mgmt Paper Publication Figures

Community
HaonanAlex
mgmt-paper-publication-figures

面向中文学术期刊(《经济研究》《管理世界》《会计研究》《心理学报》等)的配图规范与 matplotlib 模板集。覆盖三线表、宋体字号、黑白可读 / 色盲友好调色板、7 类常用图(折线 / 柱状 / 散点 / 箱线 / 系数 / 热图 / 直方)+ LaTeX booktabs 表格。当用户绘制学术图表、检查配图是否符合中文期刊规范、或导出 PDF 投稿时调用本 Skill。

Overview

PublisherHaonanAlex
RepositoryMGMT-Paper-Skills
Skill namemgmt-paper-publication-figures
Stars
130
Forks
18
Bundled files
18
LicenseApache-2.0
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.

  • 18 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Mgmt Paper Publication Figures 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/HaonanAlex/MGMT-Paper-Skills/tree/main/mgmt-paper-publication-figures
  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/HaonanAlex/MGMT-Paper-Skills.git /tmp/MGMT-Paper-Skills
mkdir -p .claude/skills
cp -r /tmp/MGMT-Paper-Skills/mgmt-paper-publication-figures .claude/skills/mgmt-paper-publication-figures
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mgmt Paper Publication Figures 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 Mgmt Paper Publication Figures 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 Mgmt Paper Publication Figures 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.

MGMT - Paper - Publication Figures — 中文期刊配图规范 + matplotlib 模板

本 Skill 为面向中文核心期刊(《经济研究》《管理世界》《会计研究》《心理学报》《中国工业经济》《金融研究》等)投稿的作者提供配图与表格规范与可直接复用的 matplotlib 模板。

What it does

  • 给出中文期刊配图规范全集(字体 / 字号 / 颜色 / 线宽 / 图注 / 比例)
  • 三线表(top-rule / middle-rule / bottom-rule)规范 + LaTeX booktabs 与 Word 双方案
  • 黑白可读 + 色盲友好调色板(BlackWhite / DarkGrey / DotPattern)
  • 7 类常用图模板(折线 / 柱状 / 散点 / 箱线 / 系数 / 热图 / 直方),每个都是 self-contained 可直接 python xxx.py 跑出 PDF
  • 国内学者高频错误清单(用 Helvetica / 配色花哨 / 线太细 / 标签英文 / 双纵轴乱用)

When to invoke

  • 用户准备给中文 C 刊投稿,需要绘图
  • 用户已有图但不确定是否符合中文期刊规范
  • 用户在 LaTeX 中写三线表
  • 用户问"宋体怎么显示在 matplotlib 里"
  • 用户问"DiD/IV 系数图怎么画"

Files

mgmt-paper-publication-figures/
├── SKILL.md                                # 本文件
├── references/
│   ├── chinese-journal-conventions.md      # 配图规范全集
│   ├── three-line-table.md                 # 三线表规范
│   ├── colorblind-bw.md                    # 黑白 / 色盲调色板
│   ├── figure-types.md                     # 7 类图各自规范
│   └── common-mistakes.md                  # 高频错误
├── templates/
│   ├── matplotlibrc                        # rc 默认配置
│   ├── line_chart.py                       # 折线图
│   ├── bar_chart.py                        # 柱状图
│   ├── coefficient_plot.py                 # 系数图(DiD/IV)
│   ├── scatter_with_fit.py                 # 散点+拟合
│   ├── box_plot.py                         # 箱线图
│   ├── heatmap.py                          # 热图
│   └── three_line_table_latex.tex          # LaTeX booktabs 三线表
├── tests/                                  # pytest 测试
├── LICENSE                                 # Apache-2.0
├── NOTICE
└── README.md

Quick start

bash
# 1. 看规范
open references/chinese-journal-conventions.md

# 2. 复制 rc 配置到工作目录
cp templates/matplotlibrc ./matplotlibrc

# 3. 复制最相近的模板再改
cp templates/coefficient_plot.py ./my_did_figure.py
python my_did_figure.py        # 跑出 my_did_figure.pdf

# 4. 三线表用 LaTeX
cp templates/three_line_table_latex.tex ./tab_main.tex

Core principles (TL;DR)

  1. 字体:正文宋体(SimSun / Songti SC / Source Han Serif SC),数字与英文 Times New Roman;坐标轴标签字号 9–10pt,刻度 8–9pt
  2. 图宽:单栏 ≤ 8.5cm,双栏 ≤ 17cm,整体不超过版心宽度的 80%
  3. 黑白可读:永远用 marker + linestyle 区分序列,不要只靠颜色
  4. 三线表:只有 top-rule / middle-rule (header 之下) / bottom-rule 三条横线,无竖线、无内部横线
  5. 图注 / 表注:中文,置于图下 / 表下;"注:……" 开头;数据来源单列一行
  6. 导出:PDF 矢量格式,300 DPI;不要交 PNG / JPG

Anti-patterns

详见 references/common-mistakes.md。最高频的 5 条:

  1. 用 matplotlib 默认 tab:blue / tab:orange 配色 → 黑白打印糊成一团
  2. 中文字体没设好,图里一堆方块 → 审稿人会直接打回
  3. 双纵轴 (twinx) 比例尺没对齐,制造视觉欺骗
  4. 表格画了竖线和很多横线(来自 Excel 默认) → 不是三线表
  5. 字号设成 12pt 默认 → 缩到版面后糊成一片

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 Mgmt Paper Publication Figures AI skill do?

面向中文学术期刊(《经济研究》《管理世界》《会计研究》《心理学报》等)的配图规范与 matplotlib 模板集。覆盖三线表、宋体字号、黑白可读 / 色盲友好调色板、7 类常用图(折线 / 柱状 / 散点 / 箱线 / 系数 / 热图 / 直方)+ LaTeX booktabs 表格。当用户绘制学术图表、检查配图是否符合中文期刊规范、或导出 PDF 投稿时调用本 Skill。

Why use Mgmt Paper Publication Figures on TypingMind?

Because you install it once and use it with any model. Mgmt Paper Publication Figures 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 Mgmt Paper Publication Figures in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HaonanAlex/MGMT-Paper-Skills/tree/main/mgmt-paper-publication-figures. 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 Mgmt Paper Publication Figures?

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 Mgmt Paper Publication Figures?

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

Is the Mgmt Paper Publication Figures AI skill free?

Yes. It is published on GitHub by HaonanAlex under the Apache-2.0 license. 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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