Mgmt Paper Charts

Community

HaonanAlex

mgmt-paper-charts

经济学/金融学/管理学研究专用图表模板集，覆盖 12 种经管高频图表（系数图 / 事件研究 / Bin scatter / 边际效应 / 政策门槛响应 / 处理组地图 / Sankey 资金流 / 董事网络 / 政策事件时间序列 / 层次聚类热图 / 元分析森林图 / 多回归对比表），各 × Stata / R / Python 三语言模板。支持《经济研究》《管理世界》《Journal of Finance》《Management Science》4 种期刊样式切换。当用户需要绘制经管学术图表、对比多回归、做事件研究可视化、画政策评估处理组分布、或绘制金融网络时调用本 Skill。

Overview

Publisher	HaonanAlex
Repository	`MGMT-Paper-Skills`
Skill name	`mgmt-paper-charts`
Stars	130
Forks	18
Bundled files	31
License	Apache-2.0
Links	Skill source Repository

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.
31 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 Charts AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/HaonanAlex/MGMT-Paper-Skills/tree/main/mgmt-paper-charts
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.

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-charts .claude/skills/mgmt-paper-charts

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mgmt Paper Charts 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 Charts 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 Charts 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 - Charts — 经管研究专用图表模板集

本 Skill 为经济学、金融学、管理学领域的研究者提供 12 类高频图表 × Stata / R / Python 三语言模板，并支持 4 种期刊样式（《经济研究》《管理世界》《Journal of Finance》《Management Science》）切换。

What it does

覆盖经管研究 12 种高频图：系数对比 / 事件研究 / Bin scatter / 边际效应 / 政策门槛响应 / 处理组地图 / Sankey 资金流 / 董事会网络 / 政策事件时间序列 / 层次聚类热图 / 元分析森林图 / 多回归对比表
同一张图三种语言均给出可独立运行的最小模板
4 种期刊样式参数（字体 / 字号 / 颜色 / 线宽 / 图说位置）
经管色板（B&W / 政策类 / 金融类）
经管学者常犯错清单（双纵轴乱用 / 标签英文 / 颜色花哨 / 坐标轴零点等）
Stata / R / Python 三语言互转 + 选用建议

When to invoke

用户绘制经管学术图表（DiD 事件研究 / 多回归对比 / 政策处理组地图）
用户问"经济研究 / 管理世界系数图怎么画"
用户做政策评估，需要可视化处理组空间分布
用户绘制金融网络（董事兼任 / 上市公司互联）
用户做元分析，需要森林图
用户在 Stata / R / Python 之间切换图表代码

Files


mgmt-paper-charts/
├── SKILL.md
├── references/
│   ├── chart-types-overview.md           # 12 类图表概览 + 适用论文章节
│   ├── journal-styles.md                 # 4 期刊样式
│   ├── color-palettes.md                 # 经管色板
│   ├── workflow-stata-r-python.md        # 三语言互转 + 何时用哪个
│   └── common-mistakes.md                # 经管学者常犯错
├── templates/
│   ├── stata/                            # 6 个 .do 模板
│   ├── r/                                # 7 个 .R 模板
│   └── python/                           # 8 个 .py 模板
├── tests/
├── LICENSE
├── NOTICE
└── README.md

Quick start

bash
# 1. 看 12 类图概览，定位你要的图
open references/chart-types-overview.md

# 2. 看目标期刊样式
open references/journal-styles.md

# 3. 选语言 + 模板
cp templates/python/event_study.py ./my_event_study.py
python my_event_study.py     # 输出 my_event_study.pdf

# Stata
cp templates/stata/eventdd.do ./my_event.do
stata -b do my_event.do

# R
cp templates/r/event_study.R ./my_event.R
Rscript my_event.R

12 chart types

#	图表	适用章节	Stata	R	Python
1	系数对比图	主回归 / 异质性	coefplot.do	coefplot.R	coefplot.py
2	事件研究	DiD 主图	eventdd.do	event_study.R	event_study.py
3	Bin scatter	描述性 / RDD	binscatter.do	bin_scatter.R	bin_scatter.py
4	边际效应	交互项 / 非线性	margins_plot.do	marginal_effects.R	—
5	政策门槛响应	RDD / Bunching	bunching.do	—	—
6	处理组地图	政策评估	—	treatment_map_china.R	treatment_map.py
7	Sankey 资金流	资金 / 股权流向	—	—	sankey.py
8	董事网络	公司治理	—	network_boards.R	network_directors.py
9	政策事件时间序列	描述性 / 事件	—	—	time_series_policy_events.py
10	层次聚类热图	相关性 / 因子	—	—	heatmap_clustered.py
11	元分析森林图	综述	—	forest_plot.R	—
12	多回归对比表	主回归表	multiple_regs_table.do	—	—

Core principles (TL;DR)

三语言定位：Stata 适合主回归 + 系数图（一行 coefplot）；R 适合事件研究 + 网络 + 地图（fixest / igraph / sf）；Python 适合多面板组合 + 复杂可视化（matplotlib / geopandas / plotly）
期刊优先级：先看 journal-styles.md，确定字体 / 字号 / 颜色，再写图
黑白可读：marker + linestyle 区分序列；color-palettes.md 给出 4 种 B&W 友好方案
导出：PDF 矢量 + 300 DPI；中文字体回退链 Times New Roman → SimSun → Songti SC
经管特化：DiD 基期空心圆；事件研究 t = -1 归零；coefplot 横向更易读

Anti-patterns

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

多回归用 outreg2 出个表就完事，不画系数图（审稿人会问"你能不能给我一张图"）
事件研究图基期没归零、没画零参考线
处理组地图忘了说明"白色 = 控制组 / 灰色 = 处理组"
Sankey 资金流图节点过多（>20 个），完全无法阅读
双纵轴用不同颜色再连线，制造视觉欺骗

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 Charts AI skill do?

Why use Mgmt Paper Charts on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HaonanAlex/MGMT-Paper-Skills/tree/main/mgmt-paper-charts. 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 Charts?

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 Charts?

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

Is the Mgmt Paper Charts 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

MGMT - Paper - Charts — 经管研究专用图表模板集

What it does

When to invoke

Files

Quick start

12 chart types

Core principles (TL;DR)

Anti-patterns

Bundled files

Frequently asked questions

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