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Mgmt Paper Tables

Community
HaonanAlex
mgmt-paper-tables

经济学/金融学/管理学研究专用三线表升级版,覆盖 estout (Stata) / modelsummary (R) / stargazer (Python) 三语言联动。涵盖 robust SE / clustered SE / 双向固定效应 / DiD / IV-2SLS / 描述统计 等经管高频表格。支持《经济研究》《管理世界》《Journal of Finance》《Management Science》4 种期刊格式自动切换(显著性符号 / 列对齐 / 字号 / N + R² 标注)。当用户需要导出回归结果到论文、对比多个模型、或按特定期刊格式调整表格时调用本 Skill。

Overview

PublisherHaonanAlex
RepositoryMGMT-Paper-Skills
Skill namemgmt-paper-tables
Stars
130
Forks
18
Bundled files
42
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.

  • 42 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 Tables 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-tables
  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-tables .claude/skills/mgmt-paper-tables
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mgmt Paper Tables 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 Tables 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 Tables 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 - Tables — 经管研究三线表升级版

面向经济学 / 金融学 / 管理学研究者的三线表生成 Skill,覆盖 Stata / R / Python 三语言。

What it does

  • 三语言三线表模板:Stata estout/esttab + R modelsummary/fixest::etable + Python stargazer/linearmodels
  • 覆盖经管高频场景:robust SE / clustered SE (firm/year/firm-year/Driscoll-Kraay/Newey-West) / 双向固定效应 / DiD / IV-2SLS / 描述统计
  • 4 期刊样式自动切换:《经济研究》《管理世界》《Journal of Finance》《Management Science》
  • 多列模型并列(OLS vs FE vs IV vs DiD)对比规范
  • LaTeX(论文用)+ HTML(PPT 用)双格式输出
  • 中文学者高频错误清单(系数 vs SE 同列 / N 漏报 / R² 误读 / FE 漏标 / 显著性符号不一致)

When to invoke

  • 用户跑完回归想把结果导出到论文(Stata / R / Python)
  • 用户要对比多个模型(OLS、FE、IV、DiD)放在同一张表里
  • 用户问"clustered SE 怎么标 / 双向 FE 怎么报告"
  • 用户问"《经济研究》/《管理世界》/ JF / MS 表格格式什么样"
  • 用户要做描述统计表 / 第一阶段 IV / DiD 平行趋势表

Files

mgmt-paper-tables/
├── SKILL.md                                # 本文件
├── references/
│   ├── table-anatomy.md                    # 三线表解剖
│   ├── se-types.md                         # SE 类型大全
│   ├── significance-conventions.md         # 显著性符号 + 期刊偏好
│   ├── journal-formats.md                  # 4 期刊格式详解
│   ├── multi-column-design.md              # 多列设计
│   └── common-mistakes.md                  # 高频错误
├── templates/
│   ├── stata/                              # 7 个 .do 文件
│   ├── r/                                  # 6 个 .R 文件
│   └── python/                             # 5 个 .py 文件
├── tests/                                  # pytest
├── LICENSE / NOTICE / README.md

Quick start

bash
# 1. 看期刊格式
open references/journal-formats.md

# 2. 选最贴近的模板,复制后改
cp templates/stata/multi_model.do      ./tab_main.do      # Stata
cp templates/r/fixest_table.R          ./tab_main.R       # R
cp templates/python/linearmodels_table.py ./tab_main.py   # Python

# 3. 跑出 .tex / .html
stata -b do tab_main.do
Rscript tab_main.R
python tab_main.py

Core principles (TL;DR)

  1. 三线表:top-rule(粗)/ mid-rule(细,header 之下)/ bottom-rule(粗),无竖线、无内部冗余横线
  2. 系数与 SE 同单元格的两行:第一行系数 + 显著性符号;第二行括号中 SE
  3. 必报指标:N(样本量)、R²(OLS)/ within-R²(FE)/ Pseudo-R²(Logit)/ KP-F(IV)/ Hansen-J(GMM)
  4. FE 标注:用 ✓ / Yes 在表底独立行表示;不要写在系数行
  5. 聚类 SE:表注必须明确 "Standard errors clustered at the firm-year level"
  6. 显著性:经管/金融默认 *=10% / **=5% / ***=1%;JF 偏好同款;MS 与 JF 一致;《经济研究》《管理世界》同款
  7. 多列对齐:同一控制变量同列;列宽用 D{.}{.} 对齐小数点
  8. 导出:LaTeX 用 booktabs;HTML 用于 PPT、汇报;不要交 Word 默认表

Anti-patterns

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

  1. 系数和 SE 写在两列 → 应同列上下两行
  2. 报告 N 但不报 R² / 报告 R² 但不报 N
  3. FE 写到表头但没在表底独立行打 ✓
  4. 聚类层级未在表注说明
  5. 多列模型的控制变量集不一致但表里看不出来

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 Tables AI skill do?

经济学/金融学/管理学研究专用三线表升级版,覆盖 estout (Stata) / modelsummary (R) / stargazer (Python) 三语言联动。涵盖 robust SE / clustered SE / 双向固定效应 / DiD / IV-2SLS / 描述统计 等经管高频表格。支持《经济研究》《管理世界》《Journal of Finance》《Management Science》4 种期刊格式自动切换(显著性符号 / 列对齐 / 字号 / N + R² 标注)。当用户需要导出回归结果到论文、对比多个模型、或按特定期刊格式调整表格时调用本 Skill。

Why use Mgmt Paper Tables on TypingMind?

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

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

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 Tables?

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

Is the Mgmt Paper Tables 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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