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Acr Tables Figures

Community
franklee16
acr-tables-figures

Use when finalizing tables and figures for a 《会计研究》 (Accounting Research) manuscript — keeping the main table lean, reporting coefficients with the right precision, and interpreting economic magnitude (not just significance stars) for accounting measures. Use after robustness is settled.

Overview

Publisherfranklee16
Repositoryacademic-research-skills
Skill nameacr-tables-figures
Stars
225
Forks
34
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

    Published by franklee16 on GitHub. Read the source before you install it.

Installation

Install the Acr Tables 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/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Accounting-Research-Skills/skills/acr-tables-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/franklee16/academic-research-skills.git /tmp/academic-research-skills
mkdir -p .claude/skills
cp -r /tmp/academic-research-skills/Awesome-Journal-Skills-main/Accounting-Research-Skills/skills/acr-tables-figures .claude/skills/acr-tables-figures
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Acr Tables 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 Acr Tables 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 Acr Tables 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.

表格与经济意义(acr-tables-figures)

触发时机

  • 主表列数过多、变量定义不清、读者抓不住主结果
  • 只报系数与星号,不解读经济量级
  • 事件研究/平行趋势图未画或不规范
  • 审稿人问"这个系数在会计意义上有多大"

经济意义优先于显著性

会计实证最常见的弱点是只看星号。本刊审稿人会问:这个效应换算成会计量级有多大、是否经济上重要。每个主结果都要做一句经济量级解读。

经济量级解读模板(按度量)

度量解读句式
可操纵性应计(DA)"处理使
会计稳健性(C-Score)"稳健性提升 X,约为基准期的 Y%"
披露指数"披露得分上升 X 分(满分 N),相当于从 Q1 升至 Q2"
审计费用(对数)"费用上升约 X%(系数 × 100,对数因变量)"
实际税率/BTD"ETR 下降 X 个百分点,相当于税负减少 Y%"

对数因变量、虚拟变量交互项、非线性项要正确换算,勿把回归系数直接当百分比/水平。

主表规范

  • 主表聚焦核心假设,通常不超过 6–8 列;扩展结果入附表
  • 报告:系数、括号内(标准误或 t/z 值,注明哪种)、显著性标记、N、R²/拟合统计、固定效应行、聚类层次
  • 变量定义单独成表(名称、口径、数据来源),与度量构造一致
  • 数字精度一致(系数小数位、百分比口径统一)

图规范

  • 事件研究/平行趋势图:横轴相对处理期、纵轴系数与置信区间,处理前应近似为零
  • 必要时用图替代冗长交互表(如分批 DID 的动态效应)
  • 图须自明:坐标轴、置信水平、样本说明齐全

自检清单

  • 主表 ≤ 6–8 列,扩展入附表
  • 每个主结果有经济量级解读句
  • 对数/交互/虚拟变量换算正确
  • 标准误类型、聚类层次、固定效应在表内注明
  • 变量定义表与度量构造一致
  • 平行趋势/事件研究图规范、处理前近零

反模式

  • 主表 12 列把所有稳健性塞进去
  • 只说"显著为负",不给经济量级
  • 对数因变量系数当成绝对水平解读
  • 表注缺标准误类型/聚类层次/固定效应
  • 平行趋势仅文字声称,无图

输出格式

【主表列数】X(是否精简)
【经济量级】<每个主结果一句换算>
【换算正确性】对数□ 交互□ 虚拟□
【表注完整】标准误类型□ 聚类□ 固定效应□ N/R²□
【图】平行趋势/事件研究 规范□ 处理前近零□
【下一步】acr-implications

Frequently asked questions

What does the Acr Tables Figures AI skill do?

Use when finalizing tables and figures for a 《会计研究》 (Accounting Research) manuscript — keeping the main table lean, reporting coefficients with the right precision, and interpreting economic magnitude (not just significance stars) for accounting measures. Use after robustness is settled.

Why use Acr Tables Figures on TypingMind?

Because you install it once and use it with any model. Acr Tables 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 Acr Tables Figures in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Accounting-Research-Skills/skills/acr-tables-figures. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Acr Tables 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 Acr Tables Figures?

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

Is the Acr Tables Figures AI skill free?

It is published on GitHub by franklee16. 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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