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Acr Workflow

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franklee16
acr-workflow

Use when deciding which acr-* sub-skill to invoke next, or when sequencing manuscript work from fit positioning through rebuttal for 《会计研究》 (Accounting Research). Routes — does not replace — the specialized skills.

Overview

Publisherfranklee16
Repositoryacademic-research-skills
Skill nameacr-workflow
Stars
225
Forks
34
Bundled files
Instructions only
Links
Skill sourceRepository
  • 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 Workflow 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-workflow
  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-workflow .claude/skills/acr-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Acr Workflow 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 Workflow 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 Workflow 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.

《会计研究》工作流（acr-workflow）

总览

这是路由器，不替代任何专用 skill。它告诉你当前阶段该用哪个 acr-* skill。

默认假设：目标是国内会计学第一刊《会计研究》（财政部主管、中国会计学会主办，月刊，CSSCI 唯一会计刊、NSFC 管理科学 A 类）。衡量标准是会计议题的实证贡献 + 准确的制度/准则细节 + 信息机制，而非金融定价机理或纯方法复杂度。基础事实见 resources/journal-profile.md。

触发时机

  • 用户问"这篇能不能投《会计研究》/ 下一步做什么"
  • 拿不准落点是会计议题还是公司金融机理
  • 有上市公司面板数据但讲不出"会计信息/披露/准则"故事
  • 收到 R&R 外审意见需要回复

路由表

当前症状下一个 Skill
不确定是会计议题还是金融机理、对不对口acr-fit-positioning
选题像"X 影响 Y"的一般效应，缺会计学贡献acr-topic-selection
文献只堆近年实证、没进会计脉络acr-literature-review
制度背景/准则条款/执行时点写得含糊acr-institutional-standards
会计度量直接用现成指标、没交代构造acr-measurement
实证只有 OLS、识别不过关acr-identification
有主结果但没机制、或机制写成定价渠道acr-mechanism
缺稳健性 / 度量与制度控制不足acr-robustness
表格列数过多 / 没解读经济量级acr-tables-figures
文末贡献只有"丰富文献"、缺准则/监管启示acr-implications
准备投稿，需要体例与系统 checklistacr-submission
收到 R&R，需要写回复acr-rebuttal

默认顺序

  1. acr-fit-positioning — 先判断是会计议题还是金融机理，别把金融稿硬投会计刊
  2. acr-topic-selection — 立会计学贡献与中国制度情境
  3. acr-literature-review — 进入会计脉络对话（盈余质量/审计/披露）
  4. acr-institutional-standards — 把准则/监管背景写准（条款、时点）
  5. acr-measurement — 透明构造会计度量
  6. acr-identification — 准则/监管外生变更优先的识别
  7. acr-mechanism — 信息机制（降低不对称/提高披露/约束盈余管理）
  8. acr-robustness — 替换度量、控制治理/制度变量、安慰剂
  9. acr-tables-figures — 主表/主图 + 经济量级解读
  10. acr-implications — 准则/监管/实务启示
  11. acr-submission — 投稿前 preflight（页下注、著者—出版年制、线上系统）
  12. acr-rebuttal — 外审后

决策口诀

  • "落点在会计信息/审计/披露/准则" → 本刊对口，进 acr-topic-selection
  • "落点在融资/投资/股价定价机理" → 改投《金融研究》（先过 acr-fit-positioning）
  • "盈余管理只用一个代理变量" → acr-measurement + acr-robustness
  • "制度背景说不清准则哪条、何时实施" → acr-institutional-standards
  • "机制写成'提高了股价信息含量'但没说披露/盈余渠道" → acr-mechanism

与本仓库其它期刊包的差异

  • 偏融资/投资/定价机理：转 journal-of-financial-research（金融机理）
  • 偏公司治理的管理学理论 / 案例：转 nankai-business-review（治理偏管理理论）
  • 偏干净因果 + 经济学理论：转 economic-research
  • 偏税收/产业政策的宏观或产业效应：转 china-industrial-economics
  • 《会计研究》要的是会计信息生产与披露 + 准则制度细节 + 信息机制

反模式

  • 不要跳过 acr-fit-positioning 就动笔——它最常救稿（避免把金融稿投错门）
  • 不要在度量未交代构造时去抠表格与文风
  • 不要让 acr-rebuttal 在正文未修订前生成回复

输出格式

【当前阶段】<识别>
【下一个 Skill】acr-...
【落点确认】会计议题 / 金融机理（若后者→改投）
【缺口】[度量 / 识别 / 机制 / 制度背景 ...]

Frequently asked questions

What does the Acr Workflow AI skill do?

Use when deciding which acr-* sub-skill to invoke next, or when sequencing manuscript work from fit positioning through rebuttal for 《会计研究》 (Accounting Research). Routes — does not replace — the specialized skills.

Why use Acr Workflow on TypingMind?

Because you install it once and use it with any model. Acr Workflow 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 Workflow 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-workflow. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Acr Workflow?

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 Workflow?

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

Is the Acr Workflow 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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