Acr Fit Positioning logo

Acr Fit Positioning

Community
franklee16
acr-fit-positioning

Use to judge whether a manuscript's landing point is an ACCOUNTING issue (accounting information / disclosure / audit / standards) versus a corporate-finance mechanism, before drafting for 《会计研究》 (Accounting Research). Re-routes finance-mechanism papers to a finance journal.

Overview

Publisherfranklee16
Repositoryacademic-research-skills
Skill nameacr-fit-positioning
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 Fit Positioning 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-fit-positioning
  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-fit-positioning .claude/skills/acr-fit-positioning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Acr Fit Positioning 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 Fit Positioning 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 Fit Positioning 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 vs 金融定位判断(acr-fit-positioning)

触发时机

  • 拿不准稿子是会计议题还是公司金融议题
  • 用上市公司数据跑了回归,但落点说不清是"会计信息"还是"定价/融资"
  • 治理题,不确定该往会计信息环境还是管理学理论靠
  • 投稿前最后确认对不对口(本刊是 CSSCI 唯一会计刊,定位极清晰)

核心判据:落点在哪一端?

《会计研究》的稿子,因变量或机制核心必须落在会计信息的生产、披露与鉴证这一端。判断标准是问"这篇真正在解释/改变的是什么"。

维度会计议题(本刊对口)金融机理(改投金融研究)
因变量核心盈余质量、应计、稳健性、可比性、披露质量、审计意见/费用、内控缺陷股票收益、融资成本/约束、投资水平、杠杆、并购溢价
机制语言信息不对称↓、披露↑、盈余管理↓、鉴证质量↑资本配置、风险定价、代理成本(融资侧)、流动性
制度抓手会计准则、审计准则、信息披露监管、内控规范货币/信贷政策、资本市场制度、税制(宏观)
贡献落点准则制定者、监管者、审计实务投资者、融资者、市场设计

经验法则:**因变量是"会计/审计/披露的产出"**→ 对口;因变量是"价格/资金/投资"而会计只是中介→ 偏金融。后者若仍想投本刊,须把因变量换成会计信息变量、把信息机制做成主线。

对照表(边界案例如何归类)

案例归类理由
新租赁准则对盈余波动/资产负债表的影响会计落点是会计计量与报表
关键审计事项披露对审计费用/意见的影响会计落点是鉴证产出
数字化转型对信息披露质量的影响会计因变量是披露质量
数字化转型对融资约束的影响金融因变量是融资侧
分析师跟踪对股价同步性的影响偏金融落点是定价信息环境,需改造为披露/盈余渠道才对口
高管薪酬对盈余管理的影响会计因变量是盈余管理
ESG 评级对股价崩盘风险的影响偏金融崩盘风险是定价侧;若改为 ESG 信息披露质量则对口

自检清单

  • 主因变量是会计/审计/披露产出,而非价格/资金/投资
  • 核心机制用信息语言(不对称/披露/盈余/鉴证),而非定价/配置
  • 制度抓手是会计准则/审计准则/披露监管/内控规范
  • 贡献能落到准则制定者、监管者或审计实务
  • 若以上多为"金融",已决定改投或改造主线

反模式

  • 把"X 影响融资约束/投资/股价"硬贴一段会计背景就当会计稿
  • 因变量是定价指标,却声称机制是"会计信息质量"而不直接测信息变量
  • 治理稿不落到会计信息环境,写成纯管理学理论(应转南开管理评论)

输出格式

【落点】会计议题 / 金融机理 / 边界(需改造)
【主因变量】<是否会计/审计/披露产出>
【机制语言】信息(不对称/披露/盈余/鉴证)/ 定价配置
【判定】对口 / 改投<金融研究 / 南开管理评论 / 中国工业经济>
【改造建议】<若边界:换因变量 / 主线换信息机制>
【下一步】acr-topic-selection(对口)/ 改投

Frequently asked questions

What does the Acr Fit Positioning AI skill do?

Use to judge whether a manuscript's landing point is an ACCOUNTING issue (accounting information / disclosure / audit / standards) versus a corporate-finance mechanism, before drafting for 《会计研究》 (Accounting Research). Re-routes finance-mechanism papers to a finance journal.

Why use Acr Fit Positioning on TypingMind?

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

Which AI models can use Acr Fit Positioning?

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 Fit Positioning?

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

Is the Acr Fit Positioning 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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