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Mgmt Paper Reviewer Simulation

Community
HaonanAlex
mgmt-paper-reviewer-simulation

面向管理学顶级期刊的严格审稿模拟 Skill。按目标期刊和研究类型模拟 editor、theory reviewer、methods reviewer、empirical reviewer、qualitative reviewer、managerial relevance reviewer 和 skeptical reviewer,生成拒稿风险、major revision 路线、可执行补强清单和 response strategy。当用户需要投稿前预审、顶刊严审、R&R 策略、审稿意见拆解或模拟 AMJ/ASQ/SMJ/Organization Science/MISQ/Management Science 等期刊审稿人时调用。

Overview

PublisherHaonanAlex
RepositoryMGMT-Paper-Skills
Skill namemgmt-paper-reviewer-simulation
Stars
130
Forks
18
Bundled files
6
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.

  • 6 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 Reviewer Simulation 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-reviewer-simulation
  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-reviewer-simulation .claude/skills/mgmt-paper-reviewer-simulation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mgmt Paper Reviewer Simulation 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 Reviewer Simulation 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 Reviewer Simulation 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 - Reviewer Simulation — 顶刊审稿模拟

适用场景

用于投稿前或 R&R 前进行高压预审。它不做鼓励式点评,而是模拟严苛顶刊审稿人,从理论、方法、证据、贡献、机制、期刊 fit 和写作透明度上寻找最可能导致拒稿的问题。

审稿角色

读取 references/reviewer-roles.md 后,根据论文类型选择 3-6 个角色:

  • Handling Editor:是否值得送审或继续 revise。
  • Theory Reviewer:理论张力、构念定义、贡献边界。
  • Methods Reviewer:识别、研究设计、测量、内生性、稳健性。
  • Empirical Reviewer:数据、模型、表图、可复现性。
  • Qualitative Reviewer:案例选择、编码、证据链、Gioia 或过程逻辑。
  • Managerial Relevance Reviewer:管理含义是否具体、有约束、非空泛。
  • Skeptical Reviewer:最苛刻地寻找“没有新意/证据不足/过度声称”。

期刊校准

读取 references/journal-review-profiles.md。不要声称知道某期刊最新编辑政策,除非用户提供最新指南或要求联网核查。稳定校准包括:

  • AMJ:理论贡献、管理现象、机制、边界条件。
  • ASQ:组织理论深度、解释力、定性/过程证据严谨性。
  • SMJ:战略理论、竞争优势、识别与机制。
  • Organization Science:理论机制、方法多样性、组织现象解释。
  • MISQ:IS 理论、技术/组织交互、设计与实证严谨性。
  • Management Science:模型、识别、实证严谨性和跨领域贡献。

工作流

  1. 输入诊断

    • 明确目标期刊、研究类型、稿件阶段、核心贡献、主方法、主要结果。
    • 如果缺少稿件全文,要求至少提供摘要、引言、理论、方法、主表和讨论。
  2. 独立审稿

    • 每个 reviewer 先独立输出 3-5 个 major concerns。
    • 每条 concern 必须包含:严重度、依据、可能后果、补强方案。
  3. 编辑决策模拟

    • 读取 templates/reviewer_report.md。
    • 给出 desk reject / reject after review / major revision / minor revision / conditional accept 的模拟判断。
    • 判断必须克制,不能为了迎合用户而虚高。
  4. 修订路线

    • 按阻塞程度排序:kill issues、major issues、polish issues。
    • 生成“先做什么、后做什么、哪些可并行”的修订计划。
  5. 三轮复查

    • Round 1:贡献与理论。
    • Round 2:方法与证据。
    • Round 3:写作、表图、投稿 package。

输出

返回:

  1. Simulated Editorial Decision。
  2. Reviewer Panel Reports。
  3. Fatal Risks。
  4. Major Revision Plan。
  5. Evidence and Analysis Requests。
  6. Response Strategy。
  7. Final Pre-Submission Gate。

与其他 Skills 协同

  • 用 mgmt-paper-project-management 把 reviewer concerns 转成任务。
  • 用 mgmt-paper-manuscript-package 生成预审 package。
  • 用 mgmt-paper-style-benchmark 做语言与结构修订。
  • 用 mgmt-paper-causal-methods、mgmt-paper-qualitative、mgmt-paper-mixed-methods 处理方法问题。

边界

模拟审稿不是实际同行评议。不得伪造真实审稿人意见、真实期刊反馈或编辑承诺。对于最新投稿政策和格式,优先使用用户提供的官方指南或联网核查官方页面。

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 Reviewer Simulation AI skill do?

面向管理学顶级期刊的严格审稿模拟 Skill。按目标期刊和研究类型模拟 editor、theory reviewer、methods reviewer、empirical reviewer、qualitative reviewer、managerial relevance reviewer 和 skeptical reviewer,生成拒稿风险、major revision 路线、可执行补强清单和 response strategy。当用户需要投稿前预审、顶刊严审、R&R 策略、审稿意见拆解或模拟 AMJ/ASQ/SMJ/Organization Science/MISQ/Management Science 等期刊审稿人时调用。

Why use Mgmt Paper Reviewer Simulation on TypingMind?

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

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

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 Reviewer Simulation?

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

Is the Mgmt Paper Reviewer Simulation 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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