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Mgmt Paper Mixed Methods

Community
HaonanAlex
mgmt-paper-mixed-methods

面向管理学、组织研究、战略、创业、营销、信息系统和社会科学的混合方法研究 Skill。覆盖探索型顺序设计、解释型顺序设计、并行汇聚设计、嵌入式设计、定性发现转量化假设、量化结果回到机制解释、joint display、方法整合段落、顶刊审稿风险与论文 story 打磨。当用户需要连接访谈/案例与问卷/实验/档案数据,或设计 mixed-methods paper 时调用。

Overview

PublisherHaonanAlex
RepositoryMGMT-Paper-Skills
Skill namemgmt-paper-mixed-methods
Stars
130
Forks
18
Bundled files
4
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.

  • 4 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 Mixed Methods 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-mixed-methods
  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-mixed-methods .claude/skills/mgmt-paper-mixed-methods
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mgmt Paper Mixed Methods 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 Mixed Methods 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 Mixed Methods 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 - Mixed Methods — 混合方法研究 Skill

核心原则

混合方法不是“定性加一点访谈、定量加几张回归表”。它要求两个证据系统在同一个理论问题下相互约束、相互解释,并清楚说明整合发生在研究设计、数据收集、分析还是写作阶段。

适用场景

  • 用访谈或案例发现新机制,再转化为可检验假设。
  • 用问卷、实验或档案数据发现稳健关系,再回到访谈解释机制。
  • 定性结果与定量结果部分一致、部分冲突,需要形成 joint display。
  • 管理学顶刊论文需要把 idea → story → paper 连接得更可信。

工作流

  1. 读取 references/mixed-methods-workflow.md。
  2. 判断设计类型。
    • 探索型顺序:QUAL → quant。
    • 解释型顺序:QUAN → qual。
    • 并行汇聚:QUAL + QUAN → integrated inference。
    • 嵌入式:主研究内嵌辅助方法。
  3. 生成整合矩阵。
    • 定性构念、代表性证据、量化变量、假设、模型、预期符号。
    • 主效应、机制、边界条件、替代解释。
  4. 生成 story spine。
    • 现象张力。
    • 理论缺口。
    • 机制命名。
    • 证据路线。
    • 贡献边界。
  5. 审稿前检查。
    • 两套证据是否回答同一个问题。
    • 定性是否只是装饰。
    • 定量是否过度声称因果。
    • joint display 是否真的产生整合推断。

模板

  • templates/joint_display.csv
  • templates/idea_to_story_to_paper.md

输出

返回:

  1. 推荐的混合方法设计。
  2. 定性发现到量化假设的映射。
  3. 量化结果回到机制解释的写作方案。
  4. joint display 表格。
  5. idea → story → paper 结构。
  6. 审稿人可能质疑点和补强建议。

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 Mixed Methods AI skill do?

面向管理学、组织研究、战略、创业、营销、信息系统和社会科学的混合方法研究 Skill。覆盖探索型顺序设计、解释型顺序设计、并行汇聚设计、嵌入式设计、定性发现转量化假设、量化结果回到机制解释、joint display、方法整合段落、顶刊审稿风险与论文 story 打磨。当用户需要连接访谈/案例与问卷/实验/档案数据,或设计 mixed-methods paper 时调用。

Why use Mgmt Paper Mixed Methods on TypingMind?

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

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

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 Mixed Methods?

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

Is the Mgmt Paper Mixed Methods 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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