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Mgmt Paper Qualitative

Community
HaonanAlex
mgmt-paper-qualitative

面向管理学、组织研究、战略、创业、信息系统和社会科学的定性/质性研究 Skill。覆盖研究问题判断、案例选择、访谈提纲、田野笔记、扎根理论、Gioia 方法、主题分析、过程研究、跨案例比较、编码本、证据链、NVivo/MAXQDA/ATLAS.ti 工作流、质性结果写作和审稿风险。当用户需要设计、执行、编码或写作定性研究时调用。

Overview

PublisherHaonanAlex
RepositoryMGMT-Paper-Skills
Skill namemgmt-paper-qualitative
Stars
130
Forks
18
Bundled files
9
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.

  • 9 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 Qualitative 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-qualitative
  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-qualitative .claude/skills/mgmt-paper-qualitative
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mgmt Paper Qualitative 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 Qualitative 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 Qualitative 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 - Qualitative — 定性研究与质性分析 Skill

核心原则

定性研究不是“访谈若干人然后摘几句话”。它需要清楚的理论问题、样本选择逻辑、资料来源、编码过程、证据链和可审查的理论建构。

适用场景

  • 管理学案例研究。
  • 组织变革过程研究。
  • 创业、战略、IS、OB 的访谈研究。
  • Gioia 方法和数据结构图。
  • 扎根理论开放/主轴/选择性编码。
  • 主题分析和跨案例比较。
  • NVivo、MAXQDA、ATLAS.ti 项目规划。

工作流

  1. 先判断问题类型。
    • How/why 过程问题适合定性或混合方法。
    • 新现象、新机制、新构念适合探索性定性研究。
    • 成熟假设验证不应伪装成定性理论建构。
  2. 读取 references/qualitative-workflow.md。
  3. 产出研究设计。
    • 案例选择逻辑。
    • 访谈对象和抽样策略。
    • 访谈提纲。
    • 资料来源和三角验证。
  4. 产出分析框架。
    • 编码本。
    • 一阶概念、二阶主题、聚合维度。
    • 证据表。
    • 负例和替代解释。
  5. 产出写作材料。
    • 方法段落。
    • 数据结构图。
    • 代表性引文表。
    • 过程模型或机制图。
    • 审稿风险清单。

软件工作流

  • NVivo/MAXQDA/ATLAS.ti:适合访谈、文档、备忘录、编码查询。
  • Python:适合文本预处理、元数据整理、代码本版本化、引文抽样。
  • Excel/CSV:适合轻量编码矩阵和证据表。

软件导入导出

  • 若用户从 NVivo/MAXQDA/ATLAS.ti 导出 CSV,先用 scripts/clean_caqdas_export.py 统一列名。
  • 标准输出列为 source, participant, code, excerpt, memo。
  • 再基于清洗后的 CSV 生成证据表、Gioia 数据结构和结果段落。

输出

返回:

  1. 定性研究设计是否匹配问题。
  2. 案例/样本选择逻辑。
  3. 访谈提纲或资料收集计划。
  4. 编码方案和代码本。
  5. Gioia/主题/过程模型输出模板。
  6. 软件落地步骤。
  7. 顶刊审稿风险和补强建议。

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 Qualitative AI skill do?

面向管理学、组织研究、战略、创业、信息系统和社会科学的定性/质性研究 Skill。覆盖研究问题判断、案例选择、访谈提纲、田野笔记、扎根理论、Gioia 方法、主题分析、过程研究、跨案例比较、编码本、证据链、NVivo/MAXQDA/ATLAS.ti 工作流、质性结果写作和审稿风险。当用户需要设计、执行、编码或写作定性研究时调用。

Why use Mgmt Paper Qualitative on TypingMind?

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

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

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 Qualitative?

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

Is the Mgmt Paper Qualitative 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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