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grad-grounded-theory研究生扎根理论

Agent Skill

grad-grounded-theory 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

424

周安装

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124

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:grad-grounded-theory(研究生扎根理论)
来源仓库:https://github.com/asgard-ai-platform/skills
仓库路径:skills/grad-grounded-theory
安装命令:
npx skills add https://github.com/asgard-ai-platform/skills --skill grad-grounded-theory
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

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复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/asgard-ai-platform/skills --skill grad-grounded-theory

简介

grad-grounded-theory 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于定性研究、扎根理论构建或学术写作中的文献支持。
  • 通过 npx skills add 命令从 GitHub 仓库安装,具体用法可参考原始 README。
  • 安装前需确认权限范围和维护状态,注意是否触发联网或文件读写操作。
  • 建议结合来源仓库进一步核验功能细节和使用边界。

SKILL.md

Grounded Theory (Glaser & Strauss)

Overview

Grounded Theory is a systematic methodology for constructing theory that is grounded in qualitative data. Through iterative cycles of data collection, coding, and comparison, the researcher develops concepts and categories that ultimately form an explanatory theory. The method was originally developed by Glaser and Strauss (1967) and later diverged into Glaserian (emergent) and Straussian (structured) variants.

When to Use

  • Building new theory when existing theories are inadequate or absent
  • Exploring processes, interactions, or experiences in under-studied domains
  • Generating substantive theory tied to a specific context
  • When the research question asks "what is going on here?" rather than testing a hypothesis

When NOT to Use

  • When testing or verifying an existing theory (use deductive methods)
  • When the research question requires measurement of frequency or magnitude
  • When the researcher cannot commit to iterative data collection (theoretical sampling requires flexibility)

Assumptions

IRON LAW: In grounded theory, theory EMERGES from data — imposing a
pre-existing framework violates the methodology's core principle. If
you begin with a hypothesis and seek confirmation, you are NOT doing
grounded theory.

Key assumptions:

  1. Theory must be grounded in systematic data collection and analysis
  2. Data collection and analysis occur simultaneously and iteratively
  3. Theoretical sampling guides where to collect data next based on emerging categories
  4. Theoretical saturation — not sample size — determines when to stop collecting data

Methodology

Step 1: Open Coding

Break data into discrete incidents, events, or ideas. Assign initial codes (labels) to each segment. Use in-vivo codes (participants' own words) where possible. Generate as many codes as the data warrant — do not filter prematurely.

Step 2: Axial Coding

Group open codes into higher-order categories. Identify relationships between categories using the coding paradigm: conditions, actions/interactions, and consequences. Build subcategories that specify when, where, why, and how a category manifests.

Step 3: Selective Coding

Identify the core category — the central phenomenon around which all other categories integrate. Systematically relate all categories to the core category. Write a storyline that narrates the theory.

Step 4: Theoretical Integration

Refine the theory through constant comparison. Validate against the data. Produce a substantive theory with defined concepts, propositions, and boundary conditions. Report the audit trail of coding decisions.

Output Format

## Grounded Theory Analysis: [Context]

### Core Category
- Central phenomenon: [the core category label]
- Definition: [what it means in this context]

### Category Structure
| Category | Properties | Dimensions | Relationship to Core |
|----------|-----------|------------|---------------------|
| [name]   | [key properties] | [range/variation] | [how it relates] |

### Coding Paradigm
- **Causal conditions**: [what leads to the phenomenon]
- **Context**: [specific conditions shaping action]
- **Intervening conditions**: [broader structural conditions]
- **Action/Interaction strategies**: [how actors respond]
- **Consequences**: [outcomes of action/interaction]

### Theoretical Propositions
1. [Proposition linking categories]
2. [Proposition linking categories]

### Saturation Evidence
- Categories saturated: [list]
- Data sources: [count and type]
- Point of saturation: [when no new properties emerged]

Gotchas

  • Do NOT begin with a literature review that biases your coding — Glaser insists on delaying the lit review until the theory emerges
  • Constant comparison means comparing incident-to-incident, not just category-to-category
  • Theoretical sampling is NOT the same as purposive sampling — it is driven by emerging theory, not pre-set criteria
  • The Glaserian and Straussian variants differ significantly; state which approach you follow
  • Theoretical saturation means no new PROPERTIES of a category emerge — not just no new codes
  • Memo-writing throughout the process is essential, not optional — memos capture the analytical logic

References

  • Glaser, B. G., & Strauss, A. L. (1967). *The Discovery of Grounded Theory: Strategies for Qualitative Research*. Aldine.
  • Strauss, A. L., & Corbin, J. (1990). *Basics of Qualitative Research: Grounded Theory Procedures and Techniques*. Sage.
  • Charmaz, K. (2006). *Constructing Grounded Theory: A Practical Guide Through Qualitative Analysis*. Sage.

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