grounded-theory-guide
Apply grounded theory methodology to develop theory from data
Best use case
grounded-theory-guide is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Apply grounded theory methodology to develop theory from data
Teams using grounded-theory-guide should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/grounded-theory-guide/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How grounded-theory-guide Compares
| Feature / Agent | grounded-theory-guide | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Apply grounded theory methodology to develop theory from data
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Grounded Theory Guide
A skill for applying grounded theory methodology (GTM) to generate theory grounded in empirical data. Covers the three major schools (Glaser, Strauss/Corbin, Charmaz), coding procedures, theoretical sampling, memo writing, and criteria for evaluating grounded theories.
## Three Schools of Grounded Theory
### Comparing Approaches
| Aspect | Classic (Glaser) | Straussian (Strauss & Corbin) | Constructivist (Charmaz) |
|--------|-----------------|------------------------------|-------------------------|
| Ontology | Objective reality | Pragmatist | Relativist/constructivist |
| Literature review | Delay until theory emerges | Early but non-constraining | Early, reflexive engagement |
| Coding paradigm | Open, selective, theoretical | Open, axial, selective | Initial, focused, theoretical |
| Verification | Emergent fit | Systematic validation | Co-construction with participants |
| Core output | Substantive theory | Process model | Interpretive theory |
| Key text | Glaser (1978) | Strauss & Corbin (1998) | Charmaz (2014) |
### Choosing an Approach
```
Use Classic GTM when:
- You want the theory to emerge with minimal preconception
- You are studying a process in a substantive area
Use Straussian GTM when:
- You need a structured, systematic coding procedure
- Your discipline values replicable analytical steps
Use Constructivist GTM when:
- You acknowledge the researcher's role in co-creating meaning
- You study experiences, identities, or social processes
- You work in health, education, or social science
```
## The Coding Process
### Three-Stage Coding
```python
def grounded_theory_coding_stages() -> dict:
"""
Describe the three stages of grounded theory coding.
"""
return {
"stage_1_initial_coding": {
"also_called": "Open coding",
"description": (
"Examine data line by line or incident by incident. "
"Generate codes that stay close to the data. "
"Use gerunds (action words ending in -ing) to capture processes."
),
"example": {
"data": "I started looking for help online because the doctor "
"did not explain anything to me.",
"codes": [
"Seeking information online",
"Experiencing communication gap with provider",
"Taking initiative in own care"
]
},
"tips": [
"Code quickly -- do not overthink individual codes",
"Stay open; do not force data into preexisting categories",
"Code actions and processes, not topics",
"Write memos about ideas that arise during coding"
]
},
"stage_2_focused_coding": {
"also_called": "Axial coding (Strauss) or Focused coding (Charmaz)",
"description": (
"Select the most frequent and significant initial codes. "
"Use them to sort and synthesize larger amounts of data. "
"Identify relationships between categories."
),
"tasks": [
"Elevate initial codes to categories",
"Identify properties and dimensions of each category",
"Compare categories across cases",
"Begin developing a conceptual framework"
]
},
"stage_3_theoretical_coding": {
"also_called": "Selective coding",
"description": (
"Identify the core category that integrates all other "
"categories into a coherent theoretical framework. "
"Specify relationships between categories."
),
"output": "A substantive theory explaining the phenomenon"
}
}
```
## Theoretical Sampling
### Sampling Driven by Emerging Theory
```
Traditional sampling: Decide sample before data collection
Theoretical sampling: Let the emerging theory guide who/what to sample next
Process:
1. Collect initial data (purposive sampling)
2. Analyze data, identify emerging categories
3. Ask: "Where should I look next to develop these categories?"
4. Sample deliberately to fill gaps in the emerging theory
5. Continue until theoretical saturation
Example:
Initial interviews: Patients with chronic illness
Emerging category: "Navigating insurance barriers"
Next sample: Interview insurance navigators and social workers
Emerging category: "Stigma in seeking help"
Next sample: Interview patients who avoided seeking help
```
## Memo Writing
### The Engine of Grounded Theory
Memos are the researcher's running commentary on codes, categories, and theoretical ideas. They are the primary mechanism for developing theory.
```
Memo types:
- Code memos: Define and elaborate a code or category
- Theoretical memos: Explore relationships between categories
- Operational memos: Record methodological decisions
- Reflexive memos: Examine researcher influence on the analysis
Memo example:
MEMO: "Becoming an expert patient" (2026-03-05)
Several participants describe a transition from passive
recipient of care to active manager of their condition.
This process seems to involve three phases: (1) initial
confusion and dependence, (2) information seeking and
experimentation, (3) confident self-management. The trigger
appears to be a critical incident (a misdiagnosis, a bad
interaction with a provider) that motivates the person to
take control. Compare with Corbin & Strauss's trajectory
framework. Need to sample someone early in the trajectory
to test whether the trigger is consistent.
```
## Evaluating Grounded Theory
### Quality Criteria
| Criterion | Description | How to Demonstrate |
|-----------|------------|-------------------|
| Fit | Theory fits the data it was derived from | Show clear evidence trail from data to codes to categories |
| Relevance | Theory addresses a real concern of participants | Member checking, resonance with practitioners |
| Workability | Theory explains the process and enables prediction | Apply the theory to new cases |
| Modifiability | Theory can be updated with new data | Show how the theory evolved during the study |
| Credibility | Analysis is thorough and systematic | Audit trail, reflexive memos, theoretical saturation |
## Reporting a Grounded Theory Study
Include: a clear description of the coding process and how categories were derived, a diagram or model of the theory, representative quotes for each major category, an explanation of theoretical sampling decisions, and a discussion of how the theory relates to existing literature. Use the SRQR (Standards for Reporting Qualitative Research) checklist to ensure completeness.Related Skills
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