Agent skill

Grounded Theory Guide

by wentorai in wentorai/research-plugins

Apply grounded theory methodology to develop theory from data

MITAuto-check passedResearch & Science

Install Grounded Theory Guide

skills CLI
$ npx skills add wentorai/research-plugins --skill grounded-theory-guide -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install wentorai/research-plugins grounded-theory-guide --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research/methodology/grounded-theory-guide .claude/skills/grounded-theory-guide && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
grounded-theory-guide
GitHub stars
298
Used in
1 other repo
Token cost
~1.8k tokens
SKILL.md length
292 words
Files
1
Skills in repo
405
Repo updated
First seen
Licence
MIT

At a glance

Apply grounded theory methodology to develop theory from data

  • Research & Science work in your project
  • SKILL.md covers Three Schools of Grounded Theory, The Coding Process, Theoretical Sampling and Memo Writing, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Grounded Theory Guide is an agent skill from wentorai/research-plugins. Apply grounded theory methodology to develop theory from data

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.

When your agent uses it

  • Research & Science work in your project

Example prompts

  • “/grounded-theory-guide”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit bf44b3c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Grounded Theory Guide loads about 1.8k tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 292 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~21
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 292 words, ~1,808 tokens.

Download SKILL.mdSave it as .claude/skills/grounded-theory-guide/SKILL.md (or your agent's skills folder).
name
grounded-theory-guide
description
Apply grounded theory methodology to develop theory from data

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
AspectClassic (Glaser)Straussian (Strauss & Corbin)Constructivist (Charmaz)
OntologyObjective realityPragmatistRelativist/constructivist
Literature reviewDelay until theory emergesEarly but non-constrainingEarly, reflexive engagement
Coding paradigmOpen, selective, theoreticalOpen, axial, selectiveInitial, focused, theoretical
VerificationEmergent fitSystematic validationCo-construction with participants
Core outputSubstantive theoryProcess modelInterpretive theory
Key textGlaser (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
CriterionDescriptionHow to Demonstrate
FitTheory fits the data it was derived fromShow clear evidence trail from data to codes to categories
RelevanceTheory addresses a real concern of participantsMember checking, resonance with practitioners
WorkabilityTheory explains the process and enables predictionApply the theory to new cases
ModifiabilityTheory can be updated with new dataShow how the theory evolved during the study
CredibilityAnalysis is thorough and systematicAudit 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.

© wentorai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/research/methodology/grounded-theory-guide of wentorai/research-plugins.

Open the folder on GitHubat commit bf44b3c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.

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Questions about Grounded Theory Guide

What does Grounded Theory Guide do?

Apply grounded theory methodology to develop theory from data. Grounded Theory Guide is an agent skill from wentorai/research-plugins.

When should I use Grounded Theory Guide?

Grounded Theory Guide fits situations like: research & Science work in your project.

How do I install Grounded Theory Guide in Claude Code?

Run `npx skills add wentorai/research-plugins --skill grounded-theory-guide -a claude-code`. Or copy the skill folder (skills/research/methodology/grounded-theory-guide in wentorai/research-plugins) into .claude/skills/grounded-theory-guide in your project. Claude Code loads it when a task matches its description.

How do I install Grounded Theory Guide in Codex?

Run `npx skills add wentorai/research-plugins --skill grounded-theory-guide -a codex`. Or copy the skill folder (skills/research/methodology/grounded-theory-guide in wentorai/research-plugins) into .agents/skills/grounded-theory-guide in your project. Codex loads it when a task matches its description.

Can I use Grounded Theory Guide in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wentorai/research-plugins --skill grounded-theory-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/grounded-theory-guide, .gemini/skills/grounded-theory-guide, .github/skills/grounded-theory-guide and .opencode/skills/grounded-theory-guide in your project.

What does Grounded Theory Guide need to run?

SKILL.md names no scripts, command-line tools or credentials: Grounded Theory Guide is instructions for the agent only. Our summary lists: Python 3.

Does Grounded Theory Guide access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Grounded Theory Guide safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Grounded Theory Guide use?

Grounded Theory Guide is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Grounded Theory Guide use?

About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Grounded Theory Guide?

Skills that share tags, products or a category with Grounded Theory Guide: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Grounded Theory Guide?

wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.

Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.