DeepTutor CLI
HKUDS/DeepTutor
Teaches the agent to set up and run DeepTutor from the command line: chat and capabilities, knowledge bases, partners, memory, sessions, notebooks and the server or Web app.
Quantitative and qualitative research methods for education studies
Install Educational Research Methods
$ npx skills add wentorai/research-plugins --skill educational-research-methods -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wentorai/research-plugins educational-research-methods --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/domains/education/educational-research-methods .claude/skills/educational-research-methods && rm -rf skills-srcUse ~/.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/
Install the "educational-research-methods" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/educational-research-methods into .claude/skills/educational-research-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "educational-research-methods", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/educational-research-methodsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add wentorai/research-plugins --skill educational-research-methods -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wentorai/research-plugins educational-research-methods --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/domains/education/educational-research-methods .agents/skills/educational-research-methods && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "educational-research-methods" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/educational-research-methods into .agents/skills/educational-research-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "educational-research-methods", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wentorai/research-plugins --skill educational-research-methods -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wentorai/research-plugins educational-research-methods --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/domains/education/educational-research-methods .cursor/skills/educational-research-methods && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "educational-research-methods" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/educational-research-methods into .cursor/skills/educational-research-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "educational-research-methods", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/wentorai/research-plugins.git --path skills/domains/education/educational-research-methods--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add wentorai/research-plugins --skill educational-research-methods -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wentorai/research-plugins educational-research-methods --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/domains/education/educational-research-methods .gemini/skills/educational-research-methods && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "educational-research-methods" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/educational-research-methods into .gemini/skills/educational-research-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "educational-research-methods", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install wentorai/research-plugins educational-research-methodsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add wentorai/research-plugins --skill educational-research-methods -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/domains/education/educational-research-methods .github/skills/educational-research-methods && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "educational-research-methods" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/educational-research-methods into .github/skills/educational-research-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "educational-research-methods", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wentorai/research-plugins --skill educational-research-methods -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wentorai/research-plugins educational-research-methods --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/domains/education/educational-research-methods .opencode/skills/educational-research-methods && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "educational-research-methods" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/educational-research-methods into .opencode/skills/educational-research-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "educational-research-methods", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
educational-research-methods- GitHub stars
- 298
- Used in
- 1 other repo
- Token cost
- ~1.7k tokens
- SKILL.md length
- 505 words
- Files
- 1
- Skills in repo
- 405
- Repo updated
- First seen
- Licence
- MIT
At a glance
Quantitative and qualitative research methods for education studies
- Works in 5 steps: Begin with rapport-building questions… → Use open-ended prompts: "Tell me… → Prepare follow-up probes for each core… → …
- Education work in your project
- SKILL.md covers Study Design Frameworks, Data Collection Instruments, Analysis Techniques and Reporting Standards, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Educational Research Methods is an agent skill from wentorai/research-plugins. Quantitative and qualitative research methods for education studies
Its SKILL.md is about 1.7k 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 Education. 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
- Education work in your project
Example prompts
- “/educational-research-methods”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Begin with rapport-building questions before moving to core topics
- Use open-ended prompts: "Tell me about..." rather than yes/no questions
- Prepare follow-up probes for each core question
- Pilot the protocol with 2-3 participants and revise
- Plan for 45-60 minute sessions to allow depth without fatigue
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
Educational Research Methods loads about 1.7k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 505 words of instructions outside code blocks.
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). 505 words, ~1,736 tokens.
Download SKILL.mdSave it as
.claude/skills/educational-research-methods/SKILL.md (or your agent's skills folder).- name
- educational-research-methods
- description
- Quantitative and qualitative research methods for education studies
Educational Research Methods
A comprehensive skill for conducting rigorous educational research using both quantitative and qualitative methodologies. Covers study design, data collection instruments, analysis techniques, and reporting standards specific to education scholarship.
Study Design Frameworks
Quantitative Designs
Educational quantitative research typically follows one of these designs:
| Design | Purpose | Example |
|---|---|---|
| Randomized controlled trial (RCT) | Causal inference | Random assignment to instruction methods |
| Quasi-experimental | Causal inference without randomization | Pre-post comparison with matched control |
| Correlational | Relationship exploration | Survey linking self-efficacy to GPA |
| Longitudinal panel | Change over time | Tracking cohort achievement K-12 |
| Cross-sectional survey | Snapshot description | National teacher satisfaction survey |
Qualitative Designs
Common qualitative traditions in education:
- Ethnography: Extended immersion in a classroom or school culture to produce thick description
- Case study: In-depth examination of a bounded system (a program, a school, a student)
- Grounded theory: Iterative coding to build theory from interview and observation data
- Phenomenology: Exploring the lived experience of participants (e.g., first-generation college students)
- Action research: Practitioners systematically studying their own practice to improve it
Mixed Methods
Sequential and concurrent mixed-methods designs are increasingly common in education research:
Sequential Explanatory:
Phase 1: Quantitative survey (n=500) --> identify patterns
Phase 2: Qualitative interviews (n=20) --> explain patterns
Concurrent Triangulation:
QUAN data collection + QUAL data collection (simultaneous)
--> merge and compare findings at interpretation stage
Embedded Design:
Primary: RCT measuring learning outcomes
Secondary: Classroom observations embedded within treatment armData Collection Instruments
Survey and Questionnaire Design
import pandas as pd
from scipy import stats
# Reliability analysis for a Likert-scale instrument
def cronbach_alpha(df: pd.DataFrame) -> float:
"""
Compute Cronbach's alpha for internal consistency reliability.
df: DataFrame where each column is an item, each row a respondent.
Acceptable threshold: alpha >= 0.70 for research purposes.
"""
n_items = df.shape[1]
item_vars = df.var(axis=0, ddof=1)
total_var = df.sum(axis=1).var(ddof=1)
alpha = (n_items / (n_items - 1)) * (1 - item_vars.sum() / total_var)
return round(alpha, 4)
# Example usage with a 6-item motivation scale
data = pd.DataFrame({
'item1': [4, 5, 3, 4, 5, 3, 4, 5],
'item2': [3, 4, 3, 4, 5, 2, 4, 4],
'item3': [4, 5, 4, 5, 4, 3, 5, 5],
'item4': [3, 4, 2, 3, 5, 2, 3, 4],
'item5': [4, 5, 3, 4, 5, 3, 4, 5],
'item6': [3, 4, 3, 4, 4, 3, 4, 4],
})
alpha = cronbach_alpha(data)
print(f"Cronbach's alpha: {alpha}")
# alpha >= 0.70 indicates acceptable internal consistencyObservation Protocols
Structured classroom observation instruments:
- CLASS (Classroom Assessment Scoring System): Measures teacher-student interactions across emotional support, classroom organization, and instructional support
- RTOP (Reformed Teaching Observation Protocol): Evaluates inquiry-based instruction in STEM
- Flanders Interaction Analysis: Codes teacher talk, student talk, and silence in timed intervals
Interview Protocols
Semi-structured interview best practices for educational research:
- Begin with rapport-building questions before moving to core topics
- Use open-ended prompts: "Tell me about..." rather than yes/no questions
- Prepare follow-up probes for each core question
- Pilot the protocol with 2-3 participants and revise
- Plan for 45-60 minute sessions to allow depth without fatigue
Analysis Techniques
Quantitative Analysis for Education Data
import statsmodels.api as sm
from statsmodels.formula.api import mixedlm
# Hierarchical Linear Model (HLM) -- essential for nested
# education data (students within classrooms within schools)
# Example: predicting math achievement from student SES
# and classroom teaching quality
model = mixedlm(
"math_score ~ student_ses + teaching_quality",
data=df,
groups=df["school_id"],
re_formula="~teaching_quality"
)
result = model.fit()
print(result.summary())
# Effect size calculation (Cohen's d)
def cohens_d(group1, group2):
n1, n2 = len(group1), len(group2)
var1, var2 = group1.var(), group2.var()
pooled_std = ((( n1 - 1) * var1 + (n2 - 1) * var2) / (n1 + n2 - 2)) ** 0.5
return (group1.mean() - group2.mean()) / pooled_stdShow full SKILL.md (212 more words)Show less
Qualitative Coding
Thematic analysis workflow (Braun and Clarke, 2006):
- Familiarization: Read transcripts multiple times, take initial notes
- Initial coding: Generate codes systematically across the dataset
- Theme search: Collate codes into candidate themes
- Theme review: Check themes against coded extracts and full dataset
- Theme definition: Refine names and write analytic narrative
- Report: Select vivid, compelling quotes that capture each theme
Tools: NVivo, ATLAS.ti, MAXQDA, or open-source Taguette for coding.
Reporting Standards
APA and AERA Guidelines
Educational research follows the APA Publication Manual (7th edition) and the AERA Standards for Reporting on Empirical Social Science Research:
- Report effect sizes alongside p-values for all statistical tests
- Describe the sample demographics in detail (age, gender, race/ethnicity, SES)
- Discuss both statistical significance and practical significance
- For qualitative work, describe researcher positionality and reflexivity
- Include limitations section addressing threats to validity
Key Journals
- American Educational Research Journal (AERJ)
- Educational Researcher
- Journal of Educational Psychology
- Review of Educational Research
- Teaching and Teacher Education
- International Journal of Educational Research
Ethical Considerations
Educational research involving human subjects (especially minors) requires Institutional Review Board (IRB) approval. Key considerations include informed consent from parents/guardians, assent from minors, data de-identification, and equitable participant selection. The Belmont Report principles (respect for persons, beneficence, justice) guide all education research ethics.
© 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/domains/education/educational-research-methods 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.
Compare with similar skills
Educational Research Methods next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Educational Research Methods this skillwentorai/research-plugins | 298 | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch | 66k | — | ~2k | Automated safety check: Pass | MIT | |
| Deep Reading Analystginobefun/deep-reading-analyst-skill | 353 | 4 repos | ~3.6k | Automated safety check: Pass | MIT | |
| OpenMAIC Setup and ExtensionTHU-MAIC/OpenMAIC | 40k | — | ~1.7k | Automated safety check: Notes | MIT | |
| Codebase to Coursezarazhangrui/codebase-to-course | 5.7k | — | ~4.4k | Automated safety check: Pass | None |
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Related
Categories
Questions about Educational Research Methods
What does Educational Research Methods do?
Quantitative and qualitative research methods for education studies. Educational Research Methods is an agent skill from wentorai/research-plugins.
When should I use Educational Research Methods?
Educational Research Methods fits situations like: education work in your project.
How do I install Educational Research Methods in Claude Code?
Run `npx skills add wentorai/research-plugins --skill educational-research-methods -a claude-code`. Or copy the skill folder (skills/domains/education/educational-research-methods in wentorai/research-plugins) into .claude/skills/educational-research-methods in your project. Claude Code loads it when a task matches its description.
How do I install Educational Research Methods in Codex?
Run `npx skills add wentorai/research-plugins --skill educational-research-methods -a codex`. Or copy the skill folder (skills/domains/education/educational-research-methods in wentorai/research-plugins) into .agents/skills/educational-research-methods in your project. Codex loads it when a task matches its description.
Can I use Educational Research Methods 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 educational-research-methods -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/educational-research-methods, .gemini/skills/educational-research-methods, .github/skills/educational-research-methods and .opencode/skills/educational-research-methods in your project.
What does Educational Research Methods need to run?
SKILL.md names no scripts, command-line tools or credentials: Educational Research Methods is instructions for the agent only. Our summary lists: Python 3.
Does Educational Research Methods 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 Educational Research Methods 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 Educational Research Methods use?
Educational Research Methods 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 Educational Research Methods use?
About 1.7k tokens (SKILL.md is roughly 6.9k 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 Educational Research Methods?
Skills that share tags, products or a category with Educational Research Methods: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 66k stars), Deep Reading Analyst (ginobefun/deep-reading-analyst-skill, 353 stars) and OpenMAIC Setup and Extension (THU-MAIC/OpenMAIC, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Educational Research Methods?
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.