Education Research — 7 Skills

SkillDatabases & data

7 education research skills. Trigger: pedagogical research, course design, learning analytics, assessment. Design: evidence-based teaching methods and educational measurement tools.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

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Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Education Research skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/43-wentorai-research-plugins/skills/domains/education/SKILL.md and read by ahel’s review.

Select the skill matching the user's need, then read its SKILL.md.

Skill	Description
academic-study-methods	Evidence-based study techniques for academic learning and retention
assessment-design-guide	Psychometrics and educational assessment design for researchers
curriculum-design-guide	Systematic approaches to curriculum design using backward design and alignment
educational-research-methods	Quantitative and qualitative research methods for education studies
learning-science-guide	Evidence-based learning science principles for educational research and practice
mooc-analytics-guide	Analyzing MOOC data, learning analytics, and online education metrics
open-syllabus-api	Analyze most-taught books and texts via Open Syllabus analytics

Signals

GitHub stars: 4k
Forks: 531
Last commit: Sep 2026

ahel review

K2info
exfiltration (in open-syllabus-api/SKILL.md)

Automated review, not a security audit. Ruleset v1+k2.

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Item type: skill
Key: education-skills
Source: github.com/brycewang-stanford/auto-empirical-research-skills

github.com/brycewang-stanford/auto-empirical-research-skills

Education Research — 7 Skills

What this skill tells your AI

Signals

ahel review

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