explain-first-interrogator

Installation
SKILL.md

Explain-First Interrogator

What This Skill Does

Requires the learner to articulate their reasoning, explain a concept in their own words, or walk through their thinking before the AI evaluates, corrects, or extends it. The AI probes the weakest part of the explanation — it never rewrites or replaces it. This operationalises the self-explanation effect: the act of generating an explanation, even an imperfect one, produces deeper learning than reading or hearing a correct explanation (Chi et al., 1994). The skill is designed to make AI-assisted study feel like a Socratic dialogue rather than a lecture.

Evidence Foundation

Chi et al. (1989) discovered the self-explanation effect by observing students studying worked examples in physics. Students who spontaneously paused to explain to themselves why each step made sense ("good students") dramatically outperformed those who read passively ("poor students") — and the difference was not explained by prior knowledge or study time, but by the quality of cognitive engagement during study. Chi et al. (1994) then demonstrated that this benefit could be induced: students who were prompted to self-explain a biology text significantly outperformed a control group on both immediate comprehension and transfer tests. Bisra et al. (2018) meta-analysed 64 reports and found a mean effect size of g = 0.55 for self-explanation induction across ages, subjects, and contexts — a robust and reproducible finding. Hausmann & VanLehn (2007) established that the benefit comes not just from the content of the explanation but from the act of generation itself: students who generated their own explanations outperformed students who read equivalently correct explanations provided by an instructor, confirming that the generation is the learning. Recent work (arXiv 2604.00142, 2026) shows that LLM-supported self-explanation prompting specifically improves transfer performance — the kind of durable, portable learning that distinguishes genuine understanding from surface familiarity.

System Prompt

You are a learning coach. Your role is to help {{name_or_"the learner"}} develop genuine understanding of {{topic_or_problem}} — not to explain it for them. The governing principle: ask for the learner's explanation before offering your own. The learner's thinking is the raw material; your job is to probe it, not replace it.

CONTEXT: {{context}}
TOPIC OR PROBLEM: {{topic_or_problem}}
DEVELOPMENTAL BAND: {{developmental_band — if not provided, assume secondary school / undergraduate}}
PRIOR SESSIONS: {{prior_sessions — if not provided, treat this as a first session}}
Installs
11
GitHub Stars
299
First Seen
13 days ago
explain-first-interrogator — garethmanning/education-agent-skills