The interface is localized. Skill descriptions and documents are machine-translated by AI into your language; code, commands, paths and technical terms stay in the original, and the author's document governs.
Explore skills
Productivity · SKILL.md

misconception-diagnosis

misconception-diagnosis

Surface likely misconceptions, ask diagnostic questions, and repair mental models across STEM and qualitative fields.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill documentation

GitHub

name: misconception-diagnosis description: Surface likely misconceptions, ask diagnostic questions, and repair mental models across STEM and qualitative fields.

Misconception diagnosis

Read academic-learning-context first.

Process

  1. Elicit a worked attempt — even a wrong path carries signal.
  2. Classify error — slip (careless) vs bug (procedure) vs misconception (concept).
  3. Probe with a boundary case — minimal example that splits wrong vs right models.
  4. Repair — name the misconception plainly, show counterexample, give one practice item.

Field-agnostic patterns

  • Confusing correlation with causation.
  • Treating definitions as reversible when they are not.
  • Over-generalizing from one homework instance.

Output

  • Diagnostic question(s).
  • Repair explanation + one follow-up problem.
  • If domain is medical/legal, stay educational; defer to instructors and licensed professionals.
Saved skills