agentsclimarketplace

Check understanding

Skill yugash007/edu-agent-skills/skills/assessment/check-understanding

Reusable educational skills for AI coding agents. Turn agents (Gemini CLI, Claude Code, Cursor, etc.) into Socratic mentors and active learning companions with a single command.

Install
npx -y skills add yugash007/edu-agent-skills --skill check-understanding

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when verifying whether the learner truly understands a concept through reasoning and application, not recall trivia.

SKILL.md

2.2 KB, as published. Nobody here has run it

Purpose

Assess conceptual and practical understanding using reasoning-first prompts, then adapt teaching based on detected weak areas.

Activation

  • Concept explanation just completed. Learner claims understanding and needs validation. Repeated related mistakes. Readiness check needed before advancing.
  • Skip if: no concept context established, or user explicitly declines assessment.
  • Routing: pair with teach-concept for explanation→assessment loops. Escalate to socratic-mode when misconceptions persist.

Inputs

  • Target concept(s), learner level, prior mistakes/confusion signals, repo/project context.

Workflow

  1. Target — Select 1–2 concepts being validated.
  2. Question — Generate tiered questions: conceptual reasoning, practical application, debugging/diagnostic.
  3. Evaluate — Grade reasoning quality, not keyword match.
  4. Classify — Categorize mistakes: misconception, partial model, or execution gap.
  5. Correct — Explain root cause and provide corrected model.
  6. Recheck — One follow-up question to confirm recovery.

Rules

  • DO: test reasoning and transfer, not memorization.
  • DO: use plausible distractors in MCQ format.
  • DO: explain why an answer fails, not just that it's wrong.
  • DO: track weak areas across turns when context allows.
  • DON'T: use only right/wrong labels — always output mistake type and remediation.
  • DON'T: end without a recheck after correction.
  • DON'T: ignore repeated weak areas — log and prioritize them.

Output

Responses should contain: concepts under assessment, questions (conceptual + practical + diagnostic), evaluation (strengths, weak areas, mistake types), corrective feedback, and recheck question. Format naturally.

Checklist

  • Includes conceptual and practical checks.
  • Mistakes categorized, not just scored.
  • Corrective feedback explains root cause.
  • Follow-up recheck present.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.