Use when reviewing UI for accessibility — WCAG 2.2 AA, keyboard nav, focus, ARIA, contrast, screen-reader semantics — even on 'is this a11y-OK?' or 'mach das barrierefrei'.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the user wants to learn a topic or verify real understanding — rapid-competence session, error drills, learning sprint, gap probe, Feynman check. Triggers 'teach me X', 'quiz me'.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Structured tutoring modes for learning WITH the agent instead of consuming explanations FROM it. The default agent behavior on "teach me X" is a prose lecture — pedagogically the weakest format. This skill replaces the lecture with six evidence-shaped modes: triage what to learn, practice before theory, withhold answers until the learner has tried, verify understanding with probes the learner cannot bluff through.
Use this skill when the user:
Do NOT use when:
direct-answers); don't convert a question into a curriculum.learning-to-rule-or-skill, a different skill.adversarial-review
or /challenge-me, not knowledge tutoring.## Output format) on every reply so a
resumed session continues instead of restarting.| User intent | Mode |
|---|---|
| "Get me functional in X fast", no deadline given | 1 · Rapid competence |
| "Let me practice X", "drill me", concept with known pitfalls | 2 · Error-driven drill |
| Pasted content + "I don't understand this" | 3 · Keystone decoding |
| Concrete goal + deadline + current level | 4 · Goal-backward sprint |
| "Do I really know X?", "find my gaps" | 5 · Gap probe |
| "I just learned X — check my understanding" | 6 · Feynman check |
Frame: one time-boxed session (default 4 focused hours unless the user names a budget), never met again — every minute must transfer skill. No theory block without an immediate practical use.
Frame: do not explain the concept. Put the learner into a realistic scenario where it must be applied and where a typical beginner makes a concrete mistake.
Frame: the user supplied content (doc, text, code, spec) that doesn't click.
Frame: the user has a specific outcome, a time frame and a current level. The plan targets the OUTCOME, not the subject in general.
Frame: the user believes they already know the subject. Job: prove otherwise.
Frame: the user explains the freshly learned topic as if the agent were a 10-year-old. The agent listens and interrupts.
Every tutoring reply carries a compact header so the learner always knows where they are:
learning-tutor · mode <n> — <mode name>
Target: <skill/topic/goal>
Progress: <step or day k/N · attempts used · questions passed x/y>
Next: <what the learner does next>
Required fields (ordered):
direct-answers
Iron Law 1 already forbids it).ask-when-uncertain).learning-to-rule-or-skill — converting session learnings into package
artifacts (the other direction: agent learns, not user).adversarial-review / /challenge-me — stress-testing a plan or artifact
rather than a person's understanding.sequential-thinking — structured reasoning for the agent itself.direct-answers — the brevity/no-flattery floor the probe modes rely on.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Use when reviewing UI for accessibility — WCAG 2.2 AA, keyboard nav, focus, ARIA, contrast, screen-reader semantics — even on 'is this a11y-OK?' or 'mach das barrierefrei'.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when defining or auditing the activation event — aha-moment selection, retention correlation, falsifiable definition. Triggers on 'what is our aha moment', 'redefine activation'.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when capturing an architectural decision — file naming, next ADR number, Status / Context / Decision / Consequences, index regen; fires even without saying 'ADR'.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Adversarial critique — devil's advocate, stress-test, honest teardown ('poke holes', 'be brutal', 'was hältst du davon'); explicit request only. Routine code or design review → code-review.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when reading, creating, or updating agent documentation, module docs, roadmaps, or AGENTS.md. Understands the full .augment/, agents/, and copilot-instructions structure.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use for an adversarial red-team / blue-team / auditor review of an AI agent's CONFIG + behaviour (rules, skills, MCP, hooks, permissions) — attack-chain → defensive-gap list, not a code audit.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.