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Write lecture notes in Markdown (400-900 words) with Intro/Concept/Example/Pitfalls/Recap structure and cross-references to slides. Use when turning class beats into a study-ready note.md document. Triggered by the note-writer agent.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Final build step — render all Marp slides, validate SSML, synthesize the course manifest, and package bundle.zip. Use when coherence review has passed and the course is ready for deployment. Triggered by the asset-builder agent.
Orchestrate end-to-end online course generation from a topic. Invoke when user asks to "create a course", "design a curriculum", "build online lectures", "강의 만들어", "코스 설계", "커리큘럼 짜", "섹션별 퀴즈 포함 강의", "TTS 스크립트 강의", or any request to produce structured learning material with slides + notes + scripts + quizzes. Also invoke for follow-ups — "재실행", "섹션만 다시", "업데이트", "이전 결과 개선", "코스 수정". Do NOT invoke for single-artifact requests (just a slide, just a quiz) — those should call the specific authoring skill directly.
Synthesize TTS audio from course transcripts with pluggable engines (OpenAI gpt-4o-mini-tts default, edge-tts fallback). Use when turning a class transcript.txt into per-slide MP3s plus a concatenated full.mp3, handling [slide N] / [pause:ms] markers, retries, and per-slide speaker_affect overlays. Triggered after coherence-review passes and before/within asset-build, or as a standalone step. Also invoke for "오디오 생성", "TTS 합성", "강의 음성 만들어", "voice 변경", "speed 조정".
Write TTS-ready transcripts with [slide N] cues, [pause:ms] markers, and optional SSML. Convert raw code/URLs/long numbers to speakable forms. Use when turning slides+beats into a narrator script. Triggered by the script-writer agent.
Author slide decks in Marp Markdown and render to HTML. Use when turning class beats into 4-7 slides per class, applying Marp frontmatter/layout rules, preventing overflow, or rendering via the marp CLI. Triggered by the slide-author agent.
Cross-artifact QA for the course pipeline. Verify LO coverage, Bloom balance, slide↔script cue alignment, note↔slide consistency, tone, quiz factual validity, and transcript speakability. Use when reviewing generated course assets before build. Triggered by the coherence-reviewer agent.
| name | note-writing |
| description | Write lecture notes in Markdown (400-900 words) with Intro/Concept/Example/Pitfalls/Recap structure and cross-references to slides. Use when turning class beats into a study-ready note.md document. Triggered by the note-writer agent. |
note는 학습자가 정독하는 본문이다. slide는 요약, transcript는 듣기용, note는 눈으로 깊이 읽는 매체로 차별화한다.
# {class title}
> **LOs:** LO-X.Y, LO-X.Z
> **예상 읽기 시간:** N분
## Intro
학습자가 왜 이 내용을 알아야 하는지, 실세계 맥락.
## Concept
정의 → 속성/하위요소 → 왜 중요한가의 3단 구조.
## Example
구체적 코드 or 사례 (최소 1개).
## Pitfalls
흔한 오해 1~2개. 단순히 정답 반복 금지.
## Recap
3가지 핵심을 bullet로 재정리.
| 섹션 | 비중 | 한국어 글자 수 (총 1200자 기준) |
|---|---|---|
| Intro | 10% | 120자 |
| Concept | 40% | 480자 |
| Example | 30% | 360자 |
| Pitfalls | 15% | 180자 |
| Recap | 5% | 60자 |
영어면 400900 단어, 한국어면 8001600자.
[slide 3] — 실제 존재하는 슬라이드 번호만[S2.C1] — section.class 형태예:
## Concept
서버 컴포넌트는 [slide 2]에서 본 것처럼 서버에서만 실행됩니다.
이 개념은 [S1.C2]에서 다룬 SSR과 다릅니다.
###)~~~lang 블록| tone | 문체 | 어휘 |
|---|---|---|
| friendly | 2인칭 "여러분", 단문, 가벼운 비유 OK | 일상어 섞음 |
| formal | 3인칭/수동태 혼용, 장문 가능 | 용어 엄격 |
| socratic | 질문형 문장으로 개념 유도 | 결론 지연 |