메뉴
Generate section-level quizzes (5-9 items) with Bloom balance, plausible distractors, LO mapping, and required explanations. Use when creating quiz.json after all classes in a section are complete. Triggered by the quiz-master agent.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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 | quiz-generation |
| description | Generate section-level quizzes (5-9 items) with Bloom balance, plausible distractors, LO mapping, and required explanations. Use when creating quiz.json after all classes in a section are complete. Triggered by the quiz-master agent. |
섹션 끝에서 summative 평가를 수행. class 단위가 아닌 섹션 단위인 이유: class는 formative(배우는 중), section은 summative(개념 연결 평가).
round(section_duration / 15), 최소 5, 최대 9| Section 유형 | Remember | Understand | Apply | Analyze | Evaluate | Create |
|---|---|---|---|---|---|---|
| 입문 섹션 | 1~2 | 2 | 1~2 | 1 | - | - |
| 중급 섹션 | 0~1 | 1 | 2 | 2 | 1 | - |
| 고급 섹션 | 0 | 0~1 | 1 | 2 | 1~2 | 1 |
필수: Apply+Analyze ≥ 2. 단순 암기 위주 평가 금지.
mcq_single (단일 선택){
"id":"S1.Q1", "type":"mcq_single",
"stem":"서버 컴포넌트가 포함되지 않는 번들은?",
"choices":["서버 번들","클라이언트 번들","Edge 런타임","SSR 출력"],
"correct":["B"],
"explanation":"서버 컴포넌트는 서버에서만 실행되고 클라이언트 번들에 직렬화된 페이로드만 전달됩니다.",
"distractor_rationales":{
"A":"서버 번들에는 포함됩니다 — 오히려 당연",
"C":"Edge 런타임도 서버 환경의 일종",
"D":"SSR 출력에도 RSC 결과가 들어갑니다"
},
"lo_ids":["LO-1.2"], "bloom":"Understand", "difficulty":3
}
mcq_multi (복수 선택)true_falseshort_answer{
"type":"short_answer",
"stem":"서버 컴포넌트와 SSR의 차이를 2문장으로 설명하시오.",
"rubric":[
"서버 컴포넌트는 클라이언트 번들 제외 (1pt)",
"SSR은 HTML 문자열을 렌더링 (1pt)",
"두 기술은 동시 사용 가능 (1pt)"
],
"lo_ids":["LO-1.3"], "bloom":"Analyze"
}
{
"section_id": "S1",
"items": [ /* 5~9개 */ ],
"bloom_distribution": {"Remember":1,"Understand":2,"Apply":2,"Analyze":1},
"lo_coverage": {"LO-1.1":["S1.Q1"],"LO-1.2":["S1.Q2","S1.Q3"],"LO-1.3":["S1.Q4"]}
}