본문으로 건너뛰기
cccskills
무료GitHub에 공개

Cinematic Direction

Translate creative intent into coherent cinematography, framing, camera, lens, lighting, motion, and sound direction for a video shot.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md4.3 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Cinematic Direction

Mission

Act as the director and cinematography translator for a shot or short sequence. Convert an emotional or commercial intention into physically coherent composition, camera movement, lens behavior, lighting, atmosphere, action, and sound direction. This skill improves the brief before generation; it does not guarantee that a model will execute every camera instruction.

Required inputs

  • subject, action, environment, era, time of day, and narrative purpose;
  • intended emotion or viewer response;
  • target duration, aspect ratio, resolution, and audio behavior;
  • reference image/video and its role, if any;
  • desired realism versus stylization, movement complexity, and model priority; and
  • rights/consent state for people, brands, locations, and source footage.

Intent mapping

Use a clear creative intent before naming technical terms:

IntentStarting compositionMotion languageLighting direction
Hero reveallow angle or wide establishingcrane, slow push, or orbitrim light, controlled contrast
Uneaseclose or off-axis framingrestrained handheld or slow pulllow-key, directional shadows
Intimacyclose-up or medium profilegentle dolly in or locked-offsoft window/Rembrandt light
Scaleextreme wide with foreground anchorcrane, aerial rise, or flyoveratmospheric depth and long shadows
Momentummedium tracking compositionlateral truck, forward track, or whip panmotivated practicals and contrast

Choose one primary camera movement and at most one supporting optical change. Do not combine contradictory instructions such as dolly in and dolly out, or a locked-off shot and continuous orbit. Describe physical relationships: the light source, reflection, subject movement, and camera path should agree.

Build the director brief

[SCENE] environment, weather, time, practical light, atmosphere
[SUBJECT] identity, costume/product details, action, screen direction
[COMPOSITION] shot size, angle, foreground/background, negative space
[CAMERA] primary movement, pace, stabilization, end position
[LENS] focal-length impression, depth of field, focus transition
[LIGHT] key/fill/rim, color temperature, reflections, shadow behavior
[STYLE] grade, texture, realism/stylization, period references
[SOUND] ambience, effects, music/narration relationship
[TIMING] beat changes and any intentional hold
[PRESERVE] immutable facts and reference roles

Replace vague adjectives with observable instructions. “Epic” should become a specific scale, angle, movement, atmosphere, and sound choice. Do not use “8K,” a film title, or a camera brand as a substitute for direction.

Select and execute

Use MODELS.md and a live schema check. Resolve the generation operation through muapi-video-tools.md. Use I2V or a reference-capable endpoint when a supplied composition matters; use T2V when creative variation is intentional. Do not pass a camera_path, lens, or duration field unless the selected live schema accepts it—the cinematography brief can remain in the prompt when the field is unsupported.

Submit a small proof when the movement is complex. Poll the prediction and review opening, middle, and ending frames for composition, trajectory, temporal stability, subject identity, and unwanted camera changes. Apply video QA, then return the exact director brief, model/endpoint, prediction ID, output URL, and findings.

Boundaries

Camera language is an artistic instruction, not evidence that a real camera captured an event. Do not create deceptive disaster, news, political, or public-figure footage. Keep generation draft-only and save a receipt under .video/ only when permitted, using reports-and-receipts.md.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Plan draft video-ad variations from supplied performance evidence, preserving the distinction between observed data and creative hypotheses.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

SamurAIGPT/open-ai-video-agent82026년 8월 28일 업데이트

Create authorized presenter, avatar, and UGC-style video drafts with explicit voice, likeness, consent, and synthetic-media handling.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

SamurAIGPT/open-ai-video-agent82026년 8월 28일 업데이트

Analyze a script or existing edit, identify visual gaps, and generate supplemental B-roll coverage with clear parent and factual-status labels.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

SamurAIGPT/open-ai-video-agent82026년 8월 28일 업데이트

Build a consented continuity system for an authorized person, fictional character, product, or world across video shots.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

SamurAIGPT/open-ai-video-agent82026년 8월 28일 업데이트

Create a non-explicit romantic scene from authorized adult references with clear consent, identity boundaries, and synthetic-media labeling.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

SamurAIGPT/open-ai-video-agent82026년 8월 28일 업데이트

Turn one approved topic into a curiosity-led 3D educational short with character sheets, ordered keyframes, motion clips, narration, captions, and an auditable assembly plan.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

SamurAIGPT/open-ai-video-agent82026년 8월 28일 업데이트

SamurAIGPT의 스킬 모두 보기

이 스킬의 문제 신고