미디어 스킬

We need to translate the given English text into Korean. The text describes a CLI tool called runcomfy-cli. The instruction says to preserve the name "runcomfy-cli" but only if it appears in the source text. The source text mentions "runcomfy" and "runcomfy CLI" but not "runcomfy-cli" exactly. However, the directory item type is "agent skill" and the name to preserve is "runcomfy-cli". The instruction says "Do not include the name unless it appears in the source text." The source text has "runcomfy" and "runcomfy CLI", not "runcomfy-cli". So we should not add "runcomfy-cli" if it's not there. But the instruction says "Name to preserve: runcomfy-cli" - that might mean we should keep that name if it appears, but it doesn't. So we just translate the text as is. We need to translate the description accurately, preserving product names, protocol names, URLs, numbers, technical

We need to translate the given English text into Korean. The text describes a CLI tool called runcomfy-cli. The instruction says to preserve the name "runcomfy-cli" but only if it appears in the source text. The source text mentions "runcomfy CLI" (lowercase) and "runcomfy" but not "runcomfy-cli" exactly. However, the directory item type is "agent skill" and the name to preserve is "runcomfy-cli". The instruction says "Do not include the name unless it appears in the source text." The source text has "runcomfy CLI" and "runcomfy". I think we should preserve "runcomfy" as it appears, but not add the hyphen-cli if not present. But the instruction says "Name to preserve: runcomfy-cli" - that might be the exact name to preserve if it appears. It doesn't appear exactly. So we should translate the text as is, keeping "runcomfy CLI" and "runcomfy" as they are

Run any model on RunComfy from the command line. The `runcomfy` CLI is one binary, one auth, hundreds of model endpoints — image generation, image edit, video generation, image-to-video, lip-sync, face swap, video edit, inpainting, outpainting, extend, ControlNet, relight, upscale, LoRA training and more. Submit a request, poll for status, download the output. This skill teaches the agent how to install, authenticate, discover model schemas, invoke models, stream / poll / no-wait, script in...

ByteDance Seedance 2.0을 inference.sh CLI를 통해 비디오를 생성합니다. 텍스트-비디오, 이미지-비디오, 참조-비디오를 위한 통합 모델로, 동기화된 오디오와 함께 최대 1080p, 4~15초 길이를 지원합니다. Pro 및 Fast 변형이 있습니다. 개인 자산 라이브러리를 통한 초상화 일관성을 제공하는 Studio 변형도 있습니다. 사용 용도: 소셜 미디어 비디오, 뮤직 비디오, 제품 데모, 애니메이션 콘텐츠, 사운드가 포함된 AI 비디오. 트리거: seedance, seedance 2, bytedance video, seedance t2v, seedance i2v, seedance r2v, video with audio,...

ByteDance Seedance 2.0을 inference.sh CLI를 통해 비디오를 생성합니다. 텍스트-비디오, 이미지-비디오, 참조-비디오를 통합한 모델로, 동기화된 오디오와 함께 최대 1080p, 4~15초 길이를 지원합니다. Pro 및 Fast 변형이 있으며, 개인 자산 라이브러리를 통한 초상화 일관성을 제공하는 Studio 변형도 있습니다. 사용 용도: 소셜 미디어 비디오, 뮤직 비디오, 제품 데모, 애니메이션 콘텐츠, 사운드가 포함된 AI 비디오. 트리거: seedance, seedance 2, bytedance video, seedance t2v, seedance i2v, seedance r2v, video with audio,...

ByteDance Seedance 2.0 Pro를 사용하여 RunComfy에서 시네마틱 단편 영상을 생성

We need to translate the given text from English to Korean, preserving the name "seedance-v2" and other technical terms. The text describes a skill for generating cinematic short-form video using ByteDance Seedance 2.0 Pro on RunComfy. It mentions strengths, duration schema, and routing to other models. Also mentions CLI command and trigger phrases. We must not include the name "seedance-v2" unless it appears in the source text. It does appear in the source: "seedance-v2" in the CLI command and in the trigger list. So we keep it as is. Translate the rest naturally into Korean. Ensure technical terms like "multi-modal references", "lip-sync", "cinematic motion refinement", "duration schema", "CLI", "trigger" are appropriately translated or kept as is if they are proper nouns. "RunComfy" is a product name, keep. "HappyHorse 1.0", "Wan 2.7", "Kling" are model names, keep. "ByteDance Seedance

Generate cinematic short-form video with ByteDance Seedance 2.0 Pro on RunComfy. Documents Seedance 2.0 Pro's strengths (multi-modal references — up to 9 images, 3 videos, 3 audio — synchronized in-pass audio with natural lip-sync, cinematic motion refinement), the 4–15s duration schema, and when to route to HappyHorse 1.0 / Wan 2.7 / Kling instead. Calls `runcomfy run bytedance/seedance-v2/pro` through the local RunComfy CLI. Triggers on "seedance", "seedance 2", "seedance v2", "seedance...

RunComfy에서 ByteDance Seedance 2.0 Pro로 시네마틱 숏폼 비디오를 생성합니다. Seedance 2.0 Pro의 강점(최대 9개 이미지, 3개 비디오, 3개 오디오의 멀티모달

영상 및 비디오 스토리보드 제작: 샷 용어, 연속성 규칙, 패널 레이아웃 포함. 샷 유형, 카메라 각도, 움직임, 180도 규칙, 주석 형식 다룸. 사용처: 비디오 기획, 영화 사전 제작, 광고 스토리보드, 뮤직비디오 기획, 애니메이션. 트리거: storyboard, storyboarding, shot list, film planning, video planning, pre production, shot composition, camera angles, scene planning, visual script, animatic, storyboard panels, video storyboard

영상 및 비디오 스토리보드 제작: 샷 용어, 연속성 규칙, 패널 레이아웃 포함. 샷 유형, 카메라 각도, 움직임, 180도 규칙, 주석 형식 다룸. 사용처: 비디오 기획, 영화 사전 제작, 광고 스토리보드, 뮤직비디오 기획, 애니메이션. 트리거: storyboard, storyboarding, shot list, film planning, video planning, pre production, shot composition, camera angles, scene planning, visual script, animatic, storyboard panels, video storyboard

영상 및 비디오 스토리보드 제작으로, 샷 용어, 연속성 규칙, 패널 레이아웃을 포함합니다. 샷 유형, 카메라 각도, 움직임, 180도 규칙, 주석 형식을 다룹니다. 사용처: 비디오 기획, 영화 사전 제작, 광고 스토리보드, 뮤직비디오 기획, 애니메이션. 트리거: storyboard, storyboarding, shot list, film planning, video planning, pre production, shot composition, camera angles, scene planning, visual script, animatic, storyboard panels, video storyboard

사용자가 로컬 스키아 플레이어에서 렌더링되는 Lottie(Bodymovin) JSON 애니메이션을 제작합니다. 사용자가 Lottie 애니메이션을 생성, 편집, 수정하거나 "애니메이션"을 로드해 달라고 요청할 때 사용하세요.

사용자가 AI 도구나 프로그래매틱 프레임워크를 사용하여 동영상 콘텐츠를 생성, 제작, 또는 생산하려는 경우. 또한 사용자가 '동영상 제작', 'AI 동영상', 'Remotion', 'Hyperframes', 'HeyGen', 'Synthesia', 'Veo', 'Sora', 'Runway', 'Kling', 'Seedance', 'Hailuo', 'MiniMax', 'Pika', 'Hunyuan', 'Wan', '동영상 생성', 'AI 아바타', '토킹 헤드 동영상', '프로그래매틱 동영상', '동영상 템플릿', '설명 동영상', '제품 데모 동영상', '동영상 파이프라인', 또는 '동영상을 만들어 줘'를 언급하는 경우에도 사용합니다. 사용...

RunComfy에서 기존 비디오 편집 — 이 스킬은 사용자의 의도를 RunComfy 카탈로그 내 적절한 편집 모델에 매칭하는 스마트 라우터입니다. Wan 2.7 Edit-Video (일반 리스타일 / 배경 교체 / 패키징 교체, 아이덴티티 및 모션 보존), Kling 2.6 Pro Motion Control (참조 비디오의 정밀한 모션을 대상 캐릭터로 전송), 또는 Lucy Edit Restyle (경량 아이덴티티 안정 리스타일 / 의상 교체)을 선택합니다. 각 모델의 문서화된 프롬프팅 패턴을 번들로 제공하여 스킬이...

RunComfy에서 기존 비디오 편집 — 이 스킬은 사용자의 의도를 RunComfy 카탈로그 내 적절한 편집 모델에 매칭하는 스마트 라우터입니다. Wan 2.7 Edit-Video(일반 리스타일/배경 교체/패키지 교체, 아이덴티티 및 모션 보존), Kling 2.6 Pro Motion Control(참조 비디오의 정밀한 모션을 대상 캐릭터로 전송), 또는 Lucy Edit Restyle(경량 아이덴티티 안정 리스타일/의상 교체)을 선택합니다. 각 모델의 문서화된 프롬프트 패턴을 번들로 제공하여 스킬이...

RunComfy에서 기존 비디오 편집 — 이 스킬은 사용자의 의도를 RunComfy 카탈로그 내 적절한 편집 모델에 매칭하는 스마트 라우터입니다. Wan 2.7 Edit-Video (일반 리스타일/배경 교체/패키징 교체, 아이덴티티 및 모션 보존), Kling 2.6 Pro Motion Control (참조 비디오의 정밀한 모션을 대상 캐릭터로 전송), 또는 Lucy Edit Restyle (경량 아이덴티티 안정 리스타일/의상 교체)을 선택합니다. 각 모델의 문서화된 프롬프팅 패턴을 번들로 제공하여 스킬이...

Extend or continue an existing video clip on RunComfy via the `runcomfy` CLI. Routes to Google Veo 3-1's `extend-video` and `fast/extend-video` endpoints — pick the source video plus a prompt describing what should happen next, and the model produces a clip that continues the original with consistent motion, lighting, and subject identity. Use when the user has a short Veo clip and wants it longer, or wants a chained narrative built shot-by-shot from a single seed clip. Triggers on "extend...

Extend or continue an existing video clip on RunComfy via the `runcomfy` CLI. Routes to Google Veo 3-1's `extend-video` and `fast/extend-video` endpoints — pick the source video plus a prompt describing what should happen next, and the model produces a clip that continues the original with consistent motion, lighting, and subject identity. Use when the user has a short Veo clip and wants it longer, or wants a chained narrative built shot-by-shot from a single seed clip. Triggers on "extend...

Extend or continue an existing video clip on RunComfy via the `runcomfy` CLI. Routes to Google Veo 3-1's `extend-video` and `fast/extend-video` endpoints — pick the source video plus a prompt describing what should happen next, and the model produces a clip that continues the original with consistent motion, lighting, and subject identity. Use when the user has a short Veo clip and wants it longer, or wants a chained narrative built shot-by-shot from a single seed clip. Triggers on "extend...

Region edits across video frames on RunComfy via the `runcomfy` CLI — remove an object that appears across many frames, clean up wires or watermarks, replace a region with matching motion. Routes across Wan 2-7 edit-video (default, prompt-driven region edits with spatial language), Lucy Edit Restyle (identity-stable region-aware restyle), and Seedream 4-0 edit-sequential (when treating the clip as a frame stack). Picks the right route based on whether the change is prose-driven,...

Region edits across video frames on RunComfy via the `runcomfy` CLI — remove an object that appears across many frames, clean up wires or watermarks, replace a region with matching motion. Routes across Wan 2-7 edit-video (default, prompt-driven region edits with spatial language), Lucy Edit Restyle (identity-stable region-aware restyle), and Seedream 4-0 edit-sequential (when treating the clip as a frame stack). Picks the right route based on whether the change is prose-driven,...

Region edits across video frames on RunComfy via the `runcomfy` CLI — remove an object that appears across many frames, clean up wires or watermarks, replace a region with matching motion. Routes across Wan 2-7 edit-video (default, prompt-driven region edits with spatial language), Lucy Edit Restyle (identity-stable region-aware restyle), and Seedream 4-0 edit-sequential (when treating the clip as a frame stack). Picks the right route based on whether the change is prose-driven,...

Video outpainting on RunComfy via the `runcomfy` CLI — extend the spatial canvas of a video, change aspect ratio (9:16 vertical to 16:9 horizontal or vice versa), add environment beyond the original frame while preserving the central action. Routes prompt-shaped spatial extension through Wan 2-7 edit-video and points the agent at dedicated ComfyUI outpaint workflows when seam quality matters for hero delivery. Triggers on "video outpaint", "video outpainting", "extend video canvas", "expand...

Video outpainting on RunComfy via the `runcomfy` CLI — extend the spatial canvas of a video, change aspect ratio (9:16 vertical to 16:9 horizontal or vice versa), add environment beyond the original frame while preserving the central action. Routes prompt-shaped spatial extension through Wan 2-7 edit-video and points the agent at dedicated ComfyUI outpaint workflows when seam quality matters for hero delivery. Triggers on "video outpaint", "video outpainting", "extend video canvas", "expand...

Video outpainting on RunComfy via the `runcomfy` CLI — extend the spatial canvas of a video, change aspect ratio (9:16 vertical to 16:9 horizontal or vice versa), add environment beyond the original frame while preserving the central action. Routes prompt-shaped spatial extension through Wan 2-7 edit-video and points the agent at dedicated ComfyUI outpaint workflows when seam quality matters for hero delivery. Triggers on "video outpaint", "video outpainting", "extend video canvas", "expand...

We need to translate the given text from English to Korean, preserving the name "wan-2-7" and other technical terms. The instruction says to translate only the text inside <text>, and not to include the name unless it appears in the source text. The name "wan-2-7" appears in the source text, so we keep it as is. Also preserve "RunComfy", "Wan-AI", "HappyHorse 1.0", "Seedance 2.0", "Kling", "LTX 2", "runcomfy run wan-ai/wan-2-7/text-to-video", "CLI", and URLs or technical terms. The text describes generating text-to-video with Wan 2.7, its strengths, schema, routing alternatives, and trigger phrases. We need to output only the translated text, no extra commentary or labels. The target language is Korean. Let's translate carefully: "Generate text-to-video with Wan 2.7 (Wan-AI's flagship motion model) on

RunComfy에서 Wan 2.7(Wan-AI의 플래그십 모션 모델)로

We need to translate the given text from English to Korean, preserving the name "wan-2-7" and other technical terms. The instruction says to translate only the text inside <text>, and not to include the name unless it appears in the source text. The name "wan-2-7" appears in the source text, so we keep it as is. Also preserve "RunComfy", "Wan-AI", "HappyHorse 1.0", "Seedance 2.0", "Kling", "LTX 2", "runcomfy run wan-ai/wan-2-7/text-to-video", "CLI", and URLs or technical terms. The text describes generating text-to-video with Wan 2.7, its strengths, schema, routing alternatives, and trigger phrases. We need to output only the translated text, no extra commentary or labels. The target language is Korean. Let's translate carefully: "Generate text-to-video with Wan 2.7 (Wan-AI's flagship motion model) on

동영상(URL 또는 로컬 경로)을 시청합니다. yt-dlp로 다운로드하고, ffmpeg로 자동 크기 조정된 프레임을 추출하며, 캡션에서 대본을 가져오거나(또는 Whisper API 대체 사용) 결과를 Claude에 전달하여 동영상 내용에 대한 질문에 답변할 수 있도록 합니다.