본문으로 건너뛰기
cccskills
무료GitHub에 공개

video-understand

Inspect video content locally by extracting frames with ffmpeg and transcribing speech with Whisper. The skill produces timestamped image paths, transcript segments, and video details in JSON, giving an agent material for visual review without requiring API keys.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Understand video content locally using ffmpeg frame extraction and Whisper transcription. No API keys needed. Use when: (1) Understanding what a video contains, (2) Transcribing video audio locally, (3) Extracting key frames for visual analysis, (4) Getting video content without API keys.

설치 방법 보기

이럴 때 유용합니다

  • Reviewing scenes and speech in a local video
  • Transcribing video audio without API keys
  • Extracting frames at scene changes or regular intervals
  • Saving timestamped frames and transcripts as JSON

포함된 파일(3)

  • SKILL.md3.3 KB
  • references/output-format.md3.1 KB
  • scripts/understand_video.py20.4 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

video-understand

Understand video content locally using ffmpeg for frame extraction and Whisper for transcription. Fully offline, no API keys required.

Prerequisites

  • ffmpeg + ffprobe (required): brew install ffmpeg
  • openai-whisper (optional, for transcription): pip install openai-whisper

Commands

# Scene detection + transcribe (default)
python3 skills/video-understand/scripts/understand_video.py video.mp4

# Keyframe extraction
python3 skills/video-understand/scripts/understand_video.py video.mp4 -m keyframe

# Regular interval extraction
python3 skills/video-understand/scripts/understand_video.py video.mp4 -m interval

# Limit frames extracted
python3 skills/video-understand/scripts/understand_video.py video.mp4 --max-frames 10

# Use a larger Whisper model
python3 skills/video-understand/scripts/understand_video.py video.mp4 --whisper-model small

# Frames only, skip transcription
python3 skills/video-understand/scripts/understand_video.py video.mp4 --no-transcribe

# Quiet mode (JSON only, no progress)
python3 skills/video-understand/scripts/understand_video.py video.mp4 -q

# Output to file
python3 skills/video-understand/scripts/understand_video.py video.mp4 -o result.json

CLI Options

FlagDescription
videoInput video file (positional, required)
-m, --modeExtraction mode: scene (default), keyframe, interval
--max-framesMaximum frames to keep (default: 20)
--whisper-modelWhisper model size: tiny, base, small, medium, large (default: base)
--no-transcribeSkip audio transcription, extract frames only
-o, --outputWrite result JSON to file instead of stdout
-q, --quietSuppress progress messages, output only JSON

Extraction Modes

ModeHow it worksBest for
sceneDetects scene changes via ffmpeg select='gt(scene,0.3)'Most videos, varied content
keyframeExtracts I-frames (codec keyframes)Encoded video with natural keyframe placement
intervalEvenly spaced frames based on duration and max-framesFixed sampling, predictable output

If scene mode detects no scene changes, it automatically falls back to interval mode.

Output

The script outputs JSON to stdout (or file with -o). See references/output-format.md for the full schema.

{
  "video": "video.mp4",
  "duration": 18.076,
  "resolution": {"width": 1224, "height": 1080},
  "mode": "scene",
  "frames": [
    {"path": "/abs/path/frame_0001.jpg", "timestamp": 0.0, "timestamp_formatted": "00:00"}
  ],
  "frame_count": 12,
  "transcript": [
    {"start": 0.0, "end": 2.5, "text": "Hello and welcome..."}
  ],
  "text": "Full transcript...",
  "note": "Use the Read tool to view frame images for visual understanding."
}

Use the Read tool on frame image paths to visually inspect extracted frames.

References

  • references/output-format.md -- Full JSON output schema documentation

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

Create 3D objects from text or images, choose catalog assets for repeated scenery, and inspect the results in Blender. The workflow checks geometry, materials, scale, and ground contact while recording asset sources and generation costs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Create a unique 3D object from a text description
  • Reconstruct a 3D object from a concept image
  • Populate scenery with catalog vegetation and rocks
calesthio/OpenMontage7만2026년 10월 17일 업데이트

acestep

무료

Generate background music and songs with lyrics using ACE-Step 1.5, with controls for duration, tempo, and musical key. You can also restyle reference audio and separate vocals or individual instruments from mixed tracks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Generate background music to match a video scene
  • Create a short jingle with supplied lyrics
  • Make a jazz arrangement of reference audio
calesthio/OpenMontage7만2026년 10월 17일 업데이트

agents

무료

Build voice assistants and conversational characters with ElevenLabs. Configure voices, language models, and external tools, then connect conversations to a website widget or use Twilio integration for outbound phone calls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Creating a voice bot for customer support
  • Embedding a voice assistant on a website
  • Building an interactive voice character
calesthio/OpenMontage7만2026년 10월 17일 업데이트

Create AI video clips from text or reference images, choosing among providers to match the task and budget. Supports vertical social videos, product photo animation, and conversational editing of existing clips with Gemini Omni Flash.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Create vertical video clips for social media
  • Animate product photos
  • Choose a video provider for a budget and visual style
calesthio/OpenMontage7만2026년 10월 17일 업데이트

Generate video clips from text descriptions or reference images through multiple API services. Compare available providers by cost and task needs, choose aspect ratios, track generation progress, and refine existing clips through conversational editing with Gemini Omni.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Generating clips from written scene descriptions
  • Animating a product photo
  • Creating vertical videos for social media
calesthio/OpenMontage7만2026년 10월 17일 업데이트

Generate and edit images and videos through Atlas Cloud using one API key across multiple model families. Choose supported models for each task, download the results, and retain details about the model, inputs, and estimated cost.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Generate images and videos through one service
  • Edit product images using reference materials
  • Create videos from images, video, or audio references
calesthio/OpenMontage7만2026년 10월 17일 업데이트

calesthio의 스킬 모두 보기

이 스킬의 문제 신고