video-editing

name video-editing description AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content. Video Editing AI-assisted editing for real footage. Not generation from prompts. Editing existing video fast. When to Activate User wants to edit, cut, or structure video footage Turning long recordings into short-form content Building vlogs, tutorials, or demo videos from raw capture Adding overlays, subtitles, music, or voiceover to existing video Reframing video for different platforms (YouTube, TikTok, Instagram) User says "edit video", "cut this footage", "make a vlog", or "video workflow" Core Thesis AI video editing is useful when you stop asking it to create the whole video and start using it to compress, structure, and augment real footage. The value is not generation. The value is compression. The Pipeline Screen Studio / raw footage → Codex / Codex → FFmpeg → Remotion → ElevenLabs / fal.ai → Descript or CapCut Each layer has a specific job. Do not skip layers. Do not try to make one tool do everything. Layer 1: Capture (Screen Studio / Raw Footage) Collect the source material: Screen Studio : polished screen recordings for app demos, coding sessions, browser workflows Raw camera footage : vlog footage, interviews, event recordings Desktop capture via VideoDB : session recording with real-time context (see videodb skill) Output: raw files ready for organization. Layer 2: Organization (Codex / Codex) Use OpenAI Codex or Codex to: Transcribe and label : generate transcript, identify topics and themes Plan structure : decide what stays, what gets cut, what order works Identify dead sections : find pauses, tangents, repeated takes Generate edit decision list : timestamps for cuts, segments to keep Scaffold FFmpeg and Remotion code : generate the commands and compositions Example prompt: "Here's the transcript of a 4-hour recording. Identify the 8 strongest segments for a 24-minute vlog. Give me FFmpeg cut commands for each segment." This layer is about structure, not final creative taste. Layer 3: Deterministic Cuts (FFmpeg) FFmpeg handles the boring but critical work: splitting, trimming, concatenating, and preprocessing. Extract segment by timestamp ffmpeg -i raw.mp4 -ss 00:12:30 -to 00:15:45 -c copy segment_01.mp4 Batch cut from edit decision list #!/bin/bash # cuts.txt: start,end,label while IFS=, read -r start end label; do ffmpeg -i raw.mp4 -ss " $start " -to " $end " -c copy "segments/ ${label} .mp4" done < cuts.txt Concatenate segments # Create file list for f in segments/*.mp4; do echo "file ' $f '" ; done > concat.txt ffmpeg -f concat -safe 0 -i concat.txt -c copy assembled.mp4 Create proxy for faster editing ffmpeg -i raw.mp4 -vf "scale=960:-2" -c:v libx264 -preset ultrafast -crf 28 proxy.mp4 Extract audio for transcription ffmpeg -i raw.mp4 -vn -acodec pcm_s16le -ar 16000 audio.wav Normalize audio levels ffmpeg -i segment.mp4 -af loudnorm=I=-16:TP=-1.5:LRA=11 -c:v copy normalized.mp4 Layer 4: Programmable Composition (Remotion) Remotion turns editing problems into composable code. Use it for things that traditional editors make painful: When to use Remotion Overlays: text, images, branding, lower thirds Data visualizations: charts, stats, animated numbers Motion graphics: transitions, explainer animations Composable scenes: reusable templates across videos Product demos: annotated screenshots, UI highlights Basic Remotion composition import { AbsoluteFill , Sequence , Video , useCurrentFrame } from "remotion" ; export const VlogComposition : React . FC = () => { const frame = useCurrentFrame (); return ( < AbsoluteFill > {/* Main footage */} < Sequence from = {0} durationInFrames = {300} > < Video src = "/segments/intro.mp4" /> </ Sequence > {/* Title overlay */} < Sequence from = {30} durationInFrames = {90} > < AbsoluteFill style = {{ justifyContent: " center ", alignItems: " center ", }}> < h1 style = {{ fontSize: 72 , color: " white ", textShadow: " 2px 2px 8px rgba ( 0 , 0 , 0 , 0.8 )", }}> The AI Editing Stack </ h1 > </ AbsoluteFill > </ Sequence > {/* Next segment */} < Sequence from = {300} durationInFrames = {450} > < Video src = "/segments/demo.mp4" /> </ Sequence > </ AbsoluteFill > ); }; Render output npx remotion render src/index.ts VlogComposition output.mp4 See the Remotion docs for detailed patterns and API reference. Layer 5: Generated Assets (ElevenLabs / fal.ai) Generate only what you need. Do not generate the whole video. Voiceover with ElevenLabs import os import requests resp = requests.post( f"https://api.elevenlabs.io/v1/text-to-speech/ {voice_id} " , headers={ "xi-api-key" : os.environ[ "ELEVENLABS_API_KEY" ], "Content-Type" : "application/json" }, json={ "text" : "Your narration text here" , "model_id" : "eleven_turbo_v2_5" , "voice_settings" : { "stability" : 0.5 , "similarity_boost" : 0.75 } } ) with open ( "voiceover.mp3" , "wb" ) as f: f.write(resp.content) Music and SFX with fal.ai Use the fal-ai-media skill for: Background music generation Sound effects (ThinkSound model for video-to-audio) Transition sounds Generated visuals with fal.ai Use for insert shots, thumbnails, or b-roll that doesn't exist: generate(model_name: "fal-ai/nano-banana-pro", input: { "prompt": "professional thumbnail for tech vlog, dark background, code on screen", "image_size": "landscape_16_9" }) VideoDB generative audio If VideoDB is configured: voiceover = coll.generate_voice(text= "Narration here" , voice= "alloy" ) music = coll.generate_music(prompt= "lo-fi background for coding vlog" , duration= 120 ) sfx = coll.generate_sound_effect(prompt= "subtle whoosh transition" ) Layer 6: Final Polish (Descript / CapCut) The last layer is human. Use a traditional editor for: Pacing : adjust cuts that feel too fast or slow Captions : auto-generated, then manually cleaned Color grading : basic correction and mood Final audio mix : balance voice, music, and SFX levels Export : platform-specific formats and quality settings This is where taste lives. AI clears the repetitive work. You make the final calls. Social Media Reframing Different platforms need different aspect ratios: Platform Aspect Ratio Resolution YouTube 16:9 1920x1080 TikTok / Reels 9:16 1080x1920 Instagram Feed 1:1 1080x1080 X / Twitter 16:9 or 1:1 1280x720 or 720x720 Reframe with FFmpeg # 16:9 to 9:16 (center crop) ffmpeg -i input.mp4 -vf "crop=ih*9/16:ih,scale=1080:1920" vertical.mp4 # 16:9 to 1:1 (center crop) ffmpeg -i input.mp4 -vf "crop=ih:ih,scale=1080:1080" square.mp4 Reframe with VideoDB # Smart reframe (AI-guided subject tracking) reframed = video.reframe(start= 0 , end= 60 , target= "vertical" , mode=ReframeMode.smart) Scene Detection and Auto-Cut FFmpeg scene detection # Detect scene changes (threshold 0.3 = moderate sensitivity) ffmpeg -i input.mp4 -vf "select='gt(scene,0.3)',showinfo" -vsync vfr -f null - 2>&1 | grep showinfo Silence detection for auto-cut # Find silent segments (useful for cutting dead air) ffmpeg -i input.mp4 -af silencedetect=noise=-30dB:d=2 -f null - 2>&1 | grep silence Highlight extraction Use Codex to analyze transcript + scene timestamps: "Given this transcript with timestamps and these scene change points, identify the 5 most engaging 30-second clips for social media." What Each Tool Does Best Tool Strength Weakness Codex / Codex Organization, planning, code generation Not the creative taste layer FFmpeg Deterministic cuts, batch processing, format conversion No visual editing UI Remotion Programmable overlays, composable scenes, reusable templates Learning curve for non-devs Screen Studio Polished screen recordings immediately Only screen capture ElevenLabs Voice, narration, music, SFX Not the center of the workflow Descript / CapCut Final pacing, captions, polish Manual, not automatable Key Principles Edit, don't generate. This workflow is for cutting real footage, not creating from prompts. Structure before style. Get the story right in Layer 2 before touching anything visual. FFmpeg is the backbone. Boring but critical. Where long footage becomes manageable. Remotion for repeatability. If you'll do it more than once, make it a Remotion component. Generate selectively. Only use AI generation for assets that don't exist, not for everything. Taste is the last layer. AI clears repetitive work. You make the final creative calls. Related Skills fal-ai-media — AI image, video, and audio generation videodb — Server-side video processing, indexing, and streaming content-engine — Platform-native content distribution