video-editing
affaan-m/ecc
AI-assisted editing pipeline for cutting, structuring, and augmenting real video footage.
What is video-editing?
Compress and structure existing video footage through a layered pipeline: capture → transcription & planning → FFmpeg cuts → Remotion overlays → generated assets (voiceover, music) → final polish in Descript or CapCut. Use this when editing raw recordings into polished short-form content, vlogs, tutorials, or platform-specific videos.
- Extract and trim video segments by timestamp using FFmpeg
- Batch process edit decision lists to automate cutting workflows
- Concatenate multiple segments into assembled videos
- Generate programmable overlays, text, and motion graphics with Remotion
- Create voiceovers and background music via ElevenLabs and fal.ai
- Reframe videos for different platforms (YouTube 16:9, TikTok 9:16, Instagram 1:1)
How to install video-editing
npx skills add null --skill video-editing- FFmpeg installed locally or accessible via command line
- Node.js and npm for Remotion rendering
- ElevenLabs API key (for voiceover generation)
- fal.ai API key (for music and sound effects)
- Descript or CapCut for final manual polish (optional but recommended)
How to use video-editing
- 1.Capture raw footage using Screen Studio, camera, or desktop recording tools
- 2.Transcribe the footage and use Claude Code to identify key segments and create an edit decision list with timestamps
- 3.Use FFmpeg to extract and trim segments based on the edit decision list, then concatenate them into an assembled cut
- 4.Build Remotion compositions to add overlays, text, branding, or motion graphics to your segments
- 5.Generate voiceovers with ElevenLabs and background music/SFX with fal.ai for missing audio elements
- 6.Import the assembled video into Descript or CapCut for final pacing adjustments, caption cleanup, color grading, and audio mixing
- 7.Export in platform-specific formats using FFmpeg reframing commands for YouTube, TikTok, Instagram, or other targets
Use cases
- Convert 4-hour raw recordings into 24-minute structured vlogs with identified key segments
- Add branded overlays, lower thirds, and animated text to tutorial videos using Remotion compositions
- Generate platform-specific versions (vertical for TikTok, square for Instagram) from a single 16:9 master
- Automate audio normalization and voiceover insertion across multiple video segments
- Create reusable editing templates for recurring content types (product demos, interviews, coding sessions)
- Content creators building vlogs, tutorials, or demo videos
- Product teams creating annotated UI walkthroughs and product demos
- Educators turning long lectures or recordings into short-form educational content
- Developers documenting coding sessions or technical workflows
- Teams needing to reformat content for multiple social platforms
video-editing FAQ
No. This skill is for editing and structuring existing footage. The value is compression and augmentation, not generation. Use it when you have raw material to cut, trim, and enhance.
Each tool solves a specific problem: FFmpeg handles deterministic cuts and batch processing, Remotion handles programmable overlays and motion graphics, ElevenLabs handles voiceover, and Descript/CapCut handle final creative polish. Layering them avoids forcing one tool to do everything poorly.
Layers 1–5 (capture through generated assets) can be mostly automated. Layer 6 (final polish in Descript/CapCut) requires human judgment for pacing, color grading, and overall feel. AI clears repetitive work; you make the final creative calls.
Use FFmpeg to center-crop and scale: `ffmpeg -i input.mp4 -vf "crop=ih*9/16:ih,scale=1080:1920" vertical.mp4`. Or use VideoDB's smart reframe mode for AI-guided subject tracking.
Use Claude Code to transcribe the audio first (extract with FFmpeg, send to a transcription API), then use the transcript to plan cuts and identify key segments.
Full instructions (SKILL.md)
Source of truth, from affaan-m/ecc.
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. metadata: origin: ECC
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
→ Claude / 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
videodbskill)
Output: raw files ready for organization.
Layer 2: Organization (Claude / Codex)
Use Claude Code 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(app_id: "fal-ai/nano-banana-pro", input_data: {
"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
from videodb import ReframeMode
# 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 Claude 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 |
|---|---|---|
| Claude / 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 generationvideodb— Server-side video processing, indexing, and streamingcontent-engine— Platform-native content distribution
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