
Video Editing
FreeStreamline your video editing with AI assistance.
Free · Opens the source repo
What Video Editing does
The Video Editing skill provides a comprehensive, AI-assisted workflow for editing real footage, focusing on efficiency and structure rather than generating content from scratch. This skill is designed for developers and designers who want to cut, structure, and enhance existing video material quickly and effectively. By leveraging a series of specialized tools, it guides users through the entire video editing process, from initial capture to final polish.
The workflow begins with capturing raw footage using tools like Screen Studio for polished screen recordings or standard camera footage for vlogs and interviews. Once the raw material is collected, users can utilize Claude or Codex to transcribe, label, and organize the content, making it easier to identify key segments and create a structured edit decision list. This organization phase is crucial as it sets the foundation for efficient editing.
Next, FFmpeg takes over for the deterministic cuts, handling the technical tasks of trimming, splitting, and concatenating video segments. This layer ensures that the editing process is both precise and manageable, allowing users to focus on the creative aspects later. After the initial cuts, Remotion can be employed for programmable compositions, enabling users to add overlays, motion graphics, and reusable templates that enhance the visual storytelling.
Finally, the workflow culminates in the final polish phase with tools like Descript or CapCut, where users can adjust pacing, clean up captions, perform color grading, and mix audio. This last step is where personal taste and creative judgment come into play, ensuring that the final product meets the desired quality standards. Overall, this skill is ideal for anyone looking to streamline their video editing process while maintaining control over the creative output.
When to use it
Use this skill when you need to edit video footage, create vlogs, or build content from existing recordings, especially when working with long-form material.
When not to use it
This skill is not suitable for generating new video content from scratch or for users who prefer a traditional video editing interface without code.
What you can build with it
Editing Long Recordings
Transform lengthy recordings into concise, engaging videos by identifying key segments and cutting unnecessary content.
Creating Vlogs
Easily build vlogs from raw footage by structuring the content and adding necessary overlays and audio.
Social Media Content
Reframe videos for different platforms by adjusting aspect ratios and optimizing content for various audiences.
How to install Video Editing
View source1. Install with the skills CLI
npx skills add affaan-m/ecc/video-editing --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by affaan-mVideo 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(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 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
Frequently asked questions about Video Editing
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