video-editing
AI支援の動画編集機能を提供し、プロンプトによる動画コンテンツ生成ではなく、実写素材の編集、最適化、ポストプロダクションに焦点を当てています。
npx skills add affaan-m/everything-claude-code --skill video-editingBefore / After 効果比較
1 组従来の動画編集は、プロフェッショナルなソフトウェアと多くの手作業を必要とし、時間がかかり、操作者の技術レベルも高く求められます。
動画編集スキルは、AIアシストによる実写素材の編集を提供し、編集プロセスを大幅に簡素化し、動画制作の効率と最終的な完成品の品質を向上させます。
description SKILL.md
video-editing
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 generation -
videodb— Server-side video processing, indexing, and streaming -
content-engine— Platform-native content distribution
Weekly Installs210Repositoryaffaan-m/everyt…ude-codeGitHub Stars83.1KFirst Seen5 days agoSecurity AuditsGen Agent Trust HubPassSocketPassSnykPassInstalled oncodex201cursor169gemini-cli168kimi-cli168amp168cline168
forumユーザーレビュー (0)
レビューを書く
レビューなし
統計データ
ユーザー評価
この Skill を評価