video-editing
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.
npx skills add mturac/everything-openai-codex --skill video-editing --agent codex
Same command for any agent — swap --agent for claude-code, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 recordi
- When to Activate
- Core Thesis
- The Pipeline
- Layer 1: Capture (Screen Studio / Raw Footage)
- Layer 2: Organization (Codex / Codex)
- Layer 3: Deterministic Cuts (FFmpeg)
- Extract segment by timestamp
- Batch cut from edit decision list
- Concatenate segments
- Create proxy for faster editing
- Extract audio for transcription
- Normalize audio levels
- Layer 4: Programmable Composition (Remotion)
- When to use Remotion
ffmpeg -i raw.mp4 -ss 00:12:30 -to 00:15:45 -c copy segment_01.mp4
while IFS=, read -r start end label; do
ffmpeg -i raw.mp4 -ss "$start" -to "$end" -c copy "segments/${label}.mp4"
done < cuts.txt
Create file list
for f in segments/*.mp4; do echo "file '$f'"; done > concat.txt
ffmpeg -f concat -safe 0 -i concat.txt -c copy assembled.mp4
ffmpeg -i raw.mp4 -vf "scale=960:-2" -c:v libx264 -preset ultrafast -crf 28 proxy.mp4
ffmpeg -i raw.mp4 -vn -acodec pcm_s16le -ar 16000 audio.wav
ffmpeg -i segment.mp4 -af loudnorm=I=-16:TP=-1.5:LRA=11 -c:v copy normalized.mp4What does the video-editing skill do?
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.
How do I install it?
Run `npx skills add mturac/everything-openai-codex --skill video-editing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mturac/everything-openai-codex, a repository with 84 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.