AI-assisted editing for real footage. Not generation from prompts. Editing existing video fast.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionvideo-editingExecute the skills CLI command in your project's root directory to begin installation:
Fetches video-editing from affaan-m/everything-claude-code and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate video-editing. Access via /video-editing in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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AI-assisted editing for real footage. Not generation from prompts. Editing existing video fast.
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.
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.
Collect the source material:
videodb skill)Output: raw files ready for organization.
Use Claude Code or Codex to:
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.
FFmpeg handles the boring but critical work: splitting, trimming, concatenating, and preprocessing.
ffmpeg -i raw.mp4 -ss 00:12:30 -to 00:15:45 -c copy segment_01.mp4
#!/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/${label}.mp4"
done < cuts.txt
# Create file list
for f in segments/*.mp4; do echo "file '$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.mp4
Remotion turns editing problems into composable code. Use it for things that traditional editors make painful:
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>
);
};
npx remotion render src/index.ts VlogComposition output.mp4
See the Remotion docs for detailed patterns and API reference.
Generate only what you need. Do not generate the whole video.
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)
Use the fal-ai-media skill for:
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"
})
If VideoDB
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
whyashthakker/agent-skills-marketing
affaan-m/everything-claude-code
affaan-m/everything-claude-code
affaan-m/everything-claude-code
affaan-m/everything-claude-code
supercent-io/skills-template
I recommend video-editing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
video-editing has been reliable in day-to-day use. Documentation quality is above average for community skills.
video-editing fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added video-editing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend video-editing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in video-editing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: video-editing is focused, and the summary matches what you get after install.
video-editing reduced setup friction for our internal harness; good balance of opinion and flexibility.
video-editing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
video-editing has been reliable in day-to-day use. Documentation quality is above average for community skills.
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