video-editing
affaan-m/ECC · Agent Skill
Modifica e struttura di filmati video assistiti dall'IA, inclusi tagli, aggiunta di sottotitoli e voci fuori campo, per la creazione di contenuti.
Vai all'installazione ↓Panoramica
| Autore | |
|---|---|
| Repository | affaan-m/ECC ↗ |
| Cartella dello skill | video-editing |
| Stelle | 257.549 |
| Fork | 38.524 |
| File inclusi | 2 |
| Licenza | MIT |
| Aggiornato | 12 settembre 2026 |
| Link | Sorgente dello skill ↗ · Repository ↗ |
Verifica Mozgi
Cosa abbiamo trovato nei file dello skill. I dettagli con l’abbonamento.
Installazione
Uno skill è una cartella con un file SKILL.md. Scegli il tuo agente ed esegui i comandi in un terminale (macOS, Linux o Git Bash su Windows) dalla radice del progetto.
Incolla il prompt in Claude, Codex o un altro assistente: controllerà lo skill e lo installerà.
Install the “video-editing” skill from mozgi.io (https://mozgi.io/skills/video-editing/) for me. 1. Download the archive: https://mozgi.io/skills/video-editing/download If it fails, take the skill folder from the source: https://github.com/affaan-m/ECC/tree/main/.agents/skills/video-editing 2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me. 3. Put the “video-editing” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.). 4. Make sure <skills folder>/video-editing/SKILL.md exists. 5. Briefly tell me what this skill does and offer to try it on my task. If you cannot do a step yourself, tell me what to click or type.
git clone --depth 1 --branch main https://github.com/affaan-m/ECC.git /tmp/ECC mkdir -p .claude/skills cp -r /tmp/ECC/.agents/skills/video-editing .claude/skills/video-editing
Riavvia Claude Code: lo skill compare nell'elenco; per richiamarlo a mano usa /video-editing. Per tutti i progetti: ~/.claude/skills.
git clone --depth 1 --branch main https://github.com/affaan-m/ECC.git /tmp/ECC mkdir -p .agents/skills cp -r /tmp/ECC/.agents/skills/video-editing .agents/skills/video-editing
Codex cerca gli skill in .agents/skills dalla cartella corrente fino alla radice del repo; richiamalo con /skills o $video-editing. Per tutti i progetti: ~/.agents/skills.
git clone --depth 1 --branch main https://github.com/affaan-m/ECC.git /tmp/ECC mkdir -p .cursor/skills cp -r /tmp/ECC/.agents/skills/video-editing .cursor/skills/video-editing
Cursor carica lo skill all'avvio; richiamalo con “/” nella chat Agent. Cursor legge anche .claude/skills e .agents/skills. Per tutti i progetti: ~/.cursor/skills.
git clone --depth 1 --branch main https://github.com/affaan-m/ECC.git /tmp/ECC mkdir -p .gemini/skills cp -r /tmp/ECC/.agents/skills/video-editing .gemini/skills/video-editing
Gemini CLI propone di attivare lo skill quando il compito corrisponde: tu confermi. Per tutti i progetti: ~/.gemini/skills.
Leggi SKILL.md e i file correlati prima di installare. Clicca un file per l'anteprima.
Contenuto di SKILL.md
Testo originale dell'autore · sola letturaVideo 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
1. Edit, don't generate. This workflow is for cutting real footage, not creating from prompts.
2. Structure before style. Get the story right in Layer 2 before touching anything visual.
3. FFmpeg is the backbone. Boring but critical. Where long footage becomes manageable.
4. Remotion for repeatability. If you'll do it more than once, make it a Remotion component.
5. Generate selectively. Only use AI generation for assets that don't exist, not for everything.
6. 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
Domande frequenti
Che cosa fa lo skill video-editing?
Modifica e struttura di filmati video assistiti dall'IA, inclusi tagli, aggiunta di sottotitoli e voci fuori campo, per la creazione di contenuti.
Come si installa video-editing?
Apri il blocco “Installazione” in questa pagina e scegli il tuo agente — Claude Code, Codex, Cursor o Gemini CLI — per i comandi pronti che copiano la cartella dello skill nel posto giusto. Oppure copia il prompt dalla scheda “Con l'assistente” e lascia che sia l'assistente a controllare e installare lo skill.
Con quali modelli AI funziona video-editing?
Gli skill sono semplici istruzioni in Markdown (formato Agent Skills), quindi video-editing funziona con qualsiasi agente che legge SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode e altri. Il modello carica le istruzioni solo quando il compito corrisponde alla descrizione dello skill.
video-editing è gratuito?
Lo skill è pubblicato apertamente da affaan-m con licenza MIT. Lo skill in sé non costa nulla: paghi solo il tuo fornitore AI per i token usati.
È sicuro installare gli skill?
Uno skill è un insieme di istruzioni che il tuo agente seguirà: leggi SKILL.md e i file correlati prima di installarlo. Gli script nella cartella dello skill vengono eseguiti solo se li esegue l'agente: controlla cosa fa e non concedere permessi superflui.
In cosa differisce uno skill da un server MCP o da un plugin?
Un server MCP o un plugin danno al modello nuovi strumenti: codice che viene eseguito e restituisce un risultato. Uno skill fornisce conoscenza e metodo: come affrontare il compito, quali passi seguire e com'è un buon risultato. Non servono server né chiavi API.