video-editing
affaan-m/ECC · Agent Skill
AI-assisted editing and structuring of video footage, including cutting, adding subtitles, and voiceovers, for content creation.
Jump to install ↓Overview
| Publisher | |
|---|---|
| Repository | affaan-m/ECC ↗ |
| Skill folder | video-editing |
| Stars | 257,549 |
| Forks | 38,524 |
| Bundled files | 2 |
| License | MIT |
| Last updated | September 12, 2026 |
| Links | Skill source ↗ · Repository ↗ |
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Installation
A skill is a folder with a SKILL.md file. Pick your agent and run the commands in a terminal (macOS, Linux or Git Bash on Windows) from your project root.
Copy the prompt into Claude, Codex or another assistant: it will review the skill and install it for you.
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
Restart Claude Code — the skill appears in the list; call it manually with /video-editing. For all projects use ~/.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 looks for skills in .agents/skills from the current folder up to the repo root; call one with /skills or $video-editing. For all projects use ~/.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 picks the skill up on start; call it with “/” in Agent chat. Cursor also reads .claude/skills and .agents/skills. For all projects use ~/.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 offers to activate the skill when a task matches — you approve it. For all projects use ~/.gemini/skills.
Read SKILL.md and any companion files before deciding whether to install. Click a file to preview it.
SKILL.md contents
Original author text · read-onlyVideo 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
Frequently asked questions
What does the video-editing skill do?
AI-assisted editing and structuring of video footage, including cutting, adding subtitles, and voiceovers, for content creation.
How do I install video-editing?
Open the “Installation” block on this page and pick your agent — Claude Code, Codex, Cursor or Gemini CLI — for ready-made commands that copy the skill folder to the right place. Or copy the prompt from the “Via assistant” tab and let the assistant review and install the skill.
Which AI models work with video-editing?
Skills are plain Markdown instructions (the Agent Skills format), so video-editing works with any agent that reads SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and more. The model loads the instructions only when a task matches the skill's description.
Is video-editing free?
The skill is published openly by affaan-m under the MIT license. The skill itself costs nothing — you only pay your AI provider for the tokens you use.
Is it safe to install skills?
A skill is a set of instructions your agent will follow, so read SKILL.md and its companion files before installing. Scripts in the skill folder only run if your agent runs them — keep an eye on what it does and do not grant unnecessary permissions.
How is a skill different from an MCP server or a plugin?
An MCP server or plugin gives the model new tools — code that runs and returns a result. A skill gives it knowledge and process: how to approach a task, which steps to follow and what good output looks like. It needs no server or API key.