AI-Assisted Video Editing

What it does

When your agent uses it

• Cutting a long screen recording into a short demo video
• Building a vlog or tutorial from raw camera footage
• Adding subtitles, music or voiceover to existing video
• Reframing a video for YouTube, TikTok or Instagram

Example prompts

• “Turn my raw screen recording into a short demo video with subtitles.”
• “Plan the editing steps for a vlog from raw camera footage, from capture to final polish.”
• “Reframe this tutorial video for TikTok and Instagram.”

Requirements

• FFmpeg installed
• Accounts for the later-layer tools you pick, such as Remotion, ElevenLabs, fal.ai or CapCut

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

1. 1Edit, don't generate. This workflow is for cutting real footage, not creating from prompts.
2. 2Structure before style. Get the story right in Layer 2 before touching anything visual.
3. 3FFmpeg is the backbone. Boring but critical. Where long footage becomes manageable.
4. 4Remotion for repeatability. If you'll do it more than once, make it a Remotion component.
5. 5Generate selectively. Only use AI generation for assets that don't exist, not for everything.
6. 6Taste is the last layer. AI clears repetitive work. You make the final creative calls.

What it can do on your machine

Read from SKILL.md and the folder at commit 2d515e4. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships script files (Lua), which the agent can run.

  Shell commands in SKILL.md call:

  • ffmpeg
  • npx

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • api.elevenlabs.io

  Also links to:

  • remotion.dev

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • ELEVENLABS_API_KEY

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

AI-Assisted Video Editing loads about 2.9k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 1,004 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~81

When it runs · the whole SKILL.md, loaded when a task matches

~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from affaan-m/ECC at commit 2d515e4, republished under its MIT licence (© affaan-m). 1,004 words, ~2,935 tokens.

name

video-editing

description

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.

metadata.origin

ECC

Screen Studio / raw footage
  → Claude / Codex
  → FFmpeg
  → Remotion
  → ElevenLabs / fal.ai
  → Descript or CapCut

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."

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

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

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)

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"
})

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")

# 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

from videodb import ReframeMode

# Smart reframe (AI-guided subject tracking)
reframed = video.reframe(start=0, end=60, target="vertical", mode=ReframeMode.smart)

# 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

# Find silent segments (useful for cutting dead air)
ffmpeg -i input.mp4 -af silencedetect=noise=-30dB:d=2 -f null - 2>&1 | grep silence

"Given this transcript with timestamps and these scene change points,
identify the 5 most engaging 30-second clips for social media."

© affaan-m, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 12 other files (assets) in skills/video-editing of affaan-m/ECC.

• SKILL.md
• assets/fusion/ito-production-v1/ITO_PROD_HighlightBloom.setting
• assets/fusion/ito-production-v1/ITO_PROD_LumaHalo.setting
• assets/fusion/ito-production-v1/ITO_PROD_RGBFringe.setting
• assets/fusion/ito-production-v1/README.md
• assets/fusion/ito-production-v1/install_ito_production_v1.lua
• assets/fusion/ito-production-v1/provenance.json
• assets/fusion/ito-v28/ITO_V28_FlashEtherealBloom.setting
• assets/fusion/ito-v28/ITO_V28_RGBDisplacement.setting
• assets/fusion/ito-v28/ITO_V28_SubjectHalo.setting
• assets/fusion/ito-v28/README.md
• assets/fusion/ito-v28/install_ito_v28.lua
• assets/fusion/ito-v28/provenance.json

Open the folder on GitHubat commit 2d515e4

Used in 4 other repositories

We found 11 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in affaan-m/ECC, which our catalogue first saw on October 7, 2026.

• loulanyue/awesome-claude-notesskills/video-editingdocs/tr/skills/video-editing+4 more
• hashgraph-online/awesome-codex-pluginsplugins/Colin4k1024/tsp/skills/video-editing
• tpavanipradeep/everything-claude-codeskills/video-editing.agents/skills/video-editing
• templetongroup/radiantskills/video-editing