terminalskills/skills

moviepy

>- Edit and compose video with Python using MoviePy. Use when a user asks to programmatically edit videos, create video montages, add text overlays, build automated video pipelines, composite multiple clips, apply video effects, generate social media videos from templates, concatenate clips, extract audio, create GIFs, build slideshows, add transitions, resize and crop videos, or integrate video editing into Python applications. Covers MoviePy 2.x for compositing, effects, text, and rendering.

First seen Apr 4, 2026

Installation

$ npx skills add terminalskills/skills --skill moviepy

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Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0
LicenseApache-2.0
CompatibilityPython 3.8+, ffmpeg required
More metadata
author
terminal-skills
version
1.0.0
category
content
tags
["moviepy","python","video-editing","compositing","automation"]

Package contents

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  • skill md SKILL.md 8,121 B
  • docs SUMMARY.md 510 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 6 installs

SKILL.md

MoviePy

Overview

Edit video programmatically with MoviePy — the Python library for video compositing, cutting, effects, and rendering. Ideal for automated video pipelines: social media content generation, bulk video processing, slideshow builders, subtitle embedding, template-based video creation, and any workflow where you need code-driven video editing without a GUI. Built on ffmpeg.

Instructions

Step 1: Installation

pip install moviepy
apt install -y ffmpeg         # Ubuntu/Debian
# Optional for text: apt install -y imagemagick
# Or: pip install Pillow (MoviePy v2.x uses PIL for text)

Step 2: Basic Operations

from moviepy import VideoFileClip, AudioFileClip

clip = VideoFileClip("input.mp4")
print(f"Duration: {clip.duration}s, Size: {clip.size}, FPS: {clip.fps}")

trimmed = clip.subclipped(10, 60)            # 10s to 60s
resized = clip.resized(height=720)            # Maintain aspect ratio
resized = clip.resized((1080, 1920))          # Force size
cropped = clip.cropped(x1=100, y1=50, x2=1820, y2=1030)
fast = clip.with_speed_scaled(2.0)            # 2x speed
silent = clip.without_audio()

trimmed.write_videofile("output.mp4", fps=24, codec="libx264",
    audio_codec="aac", bitrate="5000k", preset="medium", threads=4)
clip.subclipped(5, 10).write_gif("output.gif", fps=15)
clip.close()

Step 3: Concatenation & Composition

from moviepy import VideoFileClip, concatenate_videoclips, CompositeVideoClip, ColorClip

# Concatenate clips sequentially
final = concatenate_videoclips([
    VideoFileClip("scene1.mp4"),
    VideoFileClip("scene2.mp4"),
    VideoFileClip("scene3.mp4"),
])

# Composite (overlay layers)
bg = ColorClip(size=(1920, 1080), color=(15, 23, 42), duration=10)
main = VideoFileClip("main.mp4").resized(height=800).with_position("center")
logo = (VideoFileClip("logo.png", duration=10)
        .resized(height=60).with_position((1820, 30)))

composite = CompositeVideoClip([bg, main, logo], size=(1920, 1080))
composite.write_videofile("composite.mp4", fps=30)

Step 4: Text Overlays

from moviepy import TextClip, CompositeVideoClip, VideoFileClip

video = VideoFileClip("input.mp4")
title = (TextClip(text="Episode 1: Getting Started",
                  font_size=60, color="white", font="Arial-Bold",
                  stroke_color="black", stroke_width=2)
         .with_duration(5).with_position("center").with_start(1))

subtitle = (TextClip(text="Welcome to the show",
                     font_size=36, color="white", bg_color="rgba(0,0,0,128)")
            .with_duration(4).with_position(("center", 900))
            .with_start(3).crossfadein(0.5).crossfadeout(0.5))

final = CompositeVideoClip([video, title, subtitle])
final.write_videofile("titled.mp4")

Step 5: Audio Operations

from moviepy import VideoFileClip, AudioFileClip, CompositeAudioClip

video = VideoFileClip("input.mp4")
video.audio.write_audiofile("extracted.mp3")

# Mix audio tracks
original = video.audio.with_volume_scaled(0.3)
music = AudioFileClip("bg_music.mp3").with_volume_scaled(0.15)
voiceover = AudioFileClip("narration.mp3")
mixed = CompositeAudioClip([original, music, voiceover])
final = video.with_audio(mixed)
final.write_videofile("mixed.mp4")

Step 6: Effects & Custom Filters

from moviepy import VideoFileClip, vfx

clip = VideoFileClip("input.mp4")
clip.with_effects([vfx.MirrorX()])           # Mirror horizontally
clip.with_effects([vfx.BlackAndWhite()])      # Grayscale
clip.with_effects([vfx.FadeIn(1), vfx.FadeOut(2)])

# Custom frame-by-frame effect
def add_vignette(frame):
    import numpy as np
    rows, cols = frame.shape[:2]
    X, Y = np.meshgrid(np.arange(cols) - cols/2, np.arange(rows) - rows/2)
    mask = 1 - np.clip(np.sqrt(X**2 + Y**2) / (max(rows, cols) * 0.5), 0, 1)
    return (frame * mask[:, :, np.newaxis] ** 1.5).astype("uint8")

vignetted = clip.image_transform(add_vignette)

Step 7: Batch Processing

import os
from moviepy import VideoFileClip, TextClip, CompositeVideoClip

def process_video(input_path, output_path, watermark_text="@mychannel"):
    clip = VideoFileClip(input_path).resized(height=1080)
    watermark = (TextClip(text=watermark_text, font_size=24, color="white")
                 .with_opacity(0.5).with_duration(clip.duration).with_position((20, 20)))
    final = CompositeVideoClip([clip, watermark])
    final.write_videofile(output_path, fps=clip.fps, codec="libx264",
                          audio_codec="aac", preset="fast", threads=4)
    clip.close()

input_dir, output_dir = "raw_videos", "processed"
os.makedirs(output_dir, exist_ok=True)
for f in os.listdir(input_dir):
    if f.endswith((".mp4", ".mov", ".avi")):
        process_video(os.path.join(input_dir, f),
                      os.path.join(output_dir, f.rsplit(".", 1)[0] + ".mp4"))

Examples

Example 1: Generate 30 Instagram story videos from a JSON config

User prompt: "I have a products.json file with 30 entries, each containing name, price, tagline, and image_path. Write a Python script that generates a 1080x1920 Instagram story for each product with the product image as background, name in bold white at the top, price in green, and tagline at the bottom with a fade-in."

The agent will write a script that loads products.json, iterates over each entry, creates a ColorClip background at 1080x1920, loads the product image and resizes it to fill the frame, creates TextClip layers for the name (72px, bold, top), price (56px, green #22c55e, center), and tagline (36px, bottom with crossfadein(0.5)), composites them with CompositeVideoClip, renders each to stories/{name}.mp4 at 30fps, and closes all clips.

Example 2: Concatenate interview clips with title cards and background music

User prompt: "I have 5 interview clips in /footage/ named q1.mp4 through q5.mp4. Create a script that puts a 3-second dark title card with white text before each clip showing 'Question 1' through 'Question 5', concatenates everything, adds background music from ambient.mp3 at 20% volume, and exports as interview_final.mp4."

The agent will write a script that builds title cards using ColorClip with dark background and TextClip for each question number, loads each interview clip with VideoFileClip, interleaves title cards and clips into a list, concatenates with concatenate_videoclips, loads ambient.mp3 as an AudioFileClip trimmed to the total duration at 20% volume, mixes it with the original audio using CompositeAudioClip, and writes the final video.

Guidelines

  • Always call clip.close() after writing output to free ffmpeg processes and file handles, especially in batch loops
  • MoviePy 2.x changed many method names from 1.x; use subclipped() not subclip(), resized() not resize(), withposition() not setposition()
  • Set threads=4 or higher in write_videofile() for multi-core encoding, and use preset="fast" for batch jobs where speed matters more than file size
  • For text rendering, MoviePy 2.x uses Pillow by default; install ImageMagick only if you need the method="caption" word-wrapping feature
  • Large batch jobs can exhaust RAM since each clip keeps decoded frames in memory; process one clip at a time and close it before starting the next