Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →digitalsamba/moviepy
Python video composition with moviepy 2.x — overlaying deterministic text on AI-generated video (LTX-2, SadTalker), compositing clips, single-file build.py video projects.
Passed 22 of 22 test cases with the skill, and 13 of 22 without it.
and 10 more in the full report
9 fixed13 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write a Python script snippet using moviepy to display a title card 'INTRODUCING LONGARM' for 2.0 seconds starting at 0.5s into `hero.mp4` (1920x1080).
| Checked | Without skill | With skill |
|---|---|---|
| Renders text with Pillow, loads as ImageClip, and applies with_duration(2.0) and with_start(0.5). | Missed | Passed |
The instructions your model reads when the skill loads.
moviepy is the toolkit's go-to library for putting deterministic text on top of AI-generated video and for building short, single-file Python video projects without a Remotion toolchain.
The deeper principle is trustworthy text: any genre where text has to be readable, accurate, and consistent (legally, editorially, or commercially) is a genre where AI-rendered in-frame text is unacceptable and a moviepy overlay step is the natural fix. Names must be spelled right. Prices must be exact. Source attributions must be pixel-perfect. AI generation models cannot guarantee any of that.
| Use moviepy when… | Use Remotion when… |
|---|---|
| Overlaying text/labels on an LTX-2 or SadTalker output | Building long-form sprint reviews or product demos |
Building sub-30s ad-style spots in a single build.py | Multi-template, multi-brand, design-heavy work |
Compositing data-driven visuals (matplotlib FuncAnimation → mp4) | Anything needing React components or design system reuse |
| One-off transformations on existing video files | Anything where the project lifecycle (planning → render) matters |
| You want zero Node.js / no React mental overhead | You want hot-reload preview in Remotion Studio |
Two runnable references for everything in this skill live in examples/:
examples/quick-spot/build.py — 15-second ad-style spot. Audio-anchored timeline, text overlay, optional VO + ducked music. Renders silent out of the box with zero external assets.examples/data-viz-chart/build.py — animated time-series chart with deterministic title and source attribution. Demonstrates the matplotlib (data) + moviepy (trustworthy text) split.Both run with uv run build.py and produce a real out.mp4 immediately. Read them alongside this skill — every pattern below is shown working there.
Dependencies. moviepy, Pillow, and matplotlib are declared in the root pyproject.toml and installed with the toolkit's one-line Python setup: uv sync. If you hit Missing dependency when running an example, run that command from the repo root — the examples' build.py files will tell you the same thing in their error message and exit cleanly rather than printing a bare traceback.
Both LTX-2 and SadTalker output bare visuals:
The fix is to generate the visual cleanly, then composite text over it deterministically with moviepy. This is the canonical pattern in this toolkit:
from moviepy import VideoFileClip, ImageClip, CompositeVideoClip
# 1. AI-generated visual (LTX-2 or SadTalker output)
bg = VideoFileClip("lugh_ltx.mp4").without_audio()
test cases passed, vs 13 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.