by KumarSashank
Recreate any web animation from a screen recording. A motion-design plugin: analyzes motion (timing, easing, stagger, loops) and rebuilds it as GSAP / CSS / Framer Motion / Lottie code.
# Add to your Claude Code skills
git clone https://github.com/KumarSashank/motiscopemotiscope is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by KumarSashank. Recreate any web animation from a screen recording. A motion-design plugin: analyzes motion (timing, easing, stagger, loops) and rebuilds it as GSAP / CSS / Framer Motion / Lottie code. It has 51 GitHub stars.
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Clone the repository with "git clone https://github.com/KumarSashank/motiscope" and add it to your Claude Code skills directory (see the Installation section above).
motiscope is primarily written in Python. It is open-source under KumarSashank on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh motiscope against similar tools.
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A motion-design tool for coding agents. Pure Python (standard library) + ffmpeg.
No cloud, no npm, no accounts required. Ships as a Claude Code plugin, and as
portable agent skills for Codex, Cursor, and anything that reads AGENTS.md.
"I want this animation on my site." — drop the clip, run
/motiscope:analyze, then/motiscope:recreate gsap.
motiscope measured the motion of the tomato — a 4.45s clock, the wake-and-wave beats, and the easing curve of each. The banana is an original character built on that measured motion: an 11 KB animated SVG. The timing transfers; the artwork doesn't have to.
Original animation from SVGator's website-animation examples — all credit to the original creator. → full example · gallery
Fifteen tiles spin, scroll and ripple. motiscope measured a 0.75s master beat — burst peaks at 0.317 / 1.067 / 1.817s, agreeing to ±0.02s across three independent tiles — and an easing whose peak angular speed is 3.6× the mean, far sharper than a stock ease-in-out. The result is 14 KB of animated SVG with no JavaScript. Only the palette changed.
The whole-frame summary said linear. Per tile it isn't — the velocity drops to near zero
and ramps again. That's the point: the report gives you the timing, you read the frames.
→ Live recreation · raw analysis + build script · original on SVGator
motiscope does the one thing a vision model can't do from a screenshot — measure time — and hands everything else to the model:
scdet, freezedetect,
blackdetect, siti, signalstats) give the exact timing: durations, the
per-segment easing curve (a real cubic-bezier fitted from the velocity
profile), beat/segment boundaries, stagger timing, and loop period. A still has no
time axis — so this is the part that can't be guessed. It's the moat.So: measured timing + curated frames → the model recreates it. motiscope is a precise stopwatch and a smart frame-picker; the intelligence is Claude's.
Want the real mechanism? How it works
walks through the motion-energy curve, why the hold threshold is anchored to the 75th
percentile instead of the peak, and how easing is recovered by integrating speed — with
figures drawn from real pipeline output, and ground-truth clips you can run yourself.
Exact constants: docs/how-it-works.md.
Staggered entrances, easing curves, holds, fades, loops — read off the energy curve and rebuilt as code. (These figures are animated SVGs — the same kind of motion motiscope recreates.)
Claude Code — install the plugin; it bundles everything:
/plugin marketplace add github:KumarSashank/motiscope
/plugin install motiscope@motiscope
Codex, Cursor, or any other agent — install the CLI, then teach your agent:
git clone https://github.com/KumarSashank/motiscope.git ~/.motiscope
~/.motiscope/install.sh # one symlink into ~/.local/bin, no sudo
motiscope install codex # -> ~/.agents/skills/
motiscope install cursor # -> ./.cursor/skills/ + rules
motiscope install agents # -> a marked block in ./AGENTS.md
motiscope install list # every target
Requires ffmpeg + ffprobe (and python3). Run motiscope doctor — or
/motiscope:doctor in Claude Code — to check and, with your consent, install them.
New here? See QUICKSTART.md. Full matrix and version caveats:
PLATFORMS.md.
/motiscope:doctor # verify deps, scaffold config (first run)
/motiscope:analyze animations/hero.mp4 # analyze a recording -> animation spec
/motiscope:recreate gsap # emit GSAP code (or css | framer | lottie)
Or just drop a recording into an animations/ folder in your project and run
/motiscope:analyze — it will find it.
Local files only. Supported: .mp4 .mov .webm .mkv .m4v .avi .gif. To capture a
web animation, screen-record it and save the file.
| Command | What it does |
|---|---|
/motiscope:analyze [path] [notes] |
Extract the motion analysis + curated frames, then characterize the animation as a spec. |
/motiscope:recreate [gsap|css|framer|lottie] [out-dir] |
Turn the spec into runnable code for a target framework. |
/motiscope:rebuild-site [path] [gsap|css|framer] |
Rebuild a whole landing page from a walkthrough recording — sections, copy, design system, scroll animations, and generated assets. |
/motiscope:doctor |
Verify ffmpeg/ffprobe; scaffold ~/.config/motiscope/{config.json,.env}. |
Outside Claude Code the same four workflows are skills named motiscope-analyze,
motiscope-recreate, motiscope-rebuild-site, motiscope-doctor (Codex mentions them
with $name, Cursor with /name), and the measurement runs as motiscope analyze ....
In Claude Code, GSAP output leans on the official GSAP skills (timeline / core / scrolltrigger / react / utils) for idiomatic results; elsewhere the workflow carries the equivalent guidance inline.
Only the curated frames the model sees cost tokens (~300–400 each); the numeric analysis is free. Frame count tracks motion complexity, capped by a preset — it does not grow with video length (a 10s clip typically yields ~10 frames).
| Preset | Frame cap | Resolution | Use when |
|---|---|---|---|
draft |
12 | 512px | quick look, tight budget |
balanced (default) |
32 (usually 8–20 after dedup) | 640px | most cases |
detailed |
48 | 960px | dense sequences / reading text |
landing |
44 | 1280px | web/landing walkthroughs — cover each section + its motion |
--start 0:12 --end 0:15 (timestamps come
back in absolute source time).--fps 20 lays a uniform backbone (a frame every
~50ms) across the window; near-identical frames still collapse unless --no-dedup.--decompose / disable with --no-decompose.repeat / yoyo.Small elements register correctly: the primary motion signal is localized (built from the most-active regions), so a small button/card/icon moving on a large page is detected as real motion rather than washing out in a whole-frame average.
Per-video working files land in a gitigno