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Install the Recharm video effects skill: download https://recharm-growth-staging.s3.us-east-2.amazonaws.com/website/downloads/recharm-video-effects.zip and unzip it into ~/.claude/skillsAsk for the effect
Join clipA.mp4 and clipB.mp4 with a lens distortion transition Length of the transition in seconds: 0.8 How much the center is magnified at the peak (1.5 = 2.5x); the corners stay put: 1.5
Several videos, several effects, one ask
Put your clips in the folder, mention them with @, and ask for everything at once. Claude runs one tested script after another on each clip, then joins them.
Put a sale badge on @clip1.mp4, give @clip2.mp4 a VHS look, then join them with a lens distortion transition.
Settings you can change
Ask Claude to change any of these, or edit them at the top of the script.
| Setting | Default | What it does |
|---|---|---|
D | 0.8 | Length of the transition in seconds. |
BULGE | 1.5 | How much the center is magnified at the peak (1.5 = 2.5x); the corners stay put. |
SWAP | 0.2 | Share of the transition, around the peak, over which A dissolves into B. |
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Don’t want to install the skill? Paste this prompt into Claude Code and Claude writes the script itself.
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Join clipA.mp4 and clipB.mp4 with a 0.8 second lens distortion transition over the last 0.8 seconds of A and the first 0.8 seconds of B. Use Python with OpenCV (cv2.remap) to bend each transition frame like a fisheye lens about the frame's center: an output pixel at radius r (0 at the center, 1 at the corner) samples the source at radius r * (1 + k*r^2) / (1 + k), so the corners stay put and the center is magnified 1 + k times. k rises from 0 to 1.5 and back to 0 with a cosine ease (k = 1.5 * (1 - cos(2*pi*p)) / 2, p from 0 to 1 across the transition). Bulge both clips the same way and dissolve from A to B over the middle 20% of the transition (p 0.4 to 0.6). Before the transition show A unchanged, after it B unchanged. Crossfade the audio over the same 0.8 seconds. Match B's size and frame rate to A, and save it as output.mp4.Run it without Claude
This is the exact script we tested. Save it as lens-distortion-transition.py and run:
python3 lens-distortion-transition.py clipA.mp4 clipB.mp4 output.mp4Show the script
#!/usr/bin/env python3
"""Lens distortion transition: clip A bulges out like a fisheye lens, then clip B flattens back from the bulge, over 0.8s.
Usage: python3 lens-distortion-transition.py clipA.mp4 clipB.mp4 output.mp4 (both clips need an audio track)
Needs ffmpeg, OpenCV and numpy (pip install opencv-python-headless numpy).
"""
import json
import math
import subprocess
import sys
import cv2
import numpy as np
D = 0.8 # transition length in seconds
BULGE = 1.5 # how much the center is magnified at the peak (1.5 = 2.5x); the corners stay put
SWAP = 0.2 # share of the transition, around the peak, over which A dissolves into B
def probe(path):
info = json.loads(subprocess.check_output(["ffprobe", "-v", "error", "-select_streams", "v:0", "-show_entries",
"stream=width,height,r_frame_rate:format=duration", "-of", "json", path]))
s = info["streams"][0]
num, den = s["r_frame_rate"].split("/")
return s["width"], s["height"], s["r_frame_rate"], float(num) / float(den), float(info["format"]["duration"])
def frames(path, start):
"""The transition's frames from path, starting at `start` seconds, fitted to A's size and frame rate."""
raw = subprocess.check_output(["ffmpeg", "-v", "error", "-ss", f"{start:.3f}", "-i", path, "-frames:v", str(n),
"-vf", f"scale={w}:{h}:force_original_aspect_ratio=increase,crop={w}:{h},fps={rate}",
"-f", "rawvideo", "-pix_fmt", "rgb24", "-"])
return [np.frombuffer(raw[i * w * h * 3:(i + 1) * w * h * 3], np.uint8).reshape(h, w, 3) for i in range(n)]
def bulged(img, k):
"""img seen through a fisheye: a pixel at radius r (1 = corner) samples the source at r * (1 + k r^2) / (1 + k)."""
scale = (1 + k * r2) / (1 + k)
return cv2.remap(img, (cx + dx * scale).astype(np.float32), (cy + dy * scale).astype(np.float32),
cv2.INTER_LINEAR, borderMode=cv2.BORDER_REFLECT)
def lens_frame(i):
"""Frame i: the bulge swells to BULGE and back (cosine ease), A dissolving into B around the peak."""
p = i / (n - 1)
k = BULGE * (1 - math.cos(2 * math.pi * p)) / 2
mix = min(max((p - 0.5) / SWAP + 0.5, 0), 1)
a, b = bulged(a_frames[i], k), bulged(b_frames[i], k)
return cv2.addWeighted(a, 1 - mix, b, mix, 0)
a_path, b_path, out = sys.argv[1:4]
w, h, rate, fps, a_len = probe(a_path)
n = round(D * fps)
offset = a_len - D
a_frames, b_frames = frames(a_path, offset), frames(b_path, 0)
# every output pixel's offset from the center, and its squared radius as a share of the corner distance
cx, cy = (w - 1) / 2, (h - 1) / 2
ys, xs = np.mgrid[0:h, 0:w].astype(np.float32)
dx, dy = xs - cx, ys - cy
r2 = (dx ** 2 + dy ** 2) / (cx ** 2 + cy ** 2)
# A up to the transition, the bulged frames, then B from where the transition ends; the sound crossfades over D
ff = subprocess.Popen(["ffmpeg", "-y", "-v", "error", "-i", a_path, "-i", b_path,
"-f", "rawvideo", "-pix_fmt", "rgb24", "-s", f"{w}x{h}", "-r", rate, "-i", "-",
"-filter_complex",
f"[0:v]trim=end={offset:.4f},setpts=PTS-STARTPTS,fps={rate},format=yuv420p,setsar=1[a];"
f"[1:v]scale={w}:{h}:force_original_aspect_ratio=increase,crop={w}:{h},fps={rate},"
f"trim=start={D},setpts=PTS-STARTPTS,format=yuv420p,setsar=1[b];"
f"[2:v]format=yuv420p,setsar=1[s];"
f"[a][s][b]concat=n=3:v=1:a=0[v];[0:a][1:a]acrossfade=d={D}[au]",
"-map", "[v]", "-map", "[au]", "-c:v", "libx264", "-crf", "18", "-pix_fmt", "yuv420p",
"-c:a", "aac", out], stdin=subprocess.PIPE)
for i in range(n):
ff.stdin.write(lens_frame(i).tobytes())
ff.stdin.close()
if ff.wait():
sys.exit("ffmpeg failed")





