nicepkg/video-to-gif
Convert video clips to optimized GIFs with speed control, cropping, text overlays, and file size optimization. Create perfect GIFs for social media, documentation, and presentations.
npx skills add https://github.com/nicepkg/ai-workflow --skill video-to-gif
Transform video clips into high-quality, optimized GIFs perfect for social media, documentation, tutorials, and presentations. Features precise timing control, text overlays, effects, and intelligent file size optimization.
from scripts.gif_workshop import GifWorkshop
# Basic conversion
workshop = GifWorkshop("video.mp4")
workshop.to_gif("output.gif")
# With options
workshop = GifWorkshop("video.mp4")
workshop.clip(start=5, end=10) # 5-10 seconds
workshop.resize(width=480) # Resize to 480px wide
workshop.set_fps(15) # 15 frames per second
workshop.optimize(max_size_kb=500) # Max 500KB
workshop.to_gif("output.gif")
from scripts.gif_workshop import GifWorkshop
# From file
workshop = GifWorkshop("video.mp4")
# With initial settings
workshop = GifWorkshop("video.mp4", fps=15, width=480)
# By time (seconds)
workshop.clip(start=5, end=15) # 5s to 15s
# By time string
workshop.clip(start="00:01:30", end="00:01:45") # 1:30 to 1:45
# From start or to end
workshop.clip(start=10) # From 10s to end
workshop.clip(end=5) # First 5 seconds
# Multiple clips
workshop.clip_multi([
(0, 3),
(10, 15),
(20, 25)
]) # Concatenates clips
# Speed up
workshop.speed(2.0) # 2x faster
# Slow motion
workshop.speed(0.5) # Half speed
# Reverse
workshop.reverse()
# Boomerang effect (forward then reverse)
workshop.boomerang()
# Resize by width (maintain aspect)
workshop.resize(width=480)
# Resize by height
workshop.resize(height=360)
# Exact dimensions
workshop.resize(width=480, height=360)
# Crop to region
workshop.crop(x=100, y=50, width=400, height=300)
# Crop to aspect ratio
workshop.crop_to_aspect(16, 9) # 16:9
workshop.crop_to_aspect(1, 1) # Square
# Simple text overlay
workshop.add_text(
"Hello World!",
position='bottom',
fontsize=24,
color='white'
)
# Text with timing
workshop.add_text(
"Watch this!",
position='top',
start_time=0,
end_time=3 # Show for first 3 seconds
)
# Multiple text overlays
workshop.add_text("Step 1", position='top-left', start_time=0, end_time=2)
workshop.add_text("Step 2", position='top-left', start_time=2, end_time=4)
# Caption bar
workshop.add_caption_bar(
"This is a caption",
position='bottom',
background='black',
padding=10
)
# Color filters
workshop.filter('grayscale')
workshop.filter('sepia')
# Adjustments
workshop.adjust(brightness=0.1, contrast=0.2)
# Fade in/out
workshop.fade_in(duration=0.5)
workshop.fade_out(duration=0.5)
# Blur
workshop.blur(intensity=2)
# Target file size
workshop.optimize(max_size_kb=500)
# Quality settings
workshop.optimize(
quality='medium', # 'low', 'medium', 'high'
colors=128 # Color palette size (2-256)
)
# Manual FPS control
workshop.set_fps(10) # Lower FPS = smaller file
# Lossy compression
workshop.optimize(lossy=80) # 0-100, higher = more compression
# Basic export
workshop.to_gif("output.gif")
# With options
workshop.to_gif(
"output.gif",
optimize=True,
colors=256,
loop=0 # 0 = infinite loop, 1+ = loop count
)
# Export as video (for comparison)
workshop.to_video("output.mp4")
# Export frames
workshop.export_frames("frames/", format='png')
# Social media presets
workshop.preset('twitter') # 512px wide, 5MB max
workshop.preset('discord') # 256px, 8MB max
workshop.preset('slack') # 480px, 5MB max
workshop.preset('reddit') # 720px, optimized
# Quality presets
workshop.preset('high') # High quality, larger file
workshop.preset('medium') # Balanced
workshop.preset('low') # Small file, lower quality
# Special presets
workshop.preset('thumbnail') # Small preview GIF
workshop.preset('reaction') # Reaction GIF (small, fast)
| Position | Description |
|----------|-------------|
| 'top' | Top center |
| 'bottom' | Bottom center |
| 'center' | Center of frame |
| 'top-left' | Top left corner |
| 'top-right' | Top right corner |
| 'bottom-left' | Bottom left corner |
| 'bottom-right' | Bottom right corner |
# Get best frame (thumbnail)
best_frame = workshop.get_best_frame()
best_frame.save("thumbnail.png")
# Extract frame at time
frame = workshop.get_frame_at(5.5) # Frame at 5.5 seconds
frame.save("frame.png")
# Extract all frames
workshop.export_frames("frames/", format='png')
info = workshop.get_info()
print(f"Duration: {info['duration']} seconds")
print(f"Size: {info['width']}x{info['height']}")
print(f"FPS: {info['fps']}")
print(f"Frames: {info['frame_count']}")
# Apply custom function to each frame
def custom_filter(frame):
# frame is a PIL Image
return frame.rotate(5)
workshop.apply_filter(custom_filter)
# Join multiple clips
workshop.concat([
"intro.mp4",
"main.mp4",
"outro.mp4"
])
# Basic conversion
python gif_workshop.py video.mp4 -o output.gif
# With clip selection
python gif_workshop.py video.mp4 -o output.gif --start 5 --end 15
# With options
python gif_workshop.py video.mp4 -o output.gif \
--width 480 \
--fps 15 \
--speed 1.5 \
--max-size 500
# With text
python gif_workshop.py video.mp4 -o output.gif \
--text "Hello World" \
--text-position bottom
# Apply preset
python gif_workshop.py video.mp4 -o output.gif --preset twitter
| Preset | Width | FPS | Colors | Use Case |
|--------|-------|-----|--------|----------|
| reaction | 256px | 10 | 64 | Quick reactions |
| low | 320px | 12 | 128 | Basic sharing |
| medium | 480px | 15 | 256 | General use |
| high | 640px | 20 | 256 | High quality |
| max | Original | 24 | 256 | Best quality |
from scripts.gif_workshop import GifWorkshop, GifError
try:
workshop = GifWorkshop("video.mp4")
workshop.clip(start=0, end=100) # May exceed video length
workshop.to_gif("output.gif")
except GifError as e:
print(f"Error: {e}")
except FileNotFoundError:
print("Video file not found")
moviepy>=1.0.3
Pillow>=10.0.0
imageio>=2.31.0
numpy>=1.24.0
Take nicepkg/video-to-gif from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.