Convert a video file into multiple GIF variants with different parameters, so the user can visually compare and pick the best one.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionvideo-to-gifExecute the skills CLI command in your project's root directory to begin installation:
Fetches video-to-gif from zc277584121/marketing-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate video-to-gif. Access via /video-to-gif in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Convert a video file into multiple GIF variants with different parameters, so the user can visually compare and pick the best one.
Prerequisite: FFmpeg and uv must be installed. gifsicle is optional (enables lossy compression variants).
The user wants to create a GIF from a video clip but isn't sure about the right parameters. GIF quality involves tradeoffs between:
Rather than guessing, this skill generates multiple variants and lets the user decide.
When the user provides a video file:
uv run --python 3.12 /path/to/skills/video-to-gif/scripts/video_to_gif.py <input.mp4>
This generates GIFs in <input>_gifs/ directory with the full preset (18 variants):
Output includes a sorted comparison table showing file size, FPS, width, and colors for each variant.
| Preset | Variants | Best For |
|---|---|---|
full |
~18 | General use — broad exploration of the parameter space |
minimal |
~4 | Quick comparison — just a few key tradeoff points |
lossy |
~12 | Smallest files — includes gifsicle lossy compression levels |
quality |
~12 | Best visuals — higher res, includes bayer dithering |
# Quick comparison with fewer variants
uv run --python 3.12 .../video_to_gif.py input.mp4 --presets minimal
# Include lossy compression (requires gifsicle)
uv run --python 3.12 .../video_to_gif.py input.mp4 --presets lossy
# Higher quality focus
uv run --python 3.12 .../video_to_gif.py input.mp4 --presets quality
| Flag | Default | Description |
|---|---|---|
-o, --output-dir |
<input>_gifs/ |
Output directory for all GIF variants |
--start |
none | Start time in seconds (trim source) |
--end |
none | End time in seconds (trim source) |
--presets |
full |
Preset config: full, minimal, lossy, quality |
--fps |
preset | Override FPS values (e.g., --fps 10 15 20) |
--width |
preset | Override width values (e.g., --width 480 640) |
--colors |
preset | Override color counts (e.g., --colors 128 256) |
--lossy |
preset | Gifsicle lossy levels (e.g., --lossy 0 30 80) |
# Convert first 10 seconds of a video
uv run --python 3.12 .../video_to_gif.py demo.mp4 --end 10
# Extract a specific segment
uv run --python 3.12 .../video_to_gif.py demo.mp4 --start 5 --end 15
# Custom parameter sweep
uv run --python 3.12 .../video_to_gif.py demo.mp4 --fps 12 15 --width 480 800 --colors 256
# Lossy compression comparison (needs gifsicle)
uv run --python 3.12 .../video_to_gif.py demo.mp4 --lossy 0 30 60 100
After running, open the output directory and compare:
The sweet spot for most screen recordings is usually around 640px, 15fps, 256 colors.
--start/--end first — GIFs over 10 seconds can get very large.Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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We added video-to-gif from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for video-to-gif matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend video-to-gif for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
video-to-gif reduced setup friction for our internal harness; good balance of opinion and flexibility.
video-to-gif is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: video-to-gif is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: video-to-gif is focused, and the summary matches what you get after install.
video-to-gif has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: video-to-gif is the kind of skill you can hand to a new teammate without a long onboarding doc.
video-to-gif is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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