Image and Video GIF Maker

Problem

When producing GIFs, engineers often work with three source types: image sequences, video clips, and screen recordings. Manual export, frame-rate tuning, size compression, and dimension matching can cause mismatched sizes, flicker, oversized files, or slow previews.

How it works

This skill uses Python scripts to convert source media into loopable GIFs that can be embedded in docs or pages. Core capabilities include:
- Image sequence GIF: reads static frames in order and exposes duration, loop, optimize, and quality settings.
- Video-to-GIF: uses a pure-Python imageio path or a faster FFmpeg path to extract clips and output GIFs.
- Screen-recording GIF: captures a defined screen area on Windows and composes an animated GIF.
- Command-line helper: wraps common parameters in gif.py to reduce repetitive parameter handling.

Boundaries

Output size and frame rate depend on source resolution, sampled frame count, and color depth; optimize and quality should be balanced against file size and visual fidelity. Screen recording is primarily for Windows, and the FFmpeg path requires a local ffmpeg executable.