Generate animated GIFs from programmatically composed frames with Python.
npx skills add https://github.com/narcisolcf/skills_claude_narciso --skill pca-gif-maker
Please help me install this Agent Skill. Skill: pca-gif-maker Source: https://github.com/narcisolcf/skills_claude_narciso/tree/main/pca-gif-maker Command: npx skills add https://github.com/narcisolcf/skills_claude_narciso --skill pca-gif-maker
This Skill enables programmatic creation of lightweight, web-optimized GIFs to animate ideas and highlights in PCA documentation.
Import the GIF builder and compose frames, then save as a GIF: from core.gif_builder import GIFBuilder builder = GIFBuilder(;width=500, height=120, fps=15) builder.add_frame(frame1) builder.add_frame(frame2) builder.deduplicate_frames() builder.write("output.gif")
High-intent search queries and answers about installing and using this skill.
Animated GIFs can be created programmatically by composing individual frames and encoding them with a GIF builder. This Skill uses Pillow and imageio to render frames with text, shapes, and gradients, then outputs optimized GIFs suitable for web and documentation.
Yes, this Skill supports frame composition with text animation, dynamic shapes, and gradient backgrounds. You build frames individually using a frame composer, then deduplicate and encode them into a single optimized GIF.
Color quantization and frame deduplication reduce file size while maintaining visual quality. This Skill validates Slack compatibility and applies these optimizations automatically during GIF encoding to produce lightweight, documentation-ready output.
Yes, imageio-ffmpeg is required as a dependency alongside Pillow and numpy. It enables efficient encoding of frame sequences into GIF format with color optimization and deduplication.
Yes, the frame-based approach enables full automation. Define frame content programmatically, compose them with text and shapes, then export to web-optimized GIFs ready for embedding in documentation and UI demonstrations.
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