visual-memory

To embed images as base64 data URIs, you resize reference photos to a 512px longest edge at 85% JPEG quality, then convert them into base64 strings for structured JSON memory storage. This ensures portable, self-sufficient media generation.

AI character generation skills break because they rely on external file paths that change. Embedding media directly within the skill's directory as base64 data URIs eliminates external dependencies, ensuring consistent operation across all environments.

Yes, you can embed voice samples as internal references within a skill's directory. By converting audio media into base64 data URIs or structured JSON memory, voice cloning becomes self-sufficient and works without external dependencies.

The best way to maintain consistent video style application is embedding video style templates directly within the skill's directory. By storing templates as base64 data URIs or internal references, the skill becomes portable and operates reliably anywhere.

Yes, embedding media requires image optimization before base64 conversion. You must prepare reference photos by resizing them to a 512px longest edge at 85% JPEG quality to ensure efficient storage and structured JSON memory generation.

The limitation of using base64 data URIs for embedded media is file size inflation, requiring strict image optimization like resizing to 512px at 85% JPEG quality. This approach is best for small reference files rather than large video templates.