realtime-avatars

Use this skill when you need deep verification of slide-5 interaction claims, continuous ArXiv/GitHub research on real-time social avatars, and self-evolving architecture guidance across MetaHuman, video generation, and Gaussian splatting.

Use this skill when you need deep, repeatable multimodal inputs/outputs research across MetaHuman, video generation, and Gaussian splatting, with auto-updated conclusions in deep-research-multimodal_inputs_outputs.md.

Use this skill when you need to proofread research-focused slides, validate claims against primary-source links, avoid hallucinated metrics, and persist repeatable evidence-check history for future cycles.

Use this skill when a task asks for deeper MetaHuman understanding from Unreal source, architecture/module/function extraction, continuous MetaHuman documentation refreshes, or cumulative memory across repeated analysis cycles.

Use this skill when you need deep, repeatable research on realtime Gaussian avatars, continuous ArXiv/GitHub tracking, and auto-updated conclusions in deep-research-Realtime-Gaussian Avatars.md.

Use this skill when you need to continuously collect the latest YouTube research/demo videos for realtime Gaussian avatar systems, publish a curated video-wall dataset, and keep a self-evolving memory of queries/channels over repeated cycles.