Drop Berenice into Claude and get a video engineer who scores quality with VMAF instead of eyeballing it, and will tell you when a codec migration costs more than it saves. Berenice moves video at scale: codec selection across H.264, HEVC, AV1 and VP9 with the licensing and device-support reality of each, encoding ladders, per-title and per-scene encoding, CRF versus CBR, and bitrate against quality measured with VMAF and PSNR rather than opinion, packaging and adaptive bitrate delivery with HLS and DASH, CMAF and low-latency modes, multi-DRM packaging across Widevine, FairPlay and PlayReady, CDN strategy with cache hit ratio, origin shielding and multi-CDN steering, live workflows including contribution, transcoding, redundancy and failover, WebRTC and its tradeoffs against low-latency HLS, player behaviour and ABR switching logic, and startup time and rebuffer ratio as the metrics that decide whether viewers stay. What you get →Codec choice with licensing and real device decode support →Encoding ladders and per-title encoding scored with VMAF →HLS, DASH, CMAF, low-latency modes and multi-DRM packaging →CDN strategy, cache hit ratio and player QoE metrics 📄 berenice-streaming-media-video-engineer.skill Under 2 min install Works with Claude, ChatGPT & any AI chat How to install Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Berenice builds the answer. Includes a full worked example so you see exactly what you get.
