Does it provide hardware acceleration support?

Yes, the skill includes optimized commands for NVIDIA NVENC and Intel QSV to offload encoding tasks from the CPU during live streams.

Can I use this for multi-platform restreaming?

Absolutely. The skill provides patterns for taking a single source and splitting it into multiple RTMP/RTMPS destinations like YouTube and Twitch simultaneously.

How does it handle low-latency requirements?

It provides specialized configurations for LL-HLS, LL-DASH, and SRT, including fine-tuned segment durations and buffer settings to minimize delay.

Does this skill support the latest FFmpeg 8.0 features?

Yes, it specifically includes support for FFmpeg 8.0.1+ features, including the new WHIP (WebRTC-HTTP Ingestion Protocol) muxer for sub-second latency.

FFmpeg Live Streaming & Protocols

Name: FFmpeg Live Streaming & Protocols
Author: JosiahSiegel

byJosiahSiegel

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Herramientas para Desarrolladores

Automates the configuration of high-performance live streaming pipelines using FFmpeg 8.0+ for RTMP, HLS, SRT, and WebRTC workflows.

Acerca de

This skill transforms Claude into a specialized video engineer capable of architecting complex live streaming infrastructures. It provides production-ready commands for modern protocols including RTMP, HLS, DASH, SRT, and the latest WHIP (WebRTC) standards introduced in FFmpeg 8.0. Whether you are broadcasting to major platforms like Twitch and YouTube, building adaptive bitrate (ABR) ladders for CDNs, or implementing sub-second latency via LL-HLS and SRT, this skill ensures optimal quality and reliability. It also handles advanced scenarios such as hardware acceleration (NVENC/QSV), secure encryption, and multi-destination restreaming, all while adhering to platform-specific ingest requirements.

Características Principales

Ultra-low latency optimization for LL-HLS and LL-DASH workflows
Automated Adaptive Bitrate (ABR) encoding ladder generation
7 GitHub stars
Comprehensive protocol support for RTMP, HLS, DASH, SRT, and WHIP
Hardware-accelerated encoding profiles for NVIDIA and Intel GPUs
Multi-destination restreaming and protocol conversion patterns

Casos de Uso

Configuring secure, reliable remote contribution links using the SRT protocol
Broadcasting live feeds to social media platforms like Twitch, YouTube, and Facebook
Setting up low-latency WebRTC ingestion for interactive video applications

Acerca de

Características Principales

Ultra-low latency optimization for LL-HLS and LL-DASH workflows
Automated Adaptive Bitrate (ABR) encoding ladder generation
7 GitHub stars
Comprehensive protocol support for RTMP, HLS, DASH, SRT, and WHIP
Hardware-accelerated encoding profiles for NVIDIA and Intel GPUs
Multi-destination restreaming and protocol conversion patterns

Casos de Uso

Configuring secure, reliable remote contribution links using the SRT protocol
Broadcasting live feeds to social media platforms like Twitch, YouTube, and Facebook
Setting up low-latency WebRTC ingestion for interactive video applications