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Video Pipeline Rocm

Category: Content  ·  Sub-category: video  ·  Last updated:
Pipeline de inferencia sobre video en tiempo real o batch usando GStreamer + ROCm/CUDA. Captura video desde RTSP, archivos o cámara, decodifica con aceleración HW (AMD VCN / NVIDIA NVDEC / CPU), extrae frames, ejecuta inferencia con YOLO/VLM, produce JSON, video anotado o RTMP push. Multi-backend con detección automática, preprocesamiento, inferencia batch. Use this skill when building video inference pipelines with GStreamer, processing RTSP streams with YOLO, or extracting frames with hardware acceleration. / Útil al construir pipelines de inferencia de video con GStreamer, procesar streams RTSP con YOLO, o extraer frames con aceleración hardware. Keywords: gstreamer, rocm, video, pipeline, inference, vcn, amd, nvidia, cuda, rtsp, transcoding, yolo, vlm, frame-extraction, video-analytics, vaapi, nvdec, hw-acceleration, video-decode, streaming, computer-vision, pytorch, hip, gpu-video, v4l2, appsink
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From the source SKILL.md

Pipeline de inferencia sobre video en tiempo real o batch usando GStreamer para captura y decodificación, con aceleración hardware en AMD ROCm (VCN/VAAPI) o NVIDIA CUDA (NVDEC/NVENC), y fallback a CPU por software.

What this skill does

Video Pipeline Rocm is a community-contributed Claude Code skill in the video sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/video-pipeline-rocm/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Video Pipeline Rocm Claude Code skill is built for content creators, marketers, copywriters, SEO professionals, and editorial teams. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 147,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/video-pipeline-rocm
curl -L https://claudskills.com/skills/video-pipeline-rocm/SKILL.md \
  -o ~/.claude/skills/video-pipeline-rocm/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/video-pipeline-rocm/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/video-pipeline-rocm/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\video-pipeline-rocm\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

Frequently asked questions

How do I install the Video Pipeline Rocm Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/video-pipeline-rocm/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Video Pipeline Rocm skill do?
Pipeline de inferencia sobre video en tiempo real o batch usando GStreamer + ROCm/CUDA. Captura video desde RTSP, archivos o cámara, decodifica con aceleración HW (AMD VCN / NVIDIA NVDEC / CPU), extrae frames, ejecuta inferencia con YOLO/VLM, produce JSON, video anotado o RTMP push. Multi-backend con detección automática, preprocesamiento, inferencia batch. Use this skill when building video inference pipelines with GStreamer, processing RTSP streams with YOLO, or extracting frames with hardware acceleration. / Útil al construir pipelines de inferencia de video con GStreamer, procesar streams RTSP con YOLO, o extraer frames con aceleración hardware. Keywords: gstreamer, rocm, video, pipeline, inference, vcn, amd, nvidia, cuda, rtsp, transcoding, yolo, vlm, frame-extraction, video-analytics, vaapi, nvdec, hw-acceleration, video-decode, streaming, computer-vision, pytorch, hip, gpu-video, v4l2, appsink
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Video Pipeline Rocm skill?
Use Video Pipeline Rocm when your Claude Code task falls under the Content category — specifically in the video area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Video Pipeline Rocm" or describe the task and let Claude pick). Browse related skills at /category/content/.
What is a Claude Code skill and how does the Video Pipeline Rocm skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Video Pipeline Rocm is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Content category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
yechua-silva. (2026). Video Pipeline Rocm [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/video-pipeline-rocm/
BibTeX
@misc{video-pipeline-rocm-2026,
  author    = {yechua-silva},
  title     = {Video Pipeline Rocm [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/video-pipeline-rocm/}
}

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Security scan

Grade A · scanned 2026-07-10 — free static scan against the OWASP Agentic Skills Top 10.

The scan flagged 1 of 10 categories (network), including lower-severity patterns. Patterns shown inside code fences are weighted as examples rather than instructions — read the grading methodology for what this does and does not guarantee.

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