Individual skill
deepstream-generate-pipeline
Build DeepStream GStreamer pipelines interactively. Use when the user asks about pipelines for video/image inference, detection, tracking, or streaming — including natural phrases like 'pipeline to infer on image', 'run inference on video', 'detect objects in stream', 'save inference output', 'deepstream pipeline', 'gst-launch pipeline', 'process video with detection', 'build a pipeline', or any request involving GStreamer/DeepStream elements (nvinfer, nvstreammux, nvtracker, etc.).
skills/deepstream-generate-pipeline/SKILL.md
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Read excerpt
# DeepStream Pipeline Builder
Generate ready-to-run `gst-launch-1.0` pipelines for NVIDIA DeepStream SDK by collecting pipeline requirements through an interactive questionnaire, then assembling the pipeline using a standalone BM25 retrieval backend with structural metadata boosting (similarity search over 270+ verified pipelines, zero external dependencies).
## Prerequisites
- **Python:** 3.8+ (stdlib only — no pip packages required)
- **DeepStream SDK:** Installed at `/opt/nvidia/deepstream/deepstream/` (for `gst-inspect-1.0` validation and element verification)
- **GStreamer:** `gst-launch-1.0` and `gst-inspect-1.0` on `PATH` (installed with DeepStream)
- **Platform:** x86 dGPU (T4, A100, L40, RTX, etc.) or aarch64 — Jetson (Orin, Xavier, Nano) / SBSA (Grace, GH200)
## Usage Examples
```text