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Build DeepStream GStreamer pipelines interactively.
Passed 16 of 19 test cases with the skill, and 6 of 19 without it.
and 9 more in the full report
12 fixed6 passed either way3 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
What command-line flag does the dataset linter script accept to automatically repair duplicates and syntax errors in data/data.csv?
| Checked | Without skill | With skill |
|---|---|---|
| Passes the --fix flag to scripts/lint_data.py. | Missed | Passed |
The instructions your model reads when the skill loads.
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).
/opt/nvidia/deepstream/deepstream/ (for gst-inspect-1.0 validation and element verification)gst-launch-1.0 and gst-inspect-1.0 on PATH (installed with DeepStream)# Fully specified — skips most questions
detect and track on 4 rtsp streams and display on jetson
# Partially specified — asks remaining questions
give me a pipeline to infer on an image
# Minimal — asks all 7 questions
build a pipeline
| Parameter | Options |
|---|---|
| Input | Local video (.mp4/.h264/.h265), local image (.jpg/.png), RTSP stream, USB camera, test pattern |
| Inference | None, primary (nvinfer), primary+secondary, with preprocessor, Triton (nvinferserver) |
| Tracker | None, NvDCF, IOU, NvSORT, DeepSORT |
| Sink | Display (dGPU/Jetson), save (JPG/PNG/MP4/H264), RTSP out, fakesink |
| Platform | x86 dGPU (T4, A100, L40, RTX, etc.) or aarch64 — Jetson (Orin, Xavier, Nano) / SBSA (Grace, GH200) |
| Extras | Resize, rotate/flip, crop, color format conversion |
| Script | Purpose |
|---|---|
scripts/generate_pipeline.py | BM25 retrieval engine — scores and ranks pipelines from data/data.csv. Supports --format {json,compact,summary} (default json) |
test cases passed, vs 6 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.