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Run and operate the DeepStream Multi-View 3D Tracking reference app, also known as MV3DT.
Passed 15 of 20 test cases with the skill, and 3 of 20 without it.
and 17 more in the full report
14 fixed3 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
I need to check whether Docker GPU support, Mosquitto, and the required Python virtual environment are ready on my host machine. Which reference document should be loaded?
| Checked | Without skill | With skill |
|---|---|---|
| Loads references/setup.md for checking system prerequisites. | Missed | Passed |
The instructions your model reads when the skill loads.
Activate this skill when the user wants to set up, run, verify, or debug the DeepStream Multi-View 3D Tracking reference app. Typical prompts:
Do not use this skill for single-view 3D tracking, generic DeepStream app development, or live-stream onboarding unless the user explicitly maps that work to this repo's MV3DT pipeline.
Operate the Multi-View 3D Tracking reference app in DeepStream/src/apps/reference_apps/deepstream-tracker-3d-multi-view using the DeepStream Container path. The skill supports setup, shipped sample runs, custom synchronized MP4 datasets, calibration handoff to AutoMagicCalib, display/headless execution, OSD/BEV outputs, and Kafka metadata inspection.
DeepStream/src/apps/reference_apps/deepstream-tracker-3d-multi-view; if it is absent, ask before cloning the public DeepStream repomv3dt_venv prepared by the repo setup scriptThe skill can be installed outside the DeepStream repo. Resolve REPO_ROOT to the MV3DT app directory, not necessarily the Git top-level directory.
test cases passed, vs 3 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.