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deepstream-profile-pipeline

Profile a DeepStream pipeline with Nsight Systems and derive its configs from the measurement. Use when the user asks for an efficient, performant, or profiled pipeline — or to benchmark, tune, or measure FPS.

skills/deepstream-profile-pipeline/SKILL.md

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# DeepStream Profiling Skill

Profile-driven pipeline creation. When the user indicates they want an efficient DeepStream
pipeline, this skill replaces guesswork with two measured numbers — **inference plateau
batch** and **HW ceiling** — and derives every other config from them. Then it profiles the
E2E pipeline with Nsight Systems and reports per-plugin NVTX timings.

**Model- and pipeline-agnostic.** The skill assumes only that the inference element is
`nvinfer` or `nvinferserver` (so model dims, precision, and batch knobs are settable through
the standard config). It works for detection (with or without tracker), classification,
segmentation, VLM, and embedding pipelines. Source can be file, RTSP, USB camera, or any
mix. The skill reads the user's actual config to discover model dims / target FPS / source
properties — it does NOT assume any particular model, codec, or resolution.