deepstream-profile-pipeline

# 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. > **Constraint.** Terminal only. Use `nsys profile` to capture and `nsys stats` to extract. > Do not depend on Nsight Lens or any GUI. ## When to trigger Activate this skill **at pipeline creation time** when the user's ask carries efficiency intent. Concrete triggers: - "build an **efficient** / **fast** / **performant** / **optimized** pipeline" - "give me a pipeline that runs well on this GPU" - "benchmark / profile / measure / tune / optimize this pipeline" - "I want to run N streams at M FPS" - "how many streams can this GPU handle" - user explicitly asks for `nsys` or Nsight For plain ...