Capture per-kernel CUDA hardware-counter data (occupancy, achieved warps active, regs/thread, smem/block, DRAM throughput, arithmetic intensity, branch divergence %, warp-stall reason %) from a live vLLM inference pod via an ncu debug sidecar (no production image rebuild). Outputs .ncu-rep + per-kernel CSV. Scoped via --kernel-name to avoid the 10-100x kernel-replay slowdown that an unscoped ncu attach would impose on serving. Pairs with inference-kernel-profile (nsys: absolute kernel duration + cuda-graph timeline) and zymtrace-anchored-query (sample- share + kernel-name resolution). Triggers on "ncu", "nsight compute", "kernel internals", "occupancy", "register pressure", "shared memory", "DRAM bandwidth", "roofline", "arithmetic intensity", "warp stalls", "branch divergence", or any combination of "ncu / nsight-compute / occupancy / regs / smem / dram / roofline" with "vllm / kimi / glm / deepseek / inference".
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryGeneralStars0
About this skill
Capture per-kernel CUDA hardware-counter data (occupancy, achieved warps active, regs/thread, smem/block, DRAM throughput, arithmetic intensity, branch divergence %, warp-stall reason %) from a live vLLM inference pod via an ncu debug sidecar (no production image rebuild). Outputs .ncu-rep + per-kernel CSV. Scoped via --kernel-name to avoid the 10-100x kernel-replay slowdown that an unscoped ncu attach would impose on serving. Pairs with inference-kernel-profile (nsys: absolute kernel duration + cuda-graph timeline) and zymtrace-anchored-query (sample- share + kernel-name resolution). Triggers on "ncu", "nsight compute", "kernel internals", "occupancy", "register pressure", "shared memory", "DRAM bandwidth", "roofline", "arithmetic intensity", "warp stalls", "branch divergence", or any combination of "ncu / nsight-compute / occupancy / regs / smem / dram / roofline" with "vllm / kimi / glm / deepseek / inference".
Quick start
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Capture per-kernel CUDA hardware-counter data (occupancy, achieved warps active, regs/thread, smem/block, DRAM throughput, arithmetic intensity, branch divergence %, warp-stall reason %) from a live vLLM inference pod via an `ncu` debug sidecar (no production image rebuild). Outputs `.ncu-rep` + per-kernel CSV. Scoped via `--kernel-name` to avoid the 10-100x kernel-replay slowdown that an unscoped ncu attach would impose on serving. Pairs with `inference-kernel-profile` (nsys: absolute kernel duration + cuda-graph timeline) and `zymtrace-anchored-query` (sample- share + kernel-name resolution). Triggers on "ncu", "nsight compute", "kernel internals", "occupancy", "register pressure", "shared memory", "DRAM bandwidth", "roofline", "arithmetic intensity", "warp stalls", "branch divergence", or any combination of "ncu / nsight-compute / occupancy / regs / smem / dram / roofline" with "vllm / kimi / glm / deepseek / inference".
About this listing
Category
General
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI