[diffusion] move skills dir (#19697)

python/sglang/multimodal_gen/.claude/skills/diffusion-kernel/SKILL.md

@@ -0,0 +1,35 @@
+---
+name: diffusion-kernel
+description: Index for SGLang Diffusion kernel development skills.
+---
+
+# Diffusion Kernel Skills
+
+## Directory Layout
+
+```
+python/sglang/multimodal_gen/.claude/skills/diffusion-kernel/
+├── SKILL.md
+├── add-triton-kernel.md
+├── diffusion-benchmark-and-profile.md
+├── nsight-profiler.md
+└── use-efficient-diffusion-kernels.md
+```
+
+## Index
+
+- [add-triton-kernel.md](./add-triton-kernel.md)
+
+  Step-by-step guide for adding a new Triton kernel to SGLang Diffusion's `jit_kernel` module, including authoring, autotune, `torch.compile` compatibility, integration, and tests.
+
+- [use-efficient-diffusion-kernels.md](./use-efficient-diffusion-kernels.md)
+
+  Practical guidance for using SGLang Diffusion fused kernels and fast CUDA paths, including constraints, fallbacks, and where the fused ops are wired into the runtime.
+
+- [diffusion-benchmark-and-profile.md](./diffusion-benchmark-and-profile.md)
+
+  End-to-end benchmarking and profiling guide for SGLang Diffusion models, including denoise latency measurement, per-layer breakdown, and regression tracking.
+
+- [nsight-profiler.md](./nsight-profiler.md)
+
+  Advanced profiling skill for NVIDIA Nsight Systems / Nsight Compute: collecting traces, reading reports, and interpreting kernel-level performance metrics.