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Deprecated alias (merged into diffusion-kernel).
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Step-by-step tutorial for adding a new lightweight JIT CUDA kernel to sglang's jit_kernel module
Step-by-step tutorial for adding a heavyweight AOT CUDA/C++ kernel to sgl-kernel (including tests & benchmarks)
Guide for writing SGLang CI/UT tests following project conventions. Covers CustomTestCase, CI registration, server fixtures, model selection, and test placement. Use when creating new tests, adding CI test cases, writing unit tests, or when the user asks to add tests for SGLang features.
Index for SGLang Diffusion kernel development skills.
| name | diffusion-perf |
| description | Deprecated alias (merged into diffusion-kernel). |
| user-invocable | false |
| allowed-tools | Bash, Read |
| argument-hint | <model-path> [--prompt "..."] [--baseline baseline.json] |
This skill has been merged into the canonical docs under diffusion-kernel:
../diffusion-kernel/diffusion-benchmark-and-profile.md → Perf dump & before/after compareFollow that document as the single source of truth:
sglang generate ... --warmup --perf-dump-path <file>.jsonpython python/sglang/multimodal_gen/benchmarks/compare_perf.py <baseline.json> <new.json> to generate a PR-ready comparison table