SGLang · For developers

Step-by-step tutorial for adding a new lightweight JIT CUDA kernel to sglang.kernels JIT infrastructure and public operator groups

sgl-project/sglang

Guide for using SLIME (LLM post-training framework for RL Scaling).

yzlnew/infra-skills

Runs deterministic byte-parity and paired performance campaigns for Dynamo offline KV-aware replay across native-G1 vLLM and SGLang configurations, including forced scheduler-pressure and…

ai-dynamo/dynamo

Configures Hyperloom after pip install --target . An agent skill from AMD-AGI/Hyperloom.

AMD-AGI/Hyperloom

Measure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data.

NVIDIA/skills

Pick the serving stack and per-runtime memory flags (vLLM, SGLang, llama.cpp, TensorRT Edge-LLM) for an LLM/VLM workload on any NVIDIA Jetson.

NVIDIA/skills

RL post-training for LLMs with Megatron and SGLang. An agent skill from Luciole-Studio/Misaka-Agent.

Luciole-Studio/Misaka-Agent

Stand up vLLM or SGLang serving on Jetson, using upstream vLLM on Thor and Orin JetPack 7.2+, and NVIDIA-AI-IOT vLLM on older Orin.

NVIDIA/skills

Cross-engine decision rubric for self-hosting or recommending an LLM serving stack.

agentsope/SkillAlchemy

Decision SOP for serving LLMs with vLLM. An agent skill from agentsope/SkillAlchemy.

agentsope/SkillAlchemy

Serve a Hugging Face model with SGLang on a Linux machine with an NVIDIA or AMD GPU, configured from the model's SGLang cookbook page — or, when it has none, from the model's own files — and join it…

autonomous-ai/openharness

Replay an LLM inference request trace (Mooncake / vLLM / SGLang hashids format) against a block-level KV prefix cache and compute hit statistics.

benchflow-ai/skillsbench

End-to-end LLM accuracy evaluation on AMD ROCm (ROCm-only) — container setup, vLLM/SGLang/ATOM serving, lm-eval / lighteval / evalscope benchmarks.

amd/Quark

LLM and multimodal serving systems. An agent skill from uw-syfi/vibesys.

uw-syfi/vibesys

自动化 verl msprobe 精度数据采集；开始前检查/预装 msprobe（pip install mindstudio-probe）。自动识别三种模式：(1) 训练采集——globalprofiler + precisiondebugger stages；(2) 推理采集——vLLM/SGLang rollout dump；(3) 训推一致性——engine patch +…

ascend-ai-coding/awesome-ascend-skills

模型层 Tensor 打点与精度对比工具。用于在模型 forward 过程中捕获模型各层中间 tensor，实现 GPU/NPU 精度对比调试。支持 vLLM、SGLang 推理框架。When to use： When you need to debug precision issues between GPU and NPU,or validate layer-wise tensor…

ascend-ai-coding/awesome-ascend-skills