SGLang agent skills, page 2

Bump Heron version via the VERSION-file SSOT. An agent skill from Netis/heron.

Netis/heron

How SGLang's runtime configuration and process-global state are organized (RuntimeContext tiers, publish + namespace config bags, the pristine ServerArgs seed, override entry points…

sgl-project/sglang

Run and troubleshoot the inference backends on the DGX Spark pair that FastLLM proxies to — starting or stopping models with vLLM, SGLang or sparkrun, choosing memory and speculative-decoding…

azrtydxb/Fastllm-proxy

Sync documentation with project state using ICAV workflow. An agent skill from Netis/heron.

Netis/heron

Breaks LLM torch profiler traces down by forward pass, layer and kernel, with timing tables and Perfetto time ranges for the layers you want to inspect.

BBuf/AI-Infra-Auto-Driven-SKILLS

Workflow for upgrading/integrating cache-dit in SGLang diffusion (multimodalgen): DBCache, DMD calibrator, TaylorSeer, SVDQuant DQ; porting upstream PRs and resolving conflicts against the…

sgl-project/sglang

Autonomously optimizes end-to-end LLM inference throughput on AMD Instinct GPUs and reports a validated gain, using the Hyperloom multi-agent optimizer.

amd/skills

Compares SGLang, vLLM, TensorRT-LLM and TokenSpeed on one model and workload, searching server flags to find the best deployment command within a latency SLA.

BBuf/AI-Infra-Auto-Driven-SKILLS

Capture torch.profiler traces on a running FlashRec server. An agent skill from sohu-mptc/FlashRec.

sohu-mptc/FlashRec

Run a 4-hour multi-node Hyperloom Qwen3-30B-A3B optimization (Infera PD-disaggregated or RayJob aggregated) with --nodes 2 and sglang MoE tuning on MI325X.

AMD-AGI/Hyperloom

Benchmarks LLM inference and drives GPU kernel optimization with Magpie.

amd/skills

Audit the existing test tree and CI configuration for improvements, using a catalog of patterns previously applied in this repo.

sgl-project/sglang

A skill your agent uses when an SGLang, vLLM, TensorRT-LLM, or TokenSpeed serving/model optimization task needs prior model-family PR evidence.

BBuf/AI-Infra-Auto-Driven-SKILLS

Upgrade focused runtime dependencies in AReaL. An agent skill from areal-project/AReaL.

areal-project/AReaL

Audit SGLang startup logs, save evidence, and propose cleanup for user review.

sgl-project/sglang

Hold / release GPUs by running a standard SGLang inference server on them (lab convention — occupy a card with a real serving job that fills ~all of its memory AND is driven at stable near-full…

cua-lite/cua-lite

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

Apply the SGLang kernels RFC when adding, moving, splitting, or reviewing kernel APIs, registry metadata, kernel tests, benchmarks, and model-specific implementations.

sgl-project/sglang

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

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

Luciole-Studio/Misaka-Agent

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

Generate videos using a local SGLang-Diffusion server (Wan2.2, Hunyuan, FastWan, etc.).

LeoYeAI/openclaw-master-skills

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