vLLM agent skills, page 4

Auto-scale LLM inference clusters on Kubernetes using KEDA, custom GPU metrics, and horizontal pod autoscaling.

BagelHole/DevOps-Security-Agent-Skills

Deploy and serve LLMs with vLLM — OpenAI-compatible inference server with PagedAttention, continuous batching, and quantization support.

AlexAI-MCP/hermes-CCC

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

uw-syfi/vibesys

AISBench Benchmark - AI model evaluation tool for Ascend NPU.

ascend-ai-coding/awesome-ascend-skills

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

Use this vLLM sub-skill for structured outputs, JSON/regex/grammar constraints, tool calling, reasoning parsers, chat-template/tool-parser routing, streaming tool-call deltas, and parser/backend…

VectorSpaceLab/AREX-Skill

昇腾 NPU 平台 vLLM 大模型推理服务一键部署。触发：用户说'部署 模型名'、'NPU 部署模型'、'vllm serve'。流程：SSH检查 → NPU检查 → 配置发现(必须验证) → 用户确认 → 部署 → cron监控 → 验证。约束：(1) 配置必须从官方文档验证，禁止猜测；(2) 后台启动必须用cron监控，禁止手动轮询。支持…

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

Deploy vLLM inference services on Ascend NPU servers with automatic model detection and optimized configuration.

ascend-ai-coding/awesome-ascend-skills

Reference guide for using external AI models via claudish CLI.

MadAppGang/claude-code

Run local evaluations for Hugging Face Hub models with inspect-ai or lighteval.

majiayu000/claude-skill-registry

Build and operate Retrieval-Augmented Generation (RAG) infrastructure with vector stores, embedding pipelines, and hybrid search.

majiayu000/claude-skill-registry

Stand up a PUBLIC, shareable inference endpoint for an HF/gs model on an Iris TPU so people on the internet can vibe-test it in a browser or via an OpenAI-compatible API.

open-thoughts/OpenThoughts-Agent

A skill your agent uses when choosing an open-weight LLM and clearing it for use — which family and size fit the task, the hardware and the budget, and above all whether the license permits shipping.

ericrisco/rsc-harness

A skill your agent uses when fine-tuning an open-weight LLM fast on ONE GPU with low VRAM — Unsloth's fast model loaders with 4-bit QLoRA and the trl trainer, response-only loss masking so the…

ericrisco/rsc-harness

Plan and execute production ML engineering work — model training and fine-tuning (LoRA/QLoRA), evaluation and eval-set design, quantization decisions, inference deployment, lineage, feature parity…

magnus919/agent-skills

Full pipeline where an agent team collaborates to develop an LLM app.

revfactory/harness-100

LLM workloads on open-source Ray (pinned to 2.57) — OpenAI-compatible serving with ray.serve.llm (vLLM-backed LLMConfig + buildopenaiapp) and batch inference with ray.data.llm (buildprocessor).

pproenca/dot-skills

LLM serving expert: vLLM, TensorRT-LLM, Triton Inference Server, quantization (INT8/FP8/GPTQ/AWQ), continuous batching, PagedAttention, KV cache management.

theneoai/awesome-skills