LLM inference and serving

Run quantized LLMs locally with llama.cpp — CPU+GPU inference, GGUF format, OpenAI-compatible server, and Python bindings.

AlexAI-MCP/hermes-CCC

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

AlexAI-MCP/hermes-CCC

Build model quantization tool operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.

jeremylongshore/tons-of-skills-marketplace

Deploy KServe InferenceService on CoreWeave with autoscaling and GPU scheduling.

jeremylongshore/tons-of-skills-marketplace

Set up local development workflow for CoreWeave GPU deployments.

jeremylongshore/tons-of-skills-marketplace

Optimize CoreWeave GPU inference latency and throughput. An agent skill from jeremylongshore/tons-of-skills-marketplace.

jeremylongshore/tons-of-skills-marketplace

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

BagelHole/DevOps-Security-Agent-Skills

Reduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies.

BagelHole/DevOps-Security-Agent-Skills

Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server.

BagelHole/DevOps-Security-Agent-Skills

Papers on LLMs for IT operations and AIOps research. An agent skill from wentorai/research-plugins.

wentorai/research-plugins

Route AI coding queries to local LLMs in air-gapped networks.

hoodini/ai-agents-skills

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

uw-syfi/vibesys

Coaches end-to-end ML system design interviews covering inference pipelines, recommendation systems, RAG, feature stores, and monitoring.

curiositech/some_claude_skills

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

Cloudflare Workers AI for serverless GPU inference. An agent skill from secondsky/claude-skills.

secondsky/claude-skills

Use this sub-skill for Torch-TensorRT model compilation, dynamic input planning, torch.export workflows, save/load formats, raw TensorRT engines, and compile-time troubleshooting.

VectorSpaceLab/AREX-Skill

Use torchtune generation, Eleuther evaluation, and quantization workflows safely after checkpoints exist.

VectorSpaceLab/AREX-Skill

Use this sub-skill for Torch-TensorRT runtime performance controls, CUDA Graphs, output allocation, caches, TensorRT-RTX runtime settings, mutable modules, refit, weight streaming, and benchmark…

VectorSpaceLab/AREX-Skill

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

A skill your agent uses for Torch-TensorRT tasks: compiling PyTorch models with TensorRT, dynamic-shape/export workflows, runtime optimization, Triton/C++/distributed deployment, debugging…

VectorSpaceLab/AREX-Skill

A skill your agent uses when planning or auditing TorchVision reference training/evaluation workflows for classification, quantization, detection, segmentation, video classification, optical flow…

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

Fetch current model names from AI providers (Anthropic, OpenAI, Gemini, Ollama), classify them into tiers (fast/default/heavy), and detect new models.

aiskillstore/marketplace

Select appropriate Ollama models for processing sensitive but legal content.

divinevideo/divine-mobile

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

A skill your agent uses when self-hosting an open-weight LLM for high-throughput concurrent serving with vLLM — running an OpenAI-compatible endpoint, splitting a model across GPUs with tensor or…

ericrisco/rsc-harness

Manage background coding agents in tmux sessions. An agent skill from sundial-org/awesome-openclaw-skills.

sundial-org/awesome-openclaw-skills

Delegates tasks to a locally served Muse Glimmer via ollama.

athola/claude-night-market

Operate, configure, benchmark, and troubleshoot llama.cpp across CPU, Metal, CUDA, HIP/ROCm, Vulkan, SYCL, and hybrid or multi-GPU systems.

magnus919/agent-skills

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

Offline experimental post-call feedback scorer using supplied ratings and text heuristics.

CALLE-AI/awesome-phone-call-agents

Build machine vision inspection systems with MATLAB Visual Inspection Toolbox.

matlab/matlab-agentic-toolkit

Fully local multi-agent swarm intelligence simulation engine using Neo4j + Ollama for public opinion, market sentiment, and social dynamics prediction.

LeoYeAI/openclaw-master-skills