Orchestra-Research/AI-Research-SKILLs

serving-llms-vllm

Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.

1.0K installs 14K stars

Before you install

Last update
Files in folder
5
Scripts
No script files found
SKILL.md size
8.8 KB (about 2,257 tokens of context each time it loads)
License
MIT

Skills are plain text instructions the agent follows, sometimes with scripts. Check the source, prefer repositories with many installs and stars, and read any script it ships.

Install

npx skills add Orchestra-Research/AI-Research-SKILLs@serving-llms-vllm

Runs in a terminal with Node.js 18 or newer. Add -y to skip the prompts and -g to install for every project instead of this one.

Install for your agent

npx skills add Orchestra-Research/AI-Research-SKILLs@serving-llms-vllm --agent claude-code -y
Project install writes to
.claude/skills/serving-llms-vllm
Global install writes to
~/.claude/skills/serving-llms-vllm

Start a new session afterwards so the agent picks the skill up. In Claude Code you can also call it directly with /serving-llms-vllm.

What it does

vLLM - High-Performance LLM Serving Quick start vLLM achieves 24x higher throughput than standard transformers through PagedAttention (block-based KV cache) and continuous batching (mixing prefill/decode requests). Installation: Basic offline inference: OpenAI-compatible server: Common workflows Workflow 1: Production API deployment Copy this checklist and track progress: Step 1: Configure server settings Choose configuration based on your model size: Step 2: Test with limited traffic Run load test before production: Verify TTFT (time to first token) 100 req/sec. Step 3: Enable monitoring…

Excerpt from the skill's own SKILL.md. Read the full file on GitHub before installing: skills run with your agent's permissions.

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