Methodology · Wild GitHub
serving-llms-vllm
Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching.
Composite
4.3
C 4.3 · A 0.0
How we got there
1 source verified
- Best source
github:SKILL.md - Authority tier Tier 3 — Wild GitHub
- Source link https://github.com/majiayu000/claude-skill-registry/blob/b2fb5f555f4285b8f35a58f3179a04dbdce9f170/skills/ai-ml/vllm/SKILL.md ↗
- First published 2026-08-31
Use this skill
/plugin install serving-llms-vllmMore in Methodology
claude-api
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.
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Universal prompt engineering techniques for any LLM.
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Create, repair, validate, preview, and package Codex-compatible animated pet spritesheets from character art, screenshots, generated images, or visual references.
Auto-indexed. Editorial review pending — score is based on the rubric only.