About
This skill provides expert guidance on deploying and optimizing local LLMs using tools like Ollama, llama.cpp, and vLLM. It helps developers select models, manage VRAM, and apply quantization formats (GGUF, EXL2) for efficient local inference. Use it when planning hardware requirements or implementing privacy-focused AI solutions on local hardware.
Quick Install
Claude Code
Recommendednpx skills add boisenoise/skills-collections -a claude-code/plugin add https://github.com/boisenoise/skills-collectionsgit clone https://github.com/boisenoise/skills-collections.git ~/.claude/skills/local-llm-expertCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the local-llm-expert skill?
local-llm-expert is a Claude Skill by boisenoise. Skills package instructions and resources that Claude loads on demand, so Claude can perform local-llm-expert-related tasks without extra prompting.
How do I install local-llm-expert?
Use the install commands on this page: add local-llm-expert to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does local-llm-expert belong to?
local-llm-expert is in the data-ai category, tagged ai.
Is local-llm-expert free to use?
Yes. local-llm-expert is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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