Individual skill

ollama-local

Run LLMs locally — model selection, setup, quantization choices, API usage, and practical local workflows. Use when you want private, offline, or cost-free model inference on your own machine.

skills/ollama-local/SKILL.md

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# Local LLM Inference

Running models on your own machine gives you privacy (data never leaves), zero per-token cost, and 
offline capability — at the price of smaller models and your hardware's limits. This skill covers 
making local inference genuinely useful.

## Overview

Local runners package model downloading, quantization, and serving into one tool: pull a model, run 
it, query via CLI or API. The practical art is matching model size and quantization to your 
RAM/VRAM, choosing models by task (chat, code, embeddings each have strengths), and knowing when 
local is enough vs. when you need a frontier API.

## When to use