Individual skill
ollama-pro
Ollama guidance — running local LLMs, model selection, Modelfiles, API usage, and RAG/agent integration.
skills/ollama-pro/SKILL.md
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## Overview
Ollama is the easiest way to run open LLMs locally: `ollama run llama3.1` and you have a model on your machine — no cloud, no API keys, no data leaving your network. It manages model downloads, quantization, GPU offloading, and exposes an OpenAI-compatible API that plugs into existing tooling.
Local models trade raw capability for privacy, cost (after hardware), latency control, and offline operation. This skill covers running Ollama well: model selection, Modelfiles, the API, and integrating local models into RAG and agent workflows.
## When to use
- Running LLMs locally (privacy, offline, cost).
- Choosing local models (size vs quality vs hardware).
- Customizing models with Modelfiles.
- Using the Ollama API (including OpenAI-compatible endpoints).
- Building RAG/agents on local models.
- Deciding local vs cloud models.