ollama

Connect a CLI tool to a local Ollama server for text generation, chat, and embeddings.

2|1|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/robomotionio/robomotion-skills --skill ollama-robomotionio
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ollama
Source: https://github.com/robomotionio/robomotion-skills/tree/main/skills/ollama
Command: npx skills add https://github.com/robomotionio/robomotion-skills --skill ollama-robomotionio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Connects to a local Ollama instance to run LLMs on your own hardware, enabling local text generation, chat with history, and embeddings without relying on cloud services.

Core Features & Use Cases

  • Local model execution with Ollama-compatible models (e.g., Llama, Mistral) on your own machine
  • Chat-style interactions with history and embeddings for on-device workflows
  • Model management, listing, pulling, and deleting models directly from the CLI
  • Use Case: Develop offline AI features for edge devices or secure environments while avoiding cloud dependencies

Quick Start

Install Ollama locally, connect with robomotion ollama, and run a sample generate or chat command.

Frequently Asked Questions about ollama

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run local LLMs offline without relying on cloud services?

You can run local LLMs offline by connecting a CLI tool to a local Ollama server. This allows on-device text generation and embeddings without cloud dependencies.

How do I generate text and manage models using a local Ollama instance?

Install Ollama locally and connect with the CLI. Use commands like generate_completion or generate_embeddings to interact with models, and manage them by listing, pulling, or deleting directly.

Can I use this approach for chat interactions with history on edge devices?

Yes, connecting to a local Ollama instance supports chat-style interactions with history. It is applicable for developing offline AI features on development workstations or edge deployments.

What do I need to set up before running local text generation with Ollama?

Running local text generation requires a running Ollama instance and the robomotion install ollama workflow. You must set up these components before executing local LLM commands.

What are the limitations of using local LLMs compared to cloud services?

Using local LLMs requires your own hardware resources and a running local Ollama instance. It avoids cloud dependencies but is limited by your machine's capacity for on-device text generation.