Agent skill

ollama

CLI client for Ollama, the open-source framework for local LLM deployment. Core Scenario: When the user wants to pull, manage, or run local AI models (Llama 3, Mistral, etc.) via Ollama.

Stars 19
Forks 4

Install this agent skill to your Project

npx add-skill https://github.com/x-cmd/skill/tree/main/data/x-cmd/ollama

SKILL.md

ollama - Local LLM Management & Interaction

The ollama module provides an enhanced CLI interface for Ollama, enabling users to easily manage local models, perform translations, and interact with various AI architectures.

When to Activate

  • When the user wants to install or manage Ollama services.
  • When pulling models from the Ollama registry (e.g., Llama 3, Mistral).
  • When chatting with local models or using them for file-based translation.
  • When using an interactive UI to browse and download models.

Core Principles & Rules

  • Registry Interaction: Use pull and push to sync models with the Ollama registry.
  • Convenience Aliases: Support for @o alias for rapid local LLM chat.
  • File Context: Leverage the --file flag to provide local context to models.

Additional Scenarios

  • Interactive Browsing: Use la for an interactive UI to explore available models.
  • Service Control: Use serve to manually start the Ollama backend.

Patterns & Examples

Pull and Run

bash
# Download and start a chat session with Mistral
x ollama pull mistral
@o "How does a vector database work?"

Translate with File Context

bash
# Translate local documents using a local model
@o --file ./abstract.en.md "Translate to Chinese"

Interactive UI

bash
# Browse the Ollama registry interactively
x ollama la

Checklist

  • Ensure the Ollama service is installed and running.
  • Verify if the desired model has been pulled to local storage.
  • Check compatibility of the --file input with the model's context window.

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