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.
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
pullandpushto sync models with the Ollama registry. - Convenience Aliases: Support for
@oalias for rapid local LLM chat. - File Context: Leverage the
--fileflag to provide local context to models.
Additional Scenarios
- Interactive Browsing: Use
lafor an interactive UI to explore available models. - Service Control: Use
serveto manually start the Ollama backend.
Patterns & Examples
Pull and Run
# Download and start a chat session with Mistral
x ollama pull mistral
@o "How does a vector database work?"
Translate with File Context
# Translate local documents using a local model
@o --file ./abstract.en.md "Translate to Chinese"
Interactive UI
# 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
--fileinput with the model's context window.
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