ac-inference-ollama-608

Translate text between languages using the ollama tool.

2|1|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/simplefarmer69/ape-claw --skill ac-inference-ollama-608
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ac-inference-ollama-608
Source: https://github.com/simplefarmer69/ape-claw/tree/main/data/forge-skills/ac-inference-ollama-608
Command: npx skills add https://github.com/simplefarmer69/ape-claw --skill ac-inference-ollama-608

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the need for seamless language translation within AI agent workflows, enabling better natural language understanding and generation across different languages.

Core Features & Use Cases

  • AI-powered Translation: Leverages the ollama tool to perform translations.
  • NLU/NLG Support: Facilitates natural language understanding and generation by breaking down language barriers.
  • Use Case: An agent needs to understand a user query in Spanish and respond in English. This skill can translate the Spanish query into English for processing and then translate the English response back into Spanish for the user.

Quick Start

Use the ac-inference-ollama-608 skill to translate the following text from English to French: "Hello, how are you today?".

Frequently Asked Questions about ac-inference-ollama-608

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

FAQPage Schema
How do I translate text using ollama for natural language understanding?

This skill performs translation using ollama to support NLU and NLG. It enables AI agents to understand queries in one language and generate responses in another, breaking down language barriers in cross-lingual workflows.

Do I need ollama installed to run language model inference for translation?

Yes, ollama must be installed and configured for language model access. The skill relies on the ollama tool to execute AI inference for translation and facilitate natural language understanding and generation.

How can I localize AI agent responses across different languages?

You can localize AI agent content by translating user inputs into a processing language and converting the generated output back to the user's original language. This facilitates cross-lingual communication and content localization.

What is the best way to integrate cross-lingual translation into an AI agent workflow?

The best way is to apply ollama inference to translate user queries before processing and generated responses before output. This facilitates natural language understanding and generation across different languages within AI agent workflows.

Does ollama work for both natural language understanding and generation tasks?

Yes, ollama works for both NLU and NLG. This skill leverages the tool to perform translation inference, enabling agents to understand multilingual inputs and generate localized outputs for cross-lingual communication.