ase-meta-chat

Query foreign LLMs like ChatGPT, Gemini, DeepSeek, or Grok with a single chat message.

44|5|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/rse/ase --skill ase-meta-chat
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ase-meta-chat
Source: https://github.com/rse/ase/tree/main/plugin/skills/ase-meta-chat
Command: npx skills add https://github.com/rse/ase --skill ase-meta-chat

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the need for querying foreign Language Learning Models (LLMs) like OpenAI ChatGPT, Google Gemini, DeepSeek, or xAI Grok with a single chat message, facilitating direct interaction with these models.

Core Features & Use Cases

  • Foreign LLM Interaction: Send chat messages to various foreign LLMs.
  • Single Message Query: Ideal for quick queries and comparisons.
  • Use Case: When you need to quickly get a response from a foreign LLM for a specific query, such as asking ChatGPT for information or Gemini for a brief comparison.

Quick Start

Query a foreign LLM for a chat message using the ase-meta-chat skill.

Frequently Asked Questions about ase-meta-chat

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

FAQPage Schema
How do I query foreign LLMs like ChatGPT or Gemini with a single chat message?

To query foreign LLMs with a single chat message, you can use this Skill to send direct chat interactions to models like OpenAI ChatGPT, Google Gemini, DeepSeek, or xAI Grok for quick responses.

Can I compare responses across different foreign LLMs for the same query?

Yes, you can compare responses across different foreign LLMs by sending the same single chat message to various models like ChatGPT and Gemini to evaluate their respective outputs.

What is needed to send chat messages to foreign LLMs using this approach?

Sending chat messages to foreign LLMs requires the ability to invoke sub-agents for LLM interactions, which facilitates the underlying communication with the target models.

When should I use a single message query for LLM interactions?

A single message query for LLM interactions is ideal when you need quick inquiries, brief comparisons, or fast information retrieval from models like ChatGPT or Gemini without establishing a full conversational thread.

Does this method support querying xAI Grok and DeepSeek models?

Yes, this method supports querying xAI Grok and DeepSeek models, alongside OpenAI ChatGPT and Google Gemini, allowing you to direct single chat messages to these specific foreign LLMs.