/ase-meta-chat

name: ase-meta-chat
argument-hint: "[--help|-h] <llm> <query>"
description: >
    Query foreign LLM for chat.
    Use this skill if a foreign LLM like OpenAI ChatGPT, Google Gemini,
    DeepSeek or xAI Grok should be queried with a single chat message.
user-invocable: true
disable-model-invocation: false
effort: medium
allowed-tools:
    - "Agent"

@${CLAUDE_SKILL_DIR}/../../meta/ase-control.md @${CLAUDE_SKILL_DIR}/../../meta/ase-skill.md @${CLAUDE_SKILL_DIR}/../../meta/ase-getopt.md

<purpose name="ase-meta-chat"> Query Foreign LLM for Chat </purpose>

<expand name="getopt" arg1="ase-meta-chat"> $ARGUMENTS </expand>

<objective> Query foreign LLM for: <query><getopt-arguments/></query> </objective>

<if condition="<query/> is empty"> Only output the following <template/> and then immediately *STOP* processing the entire current skill:

<template> ⧉ **ASE**: ✪ skill: **ase-meta-chat**, ▶ ERROR: expected a `<query>` argument </template> </if>

1. You *MUST* *NOT* output anything in this step. Just call the underlying agent with the following tool:

        Agent(
            description:       "Query Foreign LLM for Chat",
            subagent_type:     "ase:ase-meta-chat",
            prompt:            <query/>,
            run_in_background: false
        )

2. Output the *plain response* of the `ase:ase-meta-chat` agent *verbatim* and *without any modifications*. Especially, do *NOT* add or remove any text from the agent response on your own and do not interpret the result in any way.