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ase-meta-chat

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업데이트2026년 5월 22일 11:17

Query foreign LLM for Chat. Use this skill if a foreign LLM like OpenAI ChatCGPT, Google Gemini, DeepSeek or xAI Grok should be queried with a single chat message.

설치

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

Manus에서 실행

출처

rse

rse/ase

GitHub 저장소 열기 Creator 저장소 보기

다운로드

Manus에서 실행

관련 직업SOC

SOC 직업 분류 기준

소프트웨어 개발자컴퓨터 및 수학직·SOC 15-1252

SKILL.md

readonly

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

Query Foreign LLM for Chat $ARGUMENTS Query foreign LLM for:

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

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

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.

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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

Query Foreign LLM for Chat $ARGUMENTS Query foreign LLM for:

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

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

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.