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multi-llm-advisormulti LLM advisor 命令行

Agent Skill

multi-llm-advisor 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

364

周安装

15

GitHub Stars

35

下载量

119
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:multi-llm-advisor(multi LLM advisor 命令行)
来源仓库:https://github.com/svenja-dev/claude-code-skills
仓库路径:skills/multi-llm-advisor
安装命令:
npx skills add https://github.com/svenja-dev/claude-code-skills --skill multi-llm-advisor
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/svenja-dev/claude-code-skills --skill multi-llm-advisor

简介

提供基于多个大模型的决策建议与命令行支持。

  • 适用于复杂问题分析与多模型结果对比。
  • 可集成不同 LLM 输出以增强推理可靠性。
  • 使用前应验证命令安全性与执行环境。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • multi-llm-advisor 属于AI 工具类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Multi-LLM Advisor

This skill calls Codex 5.1 Pro and Gemini 3 Pro to provide additional perspectives.

When to Activate

  • Architecture decisions (new features, refactoring)
  • Code review (before commits, PRs)
  • Debugging (complex errors, performance issues)
  • On explicit request ("second opinion", "different perspective")

Usage

Use the multi-llm-advisor skill to get architecture feedback on [topic]
Use the multi-llm-advisor skill to review this code
Use the multi-llm-advisor skill to debug [issue]

Transparency Format

Every invocation displays the following:

+==============================================================+
|  MULTI-LLM ADVISOR - [MODE: ARCHITECTURE|REVIEW|DEBUG]       |
+==============================================================+
|  CONTEXT SENT TO LLMs:                                       |
|  - Files: [list]                                             |
|  - Question: [prompt]                                        |
|  - Tokens: ~[count]                                          |
+--------------------------------------------------------------+
|  CODEX 5.1 PRO RESPONSE:                                     |
|  [response]                                                  |
+--------------------------------------------------------------+
|  GEMINI 3 PRO RESPONSE:                                      |
|  [response]                                                  |
+--------------------------------------------------------------+
|  SYNTHESIS (Claude's Recommendation):                        |
|  [combined analysis]                                         |
+==============================================================+

Prompt Templates

Architecture Mode

You are a senior software architect. Analyze this architecture decision:

CONTEXT:
{context}

QUESTION:
{question}

CURRENT STACK:
{stack}

Provide:
1. Pros/Cons of the proposed approach
2. Alternative approaches (max 2)
3. Potential risks and mitigations
4. Recommendation with reasoning

Be concise. Max 300 words.

Review Mode

You are a senior code reviewer. Review this code:

CODE:
{code}

LANGUAGE: {language}
PROJECT TYPE: {project_type}

Focus on:
1. Security vulnerabilities (OWASP Top 10)
2. Performance issues
3. Maintainability concerns
4. TypeScript/type safety (if applicable)

Format: Bullet points, max 200 words.

Debug Mode

You are a debugging expert. Analyze this issue:

ERROR/SYMPTOM:
{error}

RELEVANT CODE:
{code}

CONTEXT:
{context}

Provide:
1. Root cause analysis (most likely)
2. 2-3 diagnostic steps
3. Suggested fix with code

Be specific and actionable. Max 250 words.

API Configuration

Environment variables (store in .env or system env):

  • OPENAI_API_KEY - For Codex 5.1 Pro
  • GOOGLE_AI_API_KEY - For Gemini 3 Pro (same as gemini-image-gen)

Script Location

~/.claude/skills/multi-llm-advisor/advisor.ts

Hook Integration

Triggered via multi-llm-advisor-hook.ts when:

  • PreToolUse: Detects architecture/review/debug keywords
  • Manual: User explicitly requests second opinion

Real-World Example

When building the Gemini API integration at fabrikIQ.com, this skill helped decide between:

  • Vertex AI (enterprise, EU region support) vs Google AI Studio (simpler)
  • Streaming vs batch responses for large manufacturing datasets
  • The synthesis recommended Vertex AI for GDPR compliance, which proved correct.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

30.76%
按下载量换算37

windsurf

21.73%
按下载量换算26

trae

17.9%
按下载量换算21

OpenCode

11.85%
按下载量换算14

Cursor

8.46%
按下载量换算10

Codex

3.47%
按下载量换算4

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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