How does the skill handle data privacy and security?

The skill includes a dedicated step for sanitizing sensitive data. Users are encouraged to summarize tasks and remove proprietary information before the consult script sends data to external providers.

Where are the LLM provider API keys stored?

API keys are stored securely in your local settings.json file under the llm_providers configuration key, manageable via the Command Palette.

Which LLM providers are supported by this skill?

The Multi-LLM Consult skill currently supports Gemini, OpenAI (Codex), and Qwen. You can configure the API keys for these providers within your local settings.

Can I use external models to review my code changes?

Yes, you can use the 'review' purpose to send a patch or context file to an external model for an independent analysis of your code changes.

Are the responses from external LLMs automatically applied?

No. External responses are treated as advisory. Claude will summarize the external feedback into bullet points for your review before any actions are taken.

Multi-LLM Consult

Name: Multi-LLM Consult
Author: NickCrew

byNickCrew

•

Ciencia de Datos y ML

Consults external AI models like Gemini and OpenAI to provide second opinions, code reviews, and alternative implementation plans.

The Multi-LLM Consult skill enables Claude to interact with external Large Language Models, including Gemini, OpenAI/Codex, and Qwen, directly from the development environment. It is designed for scenarios where a single perspective isn't enough, allowing users to cross-reference architectural plans, delegate code reviews to specific models, or seek a 'second opinion' on complex refactors. By providing a structured workflow for multi-model comparison and data sanitization, this skill helps developers reduce bias and catch potential logic gaps through independent AI verification.

Características Principales

01Integrated support for Gemini, OpenAI/Codex, and Qwen providers

02Data sanitization workflow to protect sensitive information before external calls

03Standardized output reconciliation to compare and contrast model responses

04Support for file-based prompts and context-aware diff analysis

057 GitHub stars

06Pre-defined consultation purposes for reviews, planning, and delegation

Casos de Uso

01Comparing alternative logic paths between different LLMs to resolve implementation conflicts

02Delegating a tedious documentation or code review task to an external model

03Validating a complex refactoring strategy by requesting a second opinion from Gemini

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nickcrew/claude-cortex multi-llm-consult

For use in Claude.ai and ChatGPT

Download Skill