Which LLM providers are supported by this skill?

Currently, the skill supports Gemini, OpenAI (including Codex), and Qwen. You can configure these via the TUI command palette.

Can I provide specific files as context for the external consultation?

Yes, the consult script allows you to use --prompt-file and --context-file flags to pass specific documents or diffs for review.

How do I secure my API keys for external models?

Keys are configured through the 'Configure LLM Providers' command in the TUI and are stored securely in your settings.json file.

Why should I consult another model if I'm already using Claude?

Different models have unique strengths and training data; consulting a second model helps identify edge cases, logic gaps, or alternative optimizations that a single model might overlook.

Does this skill share my entire codebase with external providers?

No, the workflow requires you to summarize tasks and sanitize sensitive data before sending prompts to external LLMs to ensure security.

Multi-LLM Consultant

Name: Multi-LLM Consultant
Author: NickCrew

byNickCrew

•

Ciencia de Datos y ML

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

Acerca de

The Multi-LLM Consult skill empowers Claude to leverage the strengths of other leading AI models including Gemini, OpenAI (Codex), and Qwen directly within your workflow. By facilitating cross-model validation and task delegation, it allows developers to obtain independent reviews, compare architectural plans, and resolve complex logic issues with diverse AI perspectives. This ensures more robust and well-vetted code implementations by reconciling Claude's own plans with insights from external providers.

Características Principales

Seamless integration with Gemini, OpenAI, and Qwen providers
Automated data sanitization to protect sensitive information during external calls
7 GitHub stars
Predefined workflows for second opinions, reviews, planning, and delegation
Flexible input handling via direct prompts, prompt files, or context diffs
Structured reconciliation logic for comparing conflicting AI responses

Casos de Uso

Delegating complex code reviews or patch analysis to specialized coding models
Generating and comparing multiple implementation strategies for architectural decisions
Verifying high-risk refactoring plans with a second opinion from a different model

Acerca de

Características Principales

Seamless integration with Gemini, OpenAI, and Qwen providers
Automated data sanitization to protect sensitive information during external calls
7 GitHub stars
Predefined workflows for second opinions, reviews, planning, and delegation
Flexible input handling via direct prompts, prompt files, or context diffs
Structured reconciliation logic for comparing conflicting AI responses

Casos de Uso

Delegating complex code reviews or patch analysis to specialized coding models
Generating and comparing multiple implementation strategies for architectural decisions
Verifying high-risk refactoring plans with a second opinion from a different model