consult-llm

Sends parallel prompts to multiple external LLMs and aggregates their responses.

25|5|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/nikolanovoselec/codeflare --skill consult-llm-nikolanovoselec
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: consult-llm
Source: https://github.com/nikolanovoselec/codeflare/tree/main/preseed/agents/claude/skills/consult-llm
Command: npx skills add https://github.com/nikolanovoselec/codeflare --skill consult-llm-nikolanovoselec

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables users to consult multiple external large language models (LLMs) simultaneously for insights and comparisons, saving time on manual multi-platform queries.

Core Features & Use Cases

  • Parallel LLM querying: Send the same prompt to two different models for comparison.
  • Context-rich prompts: Include relevant code files or project context to improve response quality.
  • Use Case: A developer asks for code review from both GPT and Gemini to evaluate best practices or identify issues, receiving comparative feedback and insights.

Quick Start

Use the consult-llm skill to compare model outputs on a given programming challenge or document review request by providing your question and optional relevant files.

Frequently Asked Questions about consult-llm

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compare multiple AI models for code review?

To compare multiple AI models for code review, you can send parallel prompts to different external large language models and aggregate their responses to evaluate best practices and identify issues efficiently.

Can I query multiple LLMs at the same time for architecture discussion?

Yes, you can query multiple LLMs at the same time for architecture discussion by sending a single prompt to different providers simultaneously, aggregating their comparative insights to optimize your design decisions.

How do I provide project context when prompting external AI models?

To provide project context when prompting external AI models, include relevant code files or project documents directly with your query to improve response relevance and the quality of the analysis.

Does comparing AI models require manual multi-platform querying?

Comparing AI models does not require manual multi-platform querying; this approach sends parallel prompts to multiple providers automatically, saving time by aggregating responses in one place.

What is the best way to evaluate different AI opinions on a programming challenge?

The best way to evaluate different AI opinions on a programming challenge is to query multiple large language models in parallel and compare their aggregated responses to find the most robust solution.