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consult-agents

Query Claude, Gemini, and Codex in parallel for validation feedback.

Updated Jan 10, 2026
Search Tags:#code review#decision making#collaboration#research#validation#multi-agent
One-click install
npx skills add https://github.com/vrazdalovschi/dotfiles --skill consult-agents
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: consult-agents
Source: https://github.com/vrazdalovschi/dotfiles/tree/main/claude/skills/consult-agents
Command: npx skills add https://github.com/vrazdalovschi/dotfiles --skill consult-agents

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the need for robust validation, diverse analysis, and comprehensive research by leveraging multiple AI agents before committing to an implementation. It mitigates risks associated with single-agent decision-making and ensures a well-rounded perspective.

Core Features & Use Cases

  • Cross-Agent Validation: Gathers feedback from Claude, Gemini, and Codex on designs, code, or approaches.
  • Multi-Perspective Research: Obtains varied insights on topics from different AI models.
  • Code Review Aggregation: Collects code review feedback from multiple AI agents.
  • Use Case: Before implementing a complex new feature, use this Skill to have Claude, Gemini, and Codex independently review the proposed architecture, identify potential flaws, and suggest alternative solutions.

Quick Start

Use the consult-agents skill to get validation on the proposed approach for user authentication.

Frequently Asked Questions about consult-agents

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

FAQPage Schema
How do I use multiple AI agents for code review and validation?▼

Multi-agent code review and validation works by querying Claude, Gemini, and Codex in parallel, then synthesizing their independent feedback to inform decision-making and implementation within the current session.

What's the best way to get diverse AI perspectives on a proposed software architecture?▼

Cross-agent validation gathers feedback from Claude, Gemini, and Codex on proposed designs or approaches, identifying potential flaws and suggesting alternative solutions before committing to implementation.

Can I aggregate research insights from different AI models in one session?▼

Multi-perspective research obtains varied insights on topics from different AI models by querying them in parallel and synthesizing their independent feedback directly within the current Claude session.

Do I need specific model versions to run multi-agent validation?▼

Yes, multi-agent validation requires specific model flags for Opus, gpt-5.3-codex, and gemini-3-pro-preview to ensure top-tier performance and accurate results across all queried agents.

Why use multi-agent collaboration instead of a single AI for decision making?▼

Multi-agent collaboration mitigates risks associated with single-agent decision-making by ensuring a well-rounded perspective through robust validation, diverse analysis, and comprehensive research before implementation.

Does multi-agent research work without external dependencies?▼

Yes, the multi-agent validation skill operates with no external dependencies, facilitating analysis and research by synthesizing feedback from multiple AI agents entirely within the current Claude session.

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