skills.rest
jsschrstrcks1
jsschrstrcks1COMMUNITY
Explore all skills by this author →
WebsiteGitHub

consult

Evaluate prompts across GPT, Gemini, and Grok with structured JSON feedback.

Updated Feb 15, 2026
Search Tags:#multimodel#structured-feedback#ai-review#prompt-improvement#consult#prompt-evaluation
One-click install
npx skills add https://github.com/jsschrstrcks1/manateecreeksheep --skill consult-jsschrstrcks1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: consult
Source: https://github.com/jsschrstrcks1/manateecreeksheep/tree/main/.claude/skills/consult
Command: npx skills add https://github.com/jsschrstrcks1/manateecreeksheep --skill consult-jsschrstrcks1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quickly obtain a second expert opinion on a prompt by querying multiple models and receiving structured feedback.

Core Features & Use Cases

  • Multi-model evaluation: Run a single prompt through GPT, Gemini, or Grok and compare results.
  • Structured feedback: Returns analysis, proposed updates, risks, and confidence in a consistent JSON structure.
  • Guided improvement: Helps refine prompts with actionable recommendations for better clarity and outcomes.

Quick Start

Provide a model, role, and prompt to receive a structured prompt review across GPT, Gemini, and Grok.

Frequently Asked Questions about consult

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

FAQPage Schema
How do I get structured feedback on a prompt across multiple AI models?▼

You can evaluate a prompt across GPT, Gemini, and Grok by providing a model, role, and the prompt text to receive structured feedback, including analysis, proposed updates, risks, and confidence.

What is the best way to compare prompt responses from different AI models?▼

The best way to compare prompt responses is to use multi-model evaluation, querying GPT, Gemini, and Grok with role-based prompts to return structured feedback for side-by-side analysis.

Can I improve my AI prompt using automated review?▼

Yes, you can improve an AI prompt using automated review by receiving actionable recommendations and proposed updates that enhance prompt clarity and outcomes from multiple model perspectives.

Does this prompt evaluation work with GPT, Gemini, and Grok?▼

Yes, this prompt evaluation works with GPT, Gemini, and Grok, applying role-based prompts across these specific models to generate structured feedback and comparative analysis.

What format does the structured prompt feedback use?▼

The structured prompt feedback uses a JSON object format containing four specific fields: analysis, proposed_update, risks, and confidence.

How do I evaluate prompt risks and confidence levels?▼

You evaluate prompt risks and confidence levels by querying multiple models like GPT, Gemini, and Grok, which returns a structured JSON object detailing specific risks and an overall confidence score.

Related Skills

Explore More Content & Communication Skills→
yu13130122297yu13130122297

scout

Identify uncertainties in research framing, datasets, metrics, and baselines.

Community
Intermediate
pingdiorpingdior
7

how-to-write-excellent-prompts

Define explicit goals, constraints, and stepwise workflows for LLM prompts.

Community
Basic
scanadyscanady

prompt-engineer

Design, optimize, and evaluate LLM prompts with structured workflows.

Community
Advanced
ChuaHanChongChuaHanChong

review

Analyze ML optimization session logs to generate actionable plugin improvement suggestions.

Community
Advanced