ai-expert

Evaluate AI feature and model architecture options for product decisions.

1|Updated Apr 13, 2026

Search Tags:#ai #risk-management #product-management #model-selection #ux-patterns #evals #responsible-ai

Ready to run

npx skills add https://github.com/felixgeelhaar/skills --skill ai-expert

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ai-expert
Source: https://github.com/felixgeelhaar/skills/tree/main/ai-expert
Command: npx skills add https://github.com/felixgeelhaar/skills --skill ai-expert

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Evaluate AI features and model architectures to guide product decisions and governance.

Core Features & Use Cases

AI feature evaluation and model selection across providers (Claude, GPT, Gemini, Llama, etc.)
Architecture decisions for AI-native, AI-enhanced, and AI-assisted products, plus MCP, evals, AI UX patterns, and responsible AI considerations
Strategy, metrics, risk assessment, and governance for AI-powered products

Quick Start

Ask me to evaluate an AI feature and outline model choices, eval plan, and responsible AI considerations.

Frequently Asked Questions about ai-expert

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

FAQPage Schema

How do I evaluate whether to build AI-native, AI-enhanced, or AI-assisted features?▼

Model selection for AI products involves comparing providers like Claude, GPT, Gemini, and Llama based on architecture requirements. This Skill evaluates feature goals to recommend the best model provider, outlining measurable evaluation metrics and risk assessment tailored to your enterprise context.

What is the best way to design eval frameworks for enterprise AI features?▼

Designing eval frameworks for enterprise AI features requires establishing measurable evaluation metrics and risk assessment protocols. This Skill outlines an evaluation plan covering model choices and responsible AI governance to ensure robust architecture decisions for AI-powered products.

How do I assess risk management and responsible AI considerations for my product?▼

Assessing risk management and responsible AI considerations involves mapping governance strategies and measurable metrics for AI-powered products. This Skill evaluates your feature approach to identify potential risks across enterprise contexts and integrate responsible AI practices into your architecture decisions.

Does this Skill support MCP adoption and AI UX pattern decisions?▼

Yes, evaluating MCP adoption and AI UX patterns is fully supported within the feature scoping process. The Skill assesses these technical dimensions alongside architecture decisions to determine whether an AI-native, AI-enhanced, or AI-assisted approach best fits your product requirements.

When should I not use an AI-native approach for feature development?▼

You should avoid an AI-native approach when feature requirements are better served by AI-enhanced or AI-assisted architectures with lower risk. This Skill evaluates your specific enterprise context, eval frameworks, and responsible AI constraints to recommend the most appropriate architecture decision.