Evaluate AI feature and model architecture options for product decisions.
npx skills add https://github.com/felixgeelhaar/skills --skill ai-expert
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
Evaluate AI features and model architectures to guide product decisions and governance.
Ask me to evaluate an AI feature and outline model choices, eval plan, and responsible AI considerations.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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vignesh2027Plan AI product features with strategy, model selection, and responsible AI governance.
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