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To create production-grade AI skills, you need a process for domain discovery, requirement gathering, and structured implementation. This embeds procedural knowledge into new skills, ensuring they are zero-shot capable and adaptable for immediate use.

Supported AI skill types include Builder, Guide, Automation, Analyzer, and Validator. These categories cover tasks ranging from automated code generation to domain-specific data analysis and procedural validation.

Domain expertise integration works by gathering knowledge from authentic sources during skill creation. It embeds this procedural knowledge into the skill structure, allowing the AI to perform specialized tasks without prior examples.

Yes, you can improve existing AI skills by re-evaluating their domain discovery and requirement gathering phases. This structured implementation process refines existing skills to become zero-shot capable and embeds updated procedural knowledge.

The best way to structure a zero-shot capable AI skill is through guided requirement gathering and domain discovery. By embedding procedural knowledge and authentic domain expertise directly into the skill, it executes tasks accurately without needing few-shot examples.