Develop Intelligent AI Assistants

The skill positions the agent as an AI assistant development expert focused on conversational interfaces, chatbots, and AI-powered applications - covering natural language understanding, context management, and integrations. Rather than generating a one-off answer, it works through a fixed sequence: clarify the goals, constraints, and required inputs; apply relevant best practices and validate the outcome; and provide actionable steps with verification. When a request needs concrete patterns or worked examples rather than general guidance, it opens resources/implementation-playbook.md for the detailed version. The stated focus throughout is production-ready assistants that deliver real value, not prototypes.

Use it for AI assistant development tasks or workflows, or when guidance, best practices, or checklists for building an AI assistant are needed. Do not use it for tasks unrelated to AI assistant development, or when a different domain or tool is the better fit. It is not a substitute for environment-specific validation, testing, or expert review, and it stops to ask for clarification when required inputs, permissions, safety boundaries, or success criteria are missing.

Input is the assistant-development request plus its specific requirements (arguments describing the target assistant's scope and constraints). Output is a set of actionable steps and verification guidance for building the assistant, expanded into detailed patterns and examples via resources/implementation-playbook.md when the request calls for that level of depth.

Developers and agents building conversational AI applications - chatbots or assistants - who want a structured clarify-apply-verify workflow instead of jumping straight to an unstructured implementation.