Defining behavioral boundaries — what the AI should and shouldn't do.

When the AI leads vs. when the user leads, and how to hand off control.

Defining behavioral boundaries — what the AI should and shouldn't do.

When the AI leads vs. when the user leads, and how to hand off control.

Showing users what the AI knows, doesn't know, and how confident it is.

When and how AI should escalate to humans, refuse, or ask for clarification.

Designing what information goes into the context window and in what order.

When and how AI should escalate to humans, refuse, or ask for clarification.

Showing users what the AI knows, doesn't know, and how confident it is.

How the AI communicates mistakes, uncertainty, and limitations gracefully.

How the AI communicates mistakes, uncertainty, and limitations gracefully.

When and how AI should escalate to humans, refuse, or ask for clarification.

Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems. Masters REST/GraphQL/gRPC APIs, event-driven architectures, service mesh patterns, and modern backend frameworks. Handles service boundary definition, inter-service communication, resilience patterns, and observability. Use PROACTIVELY when creating new backend services or APIs.

Master software architect specializing in modern architecture patterns, clean architecture, microservices, event-driven systems, and DDD. Reviews system designs and code changes for architectural integrity, scalability, and maintainability. Use PROACTIVELY for architectural decisions.

AUTHORIZED USE ONLY: This skill contains dual-use security techniques. Before proceeding with any bypass or analysis: > 1.

A valid test skill with proper formatting. This skill should pass all validations and serves as a reference for the expected format.

This skill references rules that do not have corresponding files in the references directory.

Execute this skill empowers AI assistant to construct recommendation systems using collaborative filtering, content-based filtering, or hybrid approaches. it analyzes user preferences, item features, and interaction data to generate personalized recommendations... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

Designing reasoning chains that produce better outputs.

Designing interfaces where AI generates UI components dynamically.