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.

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

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

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.

General software development best practices covering code quality, testing, security, performance, and maintainability across technology stacks

Comprehensive deep learning guidelines for neural network development, training, and optimization.

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.

Coordinating text, image, voice, and tool-use modalities in a single interaction.

Coordinating text, image, voice, and tool-use modalities in a single interaction.

Socratic questioning protocol + user communication.

Architectural decision-making framework.

Project Guidelines Skill (Example)

Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm