1307+ expert skills across 17 categories

Expert guidance for designing production-grade Zod schemas with TypeScript type inference, schema composition, error handling, and full-stack integration patterns.

A meta-skill that makes AI coding assistants think strategically before acting. Implements a 5-factor risk heuristic (Reversibility, Blast Radius, Coupling, Stakes, Uncertainty) to determine whether a code change needs shallow execution, medium analysis, or deep pre-mortem reasoning. Based on cognitive science, game theory, and software engineering economics research.

A generalist skill that helps users interact with AI safely across all sensitive domains. Covers health, finance, legal, mental health, nutrition, parenting, relationships, and general AI literacy. Teaches critical evaluation of AI outputs, recognizes when professional help is needed, and prevents over-reliance on AI for consequential decisions.

Comprehensive prompt engineering guidance covering techniques (chain-of-thought, few-shot, system prompts), evaluation, guardrails, structured output, and building reliable AI interactions.

Expert guide for creating pixel art as a structured design system. Covers grid logic, palette constraints, sprite architecture, tile standards, animation rules, engine integration (Unity/Godot), scaling best practices, and production pipeline from Aseprite to deployment.

Identifies code smells and applies systematic refactoring patterns from Martin Fowler's catalog. Guides safe refactoring with test coverage, legacy code strategies, and incremental improvement plans that preserve behavior while improving design.