1306+ expert skills across 17 categories

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.

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

Master XGBoost for tabular data problems including hyperparameter optimization, feature engineering, SHAP-based interpretability, and production deployment with drift monitoring.

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.

Crafts inspiring brand manifestos that articulate company purpose, values, and vision into emotionally resonant narratives used for internal alignment, marketing campaigns, and brand identity documents.