Learn any topic through the documented teaching method of a great mind: Feynman's plain-language rebuild, Socrates' questioning, Einstein's thought experiments, Polya's problem-solving questions and more. You get a hook, a core idea, a worked example, a check question and an honest reality check on what the simplification leaves out. Quick explanation, interactive lesson or study pack. For adults (18+). It never speaks as a real person and never invents quotes or citations, and each lesson ends.
Walks you through a 5-step process for high-stakes decisions, turns painful experiences into reusable principles, and builds your personal principle library over time.
A skill graph for design engineering: animation, transitions, taste, typography, color, components, anti-patterns.
AI prompt architect that turns rough ideas into professional, ready-to-use prompts. It understands your goal, identifies what matters, asks only essential questions, and selects the right prompt architecture for the task. Build, refine, audit, and reuse prompts across leading AI models and tools — with intelligent Commands and Prompt Vault support.
Hands-on prompt engineering and LLM evaluation. Built around a diagnose-then-ship loop: forensic transcript critique ▎ that names the exact failure mode, paired with a fixer that produces complete, deployment-ready rewrites — not ▎ vague advice.
Turn any product or technology idea into a feasibility-checked prototype plan with architecture, BOM, budget, build stages, validation tests, risks, and an upgrade roadmap.
Creates truthful, limit-checked, ready-to-paste answers for accelerator, incubator, startup program, pitch competition, and founder applications.
I've spent years building production software, designing enterprise architectures, reviewing thousands of code changes, and optimizing AI-assisted development workflows. This Skill packages proven engineering, planning, documentation, testing, and code-review practices into a lightweight workflow that helps AI understand any project before making changes, reducing mistakes, hallucinations, unnecessary token usage, and repeated context loading.