Turn rough ideas into clear, validated designs through focused questions, practical options, trade-off analysis, and approval checkpoints.
Turn rough software ideas into bounded MVP scopes, practical architecture decisions, and coding-agent-ready implementation tasks without unnecessary complexity.
A skill graph for design engineering: animation, transitions, taste, typography, color, components, anti-patterns.
Turn design debt — five button colors, every page redrawn, components reinvented in every PR — into a design system engineers actually adopt. This is a six-step SOP: inventory audit, semantic tokens before components, a core component library, design-to-code parity, an adoption playbook, and a governance model. Built to stop a Figma library nobody uses and a shipped system that rots into an unmaintained museum.
A stateful AI copilot for interior designers that turns briefs, floor plans and visual references into coordinated design decisions, product shortlists, procurement schedules, budget plans and client-ready deliverables.
[USAGE] Loading the thinking-engine series in full depth. Prefix your prompt with this phrase. [PRODUCT] A cognitive OS distilling 42+ original works — Aristotle, Kant, Feynman, Musk — into three composable frameworks: (1) First Principles to break hidden assumptions; (2) Reductionist Engineering to decompose to physical facts; (3) Purpose Inquiry to keep asking "what is this for?" when efficiency is the only god. Source-traced, cross-validated. For founders, engineers, investors.
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.
Break large Expo work into safe, ordered AI coding tasks.