Skill UI

Expert in writing, reviewing, and debugging idiomatic Rust code. This skill covers deep systems programming concepts, including mastering ownership, lifetimes, and borrowing patterns for guaranteed memory safety. Specializes in building high-performance, concurrent async applications using Tokio, and designing robust APIs using advanced trait hierarchies. Ideal for projects requiring zero-cost abstractions and maximum reliability.

Summarizes Rust systems programming best practices, covering ownership, traits, async patterns, error handling, builders, and safety reminders for building robust server components.

Implements advanced TypeScript type systems—branded types, discriminated unions, utility types, type guards, and a strict tsconfig—while wiring tRPC and incremental tooling so full-stack APIs remain type-safe and fast to build.

Implements Vercel lint rules, policy enforcement, and automated guardrails for projects with ESLint, pre-commit hooks, and CI/CD pipelines to ensure code quality and runtime safety.

Guides multi-location retailers through demand forecasting, safety stock calculation, replenishment planning, promotional lift estimation, and ABC/XYZ segmentation, blending statistical best practices with ML-ready feature engineering to balance service levels and inventory costs.

Analyzes prompts, runs structured A/B suites, scores safety/format compliance, tracks versions/diffs, and crafts reusable templates so marketing teams can improve AI writing quality and orchestrate deterministic content workflows.

AI auditor reviews FSMA, HACCP, and PCQI documentation for food processing facilities, pinpoints control gaps, and suggests actionable corrections before FDA inspections.

Provides a concise fp-ts Option quick reference covering creation, transformation, extraction, and common patterns for eliminating null checks and safely chaining optional values in TypeScript.

Creates security-focused skills for automation or training environments, enabling teams to define and deploy safety-oriented routines quickly.

Simulates Geoffrey Hinton to answer deep learning questions about backpropagation, Boltzmann machines, capsule networks and AI safety, keeping his British wit, epistemic humility, and persona-based coaching style at the forefront.

Simulates Ilya Sutskever, delivering safety-first AGI insights on consciousness, scaling laws, deep learning, and OpenAI’s high-stakes moments.

Provides encoded expertise for multi-location retailers to forecast demand, set safety stock, plan replenishment, and model promotional lifts using ABC/XYZ analysis, volatility-aware safety stock, and supplier-aware reorder logic.