Skill UI

A comprehensive guide for optimizing systems requiring ultra-low latency and high freshness, such as real-time dashboards, market data feeds, streaming agents, and HFT infrastructure. It details how to measure critical metrics (p95 latency, throughput, freshness age) across the entire 'hot path,' providing structured steps for optimization, caching, and rigorous verification to ensure performance reliability.

This tool manages the continuous and periodic execution of specialized background workers, such as security auditing, performance optimization, code mapping, and documentation generation. By utilizing in-session looping (`/loop`) and MCP dispatching, users can schedule critical maintenance tasks (e.g., optimize, audit, consolidate) at fixed intervals, ensuring the system remains monitored and up-to-date.

This optimizer guides the acceleration of complex, multi-stage processes, such as CI/CD pipelines, large-scale refactoring, or data validation. It instructs users to decompose large tasks into independent execution lanes, build a dependency graph, batch read/check operations, and manage writes with strict isolation to maximize speed without sacrificing correctness. Ideal for optimizing development workflows and testing cycles.

A comprehensive guide covering advanced patterns, common pitfalls, and optimization techniques for using Prisma ORM in TypeScript backend applications. Learn best practices for schema design, handling transactions, optimizing queries (include vs select), and managing connection pools in production environments.

A comprehensive guide detailing advanced performance optimization patterns for React 18/19 and Next.js. Adapted from Vercel Engineering's best practices, this skill organizes 70+ critical rules across eight categories—including eliminating waterfalls, optimizing bundle size, improving server-side rendering, and managing client-side re-renders. Use this when developing, reviewing, or refactoring high-performance React applications.

A structured framework for managing complex, iterative, and high-stakes decision processes (e.g., stochastic optimization, ensemble comparison, model rollouts). It mandates the creation of a detailed, auditable 'ledger' that records every prior result, new input, search space metric, and decision mark. This tool enforces rigorous evidence trails and defaults to safe, dry-run modes, ensuring that confidence is built through verifiable, step-by-step proof rather than assumed certainty.

This skill solves the mean-variance portfolio optimization problem (Σ · x = μ) using the highly efficient Conjugate Gradient (CG) method. It significantly outperforms legacy Neumann series methods, providing state-of-the-art speedup (40-60x) and accuracy for calculating optimal investment weights. It is designed for quantitative finance and risk management applications where computational performance is critical.

A comprehensive guide covering best practices for the Vite build tool. Learn how to configure advanced features such as environment variables, plugins, HMR, dependency pre-bundling, and optimizing the final production build for modern web applications.