Skill UI

Optimize Linux system performance by configuring kernel parameters, analyzing bottlenecks, and tuning resources like memory, CPU, and network. Includes monitoring tools and sysctl settings for production environments.

This skill autonomously deep-scans entire codebases line-by-line to identify security vulnerabilities, performance bottlenecks, and architectural flaws. It systematically refactors code to meet enterprise-grade production standards, including adding logging, monitoring, CI/CD pipelines, and security hardening. Ideal for preparing software for deployment.

A comprehensive collection of battle-tested prompt templates for role-based interactions, code review, debugging, testing, analysis, and creative brainstorming. Ideal for developers and AI users seeking structured prompting patterns.

A comprehensive guide for profiling, analyzing, and optimizing Python code. It addresses identifying performance bottlenecks related to CPU usage, excessive memory consumption, I/O operations, and slow data processing. Use this skill to improve application speed and efficiency in production environments.

A comprehensive guide to diagnosing and resolving performance bottlenecks in React applications. This skill teaches advanced techniques like state isolation, memoization (using `useMemo`, `useCallback`, and `React.memo`), and list virtualization. It guides users through profiling using React DevTools to identify render hotspots, ensuring components render efficiently and maintain high application responsiveness.

This skill provides a comprehensive, structured workflow for diagnosing performance bottlenecks in SwiftUI applications. It guides users through a code-first review to detect common issues like invalidation storms, layout thrash, or heavy main-thread work. When code review is insufficient, it provides detailed guidance on collecting runtime evidence using Instruments, enabling precise root cause analysis and targeted remediation strategies.

This skill performs an observability-first audit of deployed Vercel applications. It comprehensively analyzes production metrics, project configurations, and codebase scans to identify potential cost overruns and performance bottlenecks. It provides version-aware, actionable recommendations for improving application efficiency and reducing cloud expenditure.

This skill diagnoses latency and throughput in weather data workflows by measuring stages like discovery, transfer, parsing, and rendering separately. It identifies bottlenecks before code changes, supporting profiling and validation of performance fixes. It ensures accurate optimization by isolating slow steps in the pipeline.

Optimize website and web application performance including loading speed, Core Web Vitals (LCP, INP, CLS), bundle size reduction, caching strategies, and runtime performance. Use for debugging bottlenecks, implementing code splitting, image optimization, and preparing for performance audits.

Workflow automation ensures AI agents and business processes remain reliable despite failures. This skill covers durable execution patterns and platforms like n8n, Temporal, and Inngest. It transforms brittle scripts into production-grade systems handling sequential, parallel, and orchestrator-worker patterns for payment flows, document analysis, and background jobs.

Official M2MCent wrapper for injecting x402 paywalls into Node.js/Express APIs or Model Context Protocol (MCP) servers. Enables machine-to-machine monetization by requiring USDC micropayments on Base L2. Includes middleware for Express routes and handles settlement automatically.

Read live Microsoft Fabric capacity utilization and per-item CU consumption from the Capacity Metrics semantic model with fab, diagnose throttling, carry-forward and stale metrics-app issues, and start, pause or monitor capacities from scripts or a status bar.