Skill UI

Master advanced error capture and context enrichment using Sentry SDKs for both TypeScript and Python. This skill teaches how to reliably capture exceptions, track non-exception events (messages), and enrich reports with structured data like user context, tags, breadcrumbs, and custom fingerprints. It is essential for dramatically improving the ability to diagnose complex production issues quickly.

A structured framework for managing production outages using Sentry. This guide walks users through classifying incident severity (P0-P3), performing deep triage using stack traces and breadcrumbs, and executing API-based queries to pinpoint root causes and measure impact. Essential for DevOps and SRE teams during critical incident response.

This skill guides you through advanced integration patterns to connect Sentry with your full observability stack. Learn how to correlate error events from structured loggers (like Winston/Pino) using Event IDs, track business metrics (counters, gauges) within Sentry, and link performance data across multiple tools (Grafana, Datadog). Achieve end-to-end visibility, ensuring every error is tied back to its root cause and business context.

A comprehensive guide to production-ready error tracking using Sentry SDK in TypeScript and Python. Learn how to implement structured error context via scopes, manage user journeys with breadcrumbs, filter out noise and PII using beforeSend/beforeBreadcrumb hooks, and use custom fingerprinting for accurate issue grouping. Essential for robust observability.

Provides step-by-step guidance on technical SEO, on-page metadata, structured data, URLs, sitemaps, and security headers to improve visibility as per Lighthouse and Google SEO guidelines.

Provides structured guidance to audit site crawlability, indexing, technical foundations, on-page elements, and content quality so you can diagnose SEO issues, prioritize fixes, and improve organic visibility for marketing or product sites.

A comprehensive skill for developing robust SEO content strategies. It assists in creating detailed content outlines, identifying topic clusters, mapping search intent, and generating comprehensive content calendars. Ideal for content marketers, SEO specialists, and anyone needing to build topical authority and structured content plans for improved search engine visibility. Use it for proactive content planning and gap analysis.

A comprehensive guide detailing the foundational principles of modern SEO. It covers critical areas such as E-E-A-T framework, Core Web Vitals, technical SEO implementation (e.g., sitemaps, structured data), and advanced content quality strategies. This skill helps users build sustainable, high-trust online visibility by focusing on user experience and search engine understanding, not temporary hacks.

This specialized skill generates comprehensive, best-practice SEO metadata packages, including optimized titles, compelling descriptions, and structured URLs. It ensures strict compliance with character limits (e.g., 150-160 characters) while strategically integrating primary and secondary keywords, emotional triggers, and clear CTAs. Use this when launching new content or needing A/B test variations to maximize search visibility and click-through rates across platforms.

A comprehensive guide covering the principles of production-grade server management. Topics include process control (PM2, systemd), advanced monitoring strategies (Grafana, metrics), structured logging, scaling decisions (horizontal/vertical), and security best practices. It teaches systematic thinking for ensuring high availability, reliability, and scalability in complex systems.

SGLang is a high-performance serving framework for LLMs and VLMs that uses RadixAttention prefix caching to deliver structured outputs (JSON/regex/grammar) and agentic workflows with function calls, providing up to 5× faster inference than vLLM across multi-GPU production deployments.

This comprehensive guide outlines the best practices and structured methodology for developing specialized skills for AI coding agents. It provides detailed instructions on integrating Azure SDKs and Microsoft Foundry services, covering crucial topics like secure authentication patterns (DefaultAzureCredential), modular workflow design, and maintaining concise, effective knowledge context for optimal agent performance.