Skill UI

Explains how to create route.ts endpoints in the Next.js App Router, covering HTTP methods, request/response handling, streaming, cookies, redirects, CORS, and caching so you can build REST APIs.

This guide provides expert patterns for building robust and scalable applications on the Salesforce platform. It covers modern UI development using Lightning Web Components (LWC) with reactive data services, and teaches advanced Apex implementation. Key patterns include utilizing handler classes for bulkified triggers to prevent recursion and ensuring separation of concerns, crucial for high-performance, maintainable code.

Automates Scrapingbee tasks through Composio via Rube MCP, ensuring each workflow begins with RUBE_SEARCH_TOOLS, validates connections, and executes schema-compliant tool calls with consistent sessions.

Ports an existing Semgrep rule into each requested language by running applicability analysis, test-first creation, AST-informed rule translation, and validation so that every target-language variant has its own rule+test directory.

Configure GDPR-compliant data handling, PII scrubbing, and data retention policies within Sentry. This skill provides detailed instructions on implementing client-side `beforeSend` hooks and server-side scrubbing rules to securely redact sensitive data (passwords, emails, IP addresses, CC numbers). Essential for achieving compliance with regulations like GDPR, HIPAA, and meeting SOC 2 audit controls.

Integrate Sentry into your CI/CD pipeline to achieve end-to-end release tracking. This skill guides you through using the Sentry CLI and SDK to record deployments, associate commits, upload source maps, and monitor crucial release health metrics. Key functions include detecting regressions, calculating crash-free session rates, and tracking user adoption curves for every deployed version.

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.

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.

This guide details advanced patterns for building fault-tolerant Sentry integrations. It addresses critical real-world failure points, such as SDK initialization failures, network outages, and abrupt process shutdowns. By implementing graceful degradation, circuit breakers, and durable offline queuing, applications can ensure core functionality remains online and stable, even when the external error tracking service is unreachable or degraded.

Automates Sequelize model creation for backend development, offering step-by-step guidance, best practices, and production-ready code/config validation when working with Node.js, Python, Go, databases, caching, messaging, and microservices.

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.

Guides building, tuning, and validating production Apache Spark jobs, covering DataFrame/RDD choices, partitioning, broadcast joins, skew handling, caching, and cluster configuration for big data pipelines.