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Found 356 Skills
This skill should be used when adding error tracking and performance monitoring with Sentry and OpenTelemetry tracing to Next.js applications. Apply when setting up error monitoring, configuring tracing for Server Actions and routes, implementing logging wrappers, adding performance instrumentation, or establishing observability for debugging production issues.
Comprehensive guide for production-ready Python backend development and software architecture at scale. Use when designing APIs, building backend services, creating microservices, structuring Python projects, implementing database patterns, writing async code, or any Python backend/server-side development task. Covers Clean Architecture, Domain-Driven Design, Event-Driven Architecture, FastAPI/Django patterns, database design, caching strategies, observability, security, testing strategies, and deployment patterns for high-scale production systems.
Monitoring and observability patterns for Prometheus metrics, Grafana dashboards, Langfuse LLM tracing, and drift detection. Use when adding logging, metrics, distributed tracing, LLM cost tracking, or quality drift monitoring.
Elasticsearch and Elastic APM integration with Serilog structured logging for .NET applications. Use when: (1) Implementing or configuring Serilog with Elasticsearch sink, (2) Setting up Elastic APM with data streams and authentication, (3) Creating logging extension methods in Infrastructure layer, (4) Enriching logs with app-name and app-type properties, (5) Configuring log levels and environment-specific logging, (6) Questions about logging security (PII, credentials), or (7) Troubleshooting observability and monitoring setup.
Testing in production with feature flags, canary deployments, synthetic monitoring, and chaos engineering. Use when implementing production observability or progressive delivery.
Expert guidance for designing, implementing, and maintaining cloud infrastructure using Experience in Infrastructure as Code (IaC) principles. Use this skill for architecting cloud solutions, setting up CI/CD pipelines, implementing observability, and following SRE best practices.
Senior Java & Spring Boot 4 / Spring Framework 7 architect skill for 2026-standard development. Use when the user asks to build, scaffold, design, review, or explain Java applications using Spring Boot 4.x, Spring Framework 7.x, Spring Modulith, or any related Spring ecosystem project. Triggers include: creating REST APIs, designing microservices, configuring data access (JdbcClient, JPA 3.2, R2DBC), reactive programming (WebFlux), security (Spring Security 7), observability, GraalVM native images, Gradle/Maven build configuration, Jakarta EE 11 migration, and any task requiring idiomatic modern Java (Java 25: records, sealed classes, structured concurrency, scoped values, pattern matching, JSpecify null safety).
Instruments Python and TypeScript code with MLflow Tracing for observability. Triggers on questions about adding tracing, instrumenting agents/LLM apps, getting started with MLflow tracing, or tracing specific frameworks (LangGraph, LangChain, OpenAI, DSPy, CrewAI, AutoGen). Examples - "How do I add tracing?", "How to instrument my agent?", "How to trace my LangChain app?", "Getting started with MLflow tracing", "Trace my TypeScript app"
Azure Application Insights SDK for .NET. Application performance monitoring and observability resource management. Use for creating Application Insights components, web tests, workbooks, analytics items, and API keys. Triggers: "Application Insights", "ApplicationInsights", "App Insights", "APM", "application monitoring", "web tests", "availability tests", "workbooks".
Guides Docker, CI/CD pipelines, deployment strategies, infrastructure as code, and observability setup. Use when writing Dockerfiles, configuring GitHub Actions, planning deployments, setting up monitoring, or when asked about containers, pipelines, Terraform, or production infrastructure.
Vercel Observability expert guidance — Drains (logs, traces, speed insights, web analytics), Web Analytics, Speed Insights, runtime logs, custom events, OpenTelemetry integration, and monitoring dashboards. Use when instrumenting, debugging, or optimizing application performance and user experience on Vercel.
Spring Modulith for modular architecture in Spring Boot 3.x. Covers module structure, API vs internal packages, inter-module events, module testing, documentation generation, and observability. USE WHEN: user mentions "spring modulith", "modular monolith", "@ApplicationModule", "module boundaries", "inter-module events", "@ApplicationModuleTest", "modular architecture" DO NOT USE FOR: simple applications - unnecessary complexity, microservices - use proper service boundaries, existing tightly coupled monoliths - requires significant refactoring