Loading...
Loading...
Found 1,444 Skills
List Langfuse traces with filtering options. Use when checking recent LLM calls, debugging issues, or monitoring costs.
Realtime Monitoring - Continuously track the market quotes of your watchlist stocks and set price alerts
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.
Reporting framework for monitoring trust, sentiment, and regulator-facing KPIs.
Comprehensive MLOps workflows for the complete ML lifecycle - experiment tracking, model registry, deployment patterns, monitoring, A/B testing, and production best practices with MLflow
Implement consistent error handling with custom error classes, error boundaries, and structured error responses. Covers logging, monitoring, and user-friendly messages.
Enables autonomous context management for codebases through claude.md files. Use when creating, maintaining, or synchronizing AI agent context. Provides tools and workflows for monitoring context health, detecting staleness, and updating intelligently. Helps Claude work proactively as a context manager.
CI/CD pipeline design, containerization, and infrastructure management. Handles Docker, Kubernetes, monitoring setup (Prometheus/Grafana), and infrastructure-as-code (Terraform/Pulumi).
Use when establishing tests, monitoring, and incident response for analytics models.
Testing in production with feature flags, canary deployments, synthetic monitoring, and chaos engineering. Use when implementing production observability or progressive delivery.
Load PROACTIVELY when task involves deploying, hosting, or CI/CD pipelines. Use when user says "deploy this", "set up CI/CD", "add Docker", "configure Vercel", or "set up monitoring". Covers platform-specific deployment (Vercel, Railway, Fly.io, AWS), Dockerfile creation, environment variable management, CI/CD pipeline configuration (GitHub Actions), preview deployments, health checks, rollback strategies, and production monitoring setup.
Provides comprehensive patterns for deploying Next.js applications to production. Use when configuring Docker containers, setting up GitHub Actions CI/CD pipelines, managing environment variables, implementing preview deployments, or setting up monitoring and logging for Next.js applications. Covers standalone output, multi-stage Docker builds, health checks, OpenTelemetry instrumentation, and production best practices.