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Found 776 Skills
You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging, and ensure teams can quickly identify and resolve production issues.
Use when building comprehensive monitoring and observability systems.
Orchestrate the complete advisor workflow for assembling and delivering a comprehensive financial plan, from data gathering through recommendations and ongoing monitoring. Use when the user asks about building a financial plan for a client, structuring a planning engagement, coordinating retirement and education and estate goals into one plan, running scenario analysis across a full financial picture, prioritizing competing recommendations, preparing for a plan presentation meeting, or deciding when a plan needs updating. Also trigger when users mention 'comprehensive financial plan', 'discovery meeting', 'cash flow analysis', 'retirement modeling', 'education funding gap', 'plan delivery', 'savings rate', 'plan update trigger', or 'is my client on track'.
Post-investment monitoring via Longbridge Securities — tracks portfolio holdings vs plan on a quarterly / monthly basis, extracts key KPIs (revenue growth / gross margin / cash flow), flags deviations vs expectations, and generates a monitoring report with add / reduce / stop-loss recommendations. Triggers: "投后监控", "持仓监控", "定期复盘", "跟踪持仓", "持仓检视", "KPI跟踪", "业绩追踪", "投後監控", "持倉監控", "定期複盤", "追蹤持倉", "KPI追蹤", "post-investment monitoring", "position monitoring", "portfolio review", "KPI tracking", "performance tracking", "investment monitoring", "holding review".
World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.
Expert Django and Celery guidance for asynchronous task processing. Use when designing background tasks, configuring workers, handling retries and errors, optimizing task performance, implementing periodic tasks, or setting up production monitoring. Follows Celery best practices with Django integration patterns.
Monitor database performance and health. Use when setting up monitoring, analyzing metrics, or troubleshooting database issues.
Deploy and manage web apps using Azure App Service with auto-scaling, deployment slots, SSL/TLS, and monitoring. Use for hosting web applications on Azure.
Expert RabbitMQ administrator and developer specializing in message broker architecture, exchange patterns, clustering, high availability, and production monitoring. Use when designing message queue systems, implementing pub/sub patterns, troubleshooting RabbitMQ clusters, or optimizing message throughput and reliability.
Health check endpoints for liveness, readiness, dependency monitoring. Use for Kubernetes, load balancers, auto-scaling, or encountering probe failures, startup delays, dependency checks, timeout configuration errors.
Monitoring guidelines for applications and infrastructure including metrics collection, alerting strategies, and SLO-based monitoring
Web page monitoring, change detection, and availability tracking. Use when tracking content changes, detecting when pages go down, monitoring for updates, preserving content before deletion, or generating feeds for pages without RSS. Covers Visualping, ChangeTower, Distill.io, and self-hosted monitoring solutions.