2.1K skills · sorted by relevance
Build Java applications that detect unusual patterns in time-series data with Azure AI Anomaly Detector. Covers single measurements, related signals, trend changes, model training, and checking detection results.
Plan centralized audit logging for infrastructure and applications. Use configuration examples and checklists to record security events, define retention, assess tamper detection, and connect logs to SIEM platforms, systems that collect and analyze security information.
Deploy container applications on AWS using ECS and Fargate, which runs containers without managing servers. Covers image publishing, task configuration, load balancing, automatic scaling, deployment updates, and troubleshooting failed or unhealthy containers.
Build Python applications that keep other tasks moving while waiting for network, database, or file operations. Guides the choice of asyncio patterns, with timeouts, cancellation, error handling, and testing for asynchronous code.
Build AWS applications that run without managing servers directly. Covers Lambda functions, APIs, DynamoDB storage, message-driven workflows with SQS/SNS, deployment through SAM/CDK, and reducing the delay when a function starts for the first time.
Set up ArgoCD to keep Kubernetes deployments aligned with configuration stored in Git, an approach called GitOps. Follow guidance for multiple environments, automatic synchronization, deployment ordering, access permissions, and troubleshooting differences.
Turn a plain language app request into a project plan, technology choices, and coordinated development tasks. Use project templates to structure web, mobile, desktop, API, or command line applications, with agents handling different development responsibilities.
Develop Angular v20+ applications using Signals for reactive state and Standalone Components. Supports gradual migration from NgModules, Zoneless configuration, server-side rendering, hydration, and performance optimization with development testing before production use.
Integrate cryptocurrency exchanges into Go applications with CCXT. Follow examples for market data, order management, authentication, and error handling, using REST for individual requests and WebSocket streams to monitor prices, order books, balances, and orders.
Integrate cryptocurrency exchanges into PHP applications with CCXT. Follow examples for market data, orders, authentication, and errors, with synchronous requests, ReactPHP asynchronous processing that avoids waiting on each request, and WebSocket connections for live updates.
Assess the security of LLM applications and AI agents by tracing inputs, retrieved content, tool calls, and outputs. Covers prompt injection, where content carries unwanted instructions, along with permission misuse, memory poisoning, and supply-chain risks.
Build concurrent Go applications with goroutines, lightweight execution units, and channels for communication. Apply patterns for worker pools, cancellation, synchronization, and orderly shutdown, and investigate race conditions when concurrent operations access shared data.
Build and debug asynchronous Rust applications with Tokio, a runtime for scheduling work while operations wait. Apply patterns for task management, channels, error handling, cancellation, and concurrency limits when developing network services and other concurrent systems.
Configure Prometheus to collect and store operational metrics from infrastructure and applications. Covers collection schedules, alert rules, automatic discovery of monitored services, and troubleshooting checks to help establish and maintain monitoring.
Choose embedding models, which represent text as numerical vectors, for meaning-based search and RAG applications. Compare options for code, prose, and multilingual content, and plan document splitting, preprocessing, caching, and dimension reduction to improve retrieval quality.
Build AI applications that answer questions using retrieved documents. Covers vector databases, text embeddings that represent meaning as numbers, search strategies, and result reranking to connect language models with external knowledge.
Generate Kubernetes YAML files that define how applications run, connect, receive configuration, and use persistent storage. Include resource limits, health checks, security settings, labels, and validation guidance for production-oriented deployments.
Design and refine prompts for AI applications using examples, reusable templates, and structured outputs such as JSON. Test variations for accuracy, consistency, response time, and token usage to diagnose unreliable answers and formatting failures.
Evaluate LLM applications using automated scores, human reviews, and model-based judging. Build repeatable checks to compare models or prompts, assess answer quality, and detect declines in performance before deployment.
Set up and organize an Nx monorepo, a shared repository for multiple applications and libraries. Define dependency boundaries, configure build caching, and use affected commands to focus CI tasks on projects impacted by changes.
Build Next.js applications with App Router patterns for page structure, data fetching, caching, and progressive page loading. Covers server and browser component responsibilities, route design, Server Actions, and migration from Pages Router.
Modernize existing React applications through version upgrades and migration from class components to Hooks, functions for state and lifecycle behavior. Includes React 18 rendering APIs, grouped state updates, and features for prioritizing interface updates.
Design and build an OpenMAIC lesson series using a spiral curriculum: core ideas return with deeper explanations, new representations, and unfamiliar applications. It maps conceptual growth across lessons and checks that revisits add understanding.
Investigate LLM application failures with Phoenix CLI by reviewing execution records, recording observations, and grouping mistakes into counted categories. Inspect datasets and experiments to identify which failure types deserve evaluation tests first.