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Found 228 Skills
Audits HealthTech applications for HIPAA technical safeguards like encryption and audit logging. Use when reviewing healthcare infrastructure or ensuring PHI is handled according to legal security standards.
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.
Automatically discover observability and monitoring skills when working with Prometheus, Grafana, distributed tracing, structured logging, metrics, alerting, dashboards, or monitoring. Activates for observability development tasks.
Tools for reading and analyzing Arduino serial monitor output for enhanced debugging. Provides real-time monitoring, data logging, filtering, and pattern matching to help troubleshoot Arduino sketches using arduino-cli or Arduino IDE.
Analyze code repository logging coverage to ensure all function branches have LOGE/LOGI logs and identify high-frequency log risks. Supports multiple programming languages (C++, Java, Python, JavaScript, etc.)
Complete development skill set for the ABE Framework, providing a full-stack solution for modern Go HTTP RESTful API application development. Core features include: modular engine architecture, standardized controller route registration, global and route-level middleware system, dependency injection container (supporting global and request-level scopes), multi-language internationalization (i18n) support, access control system based on JWT and Casbin, asynchronous event bus mechanism, high-performance goroutine pool management, extensible plugin mechanism, configuration management system (supporting multi-layer configuration priority), GORM database integration, structured logging system, form validation framework, scheduled task scheduling (Cron), CORS cross-domain support, etc. Suitable for scenarios such as building enterprise-level web services, microservice architecture applications, API gateways, and backend management systems. The framework adopts a loose-coupling design, supports the UseCase business logic pattern, provides a complete error handling mechanism and performance monitoring capabilities, helping enterprises quickly build stable and maintainable distributed application systems.
Structured JSON logging with correlation IDs, request context propagation across async boundaries, performance timing decorators, and worker metrics collection.
Comprehensive audit logging for compliance and security. Track user actions, data changes, and system events with tamper-proof storage.
Implement middleware for authentication, logging, CORS, and request processing. Use for cross-cutting concerns and request/response modification.
Implement request logging, tracing, and observability. Use for debugging, monitoring, and production observability.
Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.
Expert guidance for building production-ready FastAPI applications with modular architecture where each business domain is an independent module with own routes, models, schemas, services, cache, and migrations. Uses UV + pyproject.toml for modern Python dependency management, project name subdirectory for clean workspace organization, structlog (JSON+colored logging), pydantic-settings configuration, auto-discovery module loader, async SQLAlchemy with PostgreSQL, per-module Alembic migrations, Redis/memory cache with module-specific namespaces, central httpx client, OpenTelemetry/Prometheus observability, conversation ID tracking (X-Conversation-ID header+cookie), conditional Keycloak/app-based RBAC authentication, DDD/clean code principles, and automation scripts for rapid module development. Use when user requests FastAPI project setup, modular architecture, independent module development, microservice architecture, async database operations, caching strategies, logging patterns, configuration management, authentication systems, observability implementation, or enterprise Python web services. Supports max 3-4 route nesting depth, cache invalidation patterns, inter-module communication via service layer, and comprehensive error handling workflows.