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Found 22 Skills
Java 编码最佳实践与设计模式
Production Python coding standards with automatic version detection (3.10-3.13). Use when writing, reviewing, or refactoring Python to ensure adherence to modern type syntax, LBYL exception handling, pathlib operations, ABC-based interfaces, and production-tested patterns. Not Dagster-specific - applies to any Python project.
Use to manage legal, security, and procurement workflows for complex deals.
Java 开发规范，包含命名约定、异常处理、Spring Boot 最佳实践等
Master core Java programming - syntax, OOP, collections, streams, and exception handling
Kotlin/Spring Boot 3.x patterns - use for backend services, REST APIs, dependency injection, controllers, and service layers
Intelligent error detection and recovery for autonomous coding. Use when handling errors, implementing retry logic, recovering from failures, or managing exception handling.
Use when Java XML-RPC API work requires contract decisions for fault signaling and interoperability, including defining XmlRpcException-based failures, replacing void returns with explicit operation results, reviewing handlers for return-code anti-patterns, and migrating DTOs from Serializable to JAXB.
Get best practices for C# async programming
Unit tests for service layer with Mockito. Test business logic in isolation by mocking dependencies. Use when validating service behaviors and business logic without database or external services.
Kotlin coroutines - structured concurrency, Flows, exception handling
Execute advanced error capture and context enrichment with Sentry. Use when implementing detailed error tracking, adding context, or customizing error capture behavior. Trigger with phrases like "sentry error capture", "sentry context", "enrich sentry errors", "sentry exception handling".