Implements Amazon Simple Notification Service (SNS) for building and managing message-driven applications through an event-driven architecture.
EnglishImplements production-grade backpressure mechanisms (bounded queues, adaptive rate limiting, circuit breakers, priority queuing) to prevent resource exhaustion in high-throughput event-driven message systems.
EnglishDesigns production configuration management with schema validation, hierarchical merging of config sources, hot reload capabilities, secret injection from vaults, and environment-specific defaults for reliable deployment.
EnglishDetects and resolves common Domain-Driven Design anti-patterns including god aggregates, anemic domain models, context creep, repository leakage, specification over-engineering, and domain service sprawl in DDD codebases.
EnglishIdentifies and remediates anti-patterns arising from misuse of GoF design patterns including over-engineering, gold plating, dependency inversion violations, and structural code smells in Python systems.
EnglishImplements Jakarta Security Enterprise API (JSR 375) for Jakarta EE applications with IdentityStore patterns, JWT Bearer tokens, form login, BCrypt password hashing, and container configuration for WildFly and OpenLiberty.
EnglishImplements vertical scaling, database optimization, caching tiering, deployment patterns, CI/CD pipelines, and observability strategies for growing monolithic applications to delay or eliminate premature service decomposition.
EnglishSelects the optimal runtime ecosystem (JVM, .NET, Node.js/V8, native compilation) based on deployment characteristics, performance requirements, and operational constraints for production systems.
EnglishDecomposes agent instructions into action verbs with explicit success criteria per verb class to eliminate ambiguity and ensure LLMs correctly interpret intended operations.
English
AGENT SKILLS ATLASIncludes Backpressure Handling, Configuration Management Patterns, Ddd Anti Patterns, and other workflows.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLISupported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
AWS Sns
Implements Amazon Simple Notification Service (SNS) for building and managing message-driven applications through an event-driven architecture.
Backpressure Handling
Implements production-grade backpressure mechanisms (bounded queues, adaptive rate limiting, circuit breakers, priority queuing) to prevent resource exhaustion in high-throughput event-driven message systems.
Configuration Management Patterns
Designs production configuration management with schema validation, hierarchical merging of config sources, hot reload capabilities, secret injection from vaults, and environment-specific defaults for reliable deployment.
Ddd Anti Patterns
Detects and resolves common Domain-Driven Design anti-patterns including god aggregates, anemic domain models, context creep, repository leakage, specification over-engineering, and domain service sprawl in DDD codebases.
Design Pattern Anti Patterns
Identifies and remediates anti-patterns arising from misuse of GoF design patterns including over-engineering, gold plating, dependency inversion violations, and structural code smells in Python systems.
Jakarta Security
Implements Jakarta Security Enterprise API (JSR 375) for Jakarta EE applications with IdentityStore patterns, JWT Bearer tokens, form login, BCrypt password hashing, and container configuration for WildFly and OpenLiberty.
Monolith Scaling Strategies
Implements vertical scaling, database optimization, caching tiering, deployment patterns, CI/CD pipelines, and observability strategies for growing monolithic applications to delay or eliminate premature service decomposition.
Runtime Ecosystem Selection
Selects the optimal runtime ecosystem (JVM, .NET, Node.js/V8, native compilation) based on deployment characteristics, performance requirements, and operational constraints for production systems.
Verb Based Instruction Design
Decomposes agent instructions into action verbs with explicit success criteria per verb class to eliminate ambiguity and ensure LLMs correctly interpret intended operations.
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