Skill UI

Soak Test Planner automates guidance for long-duration performance testing; it triggers when soak test patterns are mentioned, helps configure load, stress, and benchmark scenarios, generates ready-to-run code and configs, and validates outputs against industry standards.

This skill provides comprehensive guidelines for architecting and developing high-quality, maintainable software. It is deeply rooted in Clean Architecture and Domain-Driven Design (DDD) principles. It covers best practices for code decomposition, naming conventions, separation of concerns, and avoiding common anti-patterns. Use this skill when designing, analyzing, or developing complex, domain-specific software systems.

Automates guidance for sorting parameter handlers in API development, covering REST, GraphQL, OpenAPI, authentication, and design patterns, with step-by-step best practices and production-ready validation.

This guide helps developers diagnose and fix common issues encountered when integrating the Speak API. It covers critical errors such as authentication failures, incorrect audio formats, rate limiting (429), and session expiration. The resource includes comprehensive HTTP error code reference tables, diagnostic commands (cURL, ffprobe), and resilient code patterns for implementing robust, production-ready error recovery mechanisms.

This guide provides robust patterns for managing external API rate limits, specifically detailing the implementation of exponential backoff, request queuing, and throttling strategies. It uses TypeScript examples to ensure stable and reliable API interactions. Use this when building production-grade applications that require frequent, high-volume calls to rate-limited services, such as language learning APIs.

This guide provides production-ready patterns for integrating the Speak language learning API. It covers managing conversation sessions, performing pronunciation assessment, preprocessing audio files using ffmpeg, implementing robust retry mechanisms (with backoff), and tracking user learning progress. Use this when developing a full-featured, high-reliability language learning application or troubleshooting complex API integrations.

Guides Java engineers through Spring Boot backend architecture, REST API design, service layering, repository patterns, caching, async handlers, logging, middleware, and resilience practices for scalable production services.

Guides test automation practitioners through configuring spy setup helpers, covering unit and integration testing, mocking patterns, and framework setup whenever the trigger phrase is mentioned.

This skill provides systematic patterns and best practices for transforming slow database queries into high-performance operations. It covers techniques like proper indexing, query plan analysis (e.g., using EXPLAIN), schema design improvements, and resolving common issues like N+1 query problems. Use it to debug performance bottlenecks, reduce database load, and ensure scalable application backends.

Automates AWS SQS queue setup by guiding users through best-practice architecture, configuration, and code output, triggering whenever someone asks about queue creation or patterns.

Assists API developers by recommending appropriate status codes, explaining patterns, and generating production-ready REST/GraphQL/OpenAPI snippets with validations.

Offers automated AWS Step Functions workflow support, triggering on relevant requests to guide users through common patterns, best practices, and production-ready code plus configuration snippets validated against standards.