Explorar skills

You are a frontend designer-engineer, not a layout generator.

Comprehensive testing and QA workflow covering unit testing, integration testing, E2E testing, browser automation, and quality assurance.

Machine learning in Python with scikit-learn. Use for classification, regression, clustering, model evaluation, and ML pipelines.

Otimize jobs do Apache Spark com particionamento, cache, otimização de shuffle e ajuste de memória. Utilize ao melhorar o desempenho do Spark, depurar jobs lentos ou escalar pipelines de processamento de dados.

Automate Shopify tasks via Rube MCP (Composio): products, orders, customers, inventory, collections. Always search tools first for current schemas.

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability.

Comprehensive design guide for web and mobile applications. Use when designing new UI components or pages, choosing color palettes and typography, or reviewing code for UX issues.

Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices.

Use when working with code refactoring context restore

Assess WordPress installations for common vulnerabilities and WordPress 7.0 attack surfaces.

Migration monitoring, CDC, and observability infrastructure

This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.