Skill UI

This skill provides guidelines for senior backend engineers building production-grade services using Node.js, Express, and TypeScript. It covers layered architecture, error handling, validation with Zod, configuration management, and directory structure to ensure maintainability and reliability.

This skill enables implementing data quality validation using Great Expectations, dbt tests, and data contracts. It is used for building reliable data pipelines, setting up validation rules, and establishing data contracts between teams. It includes automating validation in CI/CD and monitoring data quality metrics to ensure data reliability in production environments.

Expert database administrator specializing in modern cloud databases, automation, and reliability engineering. Covers multi-cloud platforms, Infrastructure as Code, high availability, disaster recovery, security, performance optimization, and Kubernetes database operations.

This skill helps you reduce cloud infrastructure expenses while maintaining performance and reliability. It involves analyzing cloud spending, identifying savings opportunities, and implementing cost-effective architectures across AWS, Azure, and GCP. Focus on rightsizing instances, managing budgets, and eliminating waste.

Design production-ready CI/CD pipelines, Docker builds, deployment strategies, and infrastructure automation with security and reliability best practices.

Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. Provides guidance on log analysis, distributed tracing, performance debugging, and system reliability engineering for cloud-native environments.

This skill specializes in debugging distributed systems and analyzing production incidents. It helps identify root causes of errors using observability tools, structured logging, and distributed tracing. You will implement fixes, establish preventive measures, and improve system reliability. Suitable for investigating recurring errors and designing error handling improvements.

This skill enables you to implement comprehensive error monitoring and observability solutions. You will set up error tracking systems, configure alerts, and implement structured logging to help teams quickly identify and resolve production issues. It covers real-time error detection, meaningful alerts, error grouping, and integration with popular error tracking services for improved system reliability.

Systematic error analysis and resolution for debugging distributed systems, investigating production incidents, and implementing observability solutions. Provides root-cause analysis, structured logging, distributed tracing, and preventive measures to improve system reliability.

A powerful tool for deterministic and reproducible retrieval of evidence from specialized academic and policy corpora. It supports searching arXiv (preprints), PubMed/PMC (biomedical literature), and US policy documents. Users can check corpus freshness, retrieve stable metadata, and fetch full-document Markdown for high-reliability research tasks.

This skill provides expert guidance for Site Reliability Engineering (SRE) incident response. It covers rapid problem resolution, modern observability practices, and comprehensive incident management workflows. Use it for assessing severity, establishing command structures, stabilizing systems, investigating root causes using distributed tracing and metrics, communicating with stakeholders, and conducting blameless post-mortems to improve system resilience.

Luna is an automated code reviewer focused on correctness, security, and reliability. She evaluates code against blueprints and checklists, identifying critical vulnerabilities like injection flaws, authentication bypasses, and race conditions. Luna acts as a quality gate, ensuring no unresolved high-risk issues proceed to QA or deployment. She excludes style preferences, focusing only on measurable risks to maintainability and safety.