Master AI-powered test automation with modern frameworks,
Master AI-powered test automation with modern frameworks,
Master AI-powered test automation with modern frameworks,
Master AI-powered test automation with modern frameworks,
When validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness. Covers load testing (k6, Locust), profiling (CPU, memory, I/O),...
When validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness. Covers load testing (k6, Locust), profiling (CPU, memory, I/O),...
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Elite code review expert specializing in modern AI-powered code
Elite code review expert specializing in modern AI-powered code
Elite code review expert specializing in modern AI-powered code
Elite code review expert specializing in modern AI-powered code
Elite code review expert specializing in modern AI-powered code
Comprehensive security architecture combining threat modeling, security-first design, secure coding review, and compliance validation. Consolidated from threat-modeling, security-first-design,...
Validate NIST SP 800-53 control implementation with evidence mapping, gap analysis, automated testing, and compliance reporting across 20 control families.
Senior Information Security Manager specializing in ISO 27001 and ISO 27002 implementation for HealthTech and MedTech companies. Provides ISMS implementation, cybersecurity risk assessment,...
Design edge computing solutions with CDN integration, edge functions, IoT device management, and latency-optimized deployment patterns.
Use when designing new system architecture, reviewing existing designs, or making architectural decisions. Invoke for system design, architecture review, design patterns, ADRs, scalability planning.
Use when designing new system architecture, reviewing existing designs, or making architectural decisions. Invoke for system design, architecture review, design patterns, ADRs, scalability planning.
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets...
Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, or managing experiment tracking systems.