Skill UI

A comprehensive strategy for regression testing in AI-assisted development. It focuses on identifying systematic blind spots, such as schema inconsistencies between sandbox and production paths, and integrating automated bug checks into the development workflow. This guide teaches how to build robust, database-free API tests to ensure code quality when AI models contribute to the codebase.

This skill guides the implementation and auditing of advanced network segmentation within Kubernetes using Calico. It enables establishing zero-trust microsegmentation by creating and managing NetworkPolicy and GlobalNetworkPolicy resources. Use this to strictly control pod-to-pod traffic, enforce namespace isolation, restrict egress rules, and apply DNS-based security policies, significantly hardening your cluster's security posture.

This guide teaches how to implement and audit Google Cloud Platform (GCP) VPC firewall rules using gcloud. It covers creating restrictive ingress and egress rules, enforcing network segmentation using tags and service accounts, and auditing for overly permissive settings. Ideal for compliance, zero-trust architectures, and responding to security findings.

A comprehensive guide to implementing Kubernetes NetworkPolicies, which enforce granular ingress and egress rules at the pod level. This skill enables zero-trust microsegmentation by defining default-deny rules, allowing specific traffic flows (like DNS or inter-service communication), and blocking sensitive access (e.g., cloud metadata). Essential for securing containerized workloads and preventing lateral movement within a cluster.

A comprehensive guide for performing structured API security testing using Postman. It covers critical OWASP API Security Top 10 vulnerabilities, including BOLA, authentication bypass, and injection flaws. Ideal for building repeatable security regression tests, simulating multi-role user access, and integrating automated validation into CI/CD pipelines via Newman and OWASP ZAP.

This skill reviews code differences (diffs) to identify opportunities for improvement in clarity, reusability, efficiency, and overall quality. It employs multiple specialized sub-agents (e.g., Code Reuse, Efficiency, Quality) to audit changes. It can provide high-confidence, behavior-preserving fixes when requested, ensuring the code adheres to best practices without introducing regressions. Best used when refactoring, cleaning up, or auditing a specific code scope.

Coordinated end-to-end testing workflow that leverages Playwright for browser automation, visual regression comparisons, cross-browser coverage, and CI/CD integration so teams can validate web apps before release.

A comprehensive tool for establishing performance baselines across multiple dimensions. It measures Core Web Vitals (LCP, CLS, INP), API latency (p50, p95, p99), and development build efficiency. Essential for detecting performance regressions before merging code, ensuring stability in CI/CD pipelines, and comparing alternative stack implementations.

Automates comprehensive end-to-end Quality Assurance (QA) for deployed web applications. This skill performs multi-stage testing, including smoke tests, complex user interactions (forms, authentication), visual regression checks across breakpoints, performance monitoring (Core Web Vitals), and WCAG accessibility audits.

This skill monitors for regressions on deployed URLs following deployments, merges, or dependency upgrades. It performs comprehensive checks including HTTP status, console errors, network failures, performance metrics (LCP/CLS/INP), and crucial API endpoint health, ensuring service stability in production or staging environments. Supports quick checks, continuous monitoring, and differential comparison against baselines.

A comprehensive guide for Go developers covering the entire performance measurement lifecycle. Learn how to write rigorous benchmarks using b.Loop(), track memory allocations, run tests with various flags (e.g., -benchmem, -cpuprofile), and analyze results using profiling tools like pprof and benchstat. Ideal for ensuring code stability, detecting regressions, and optimizing critical paths.

This skill guides the use of Patrol for writing robust End-to-End (E2E) and integration tests in Flutter. It is essential for validating complex user flows, interactions with native APIs (like permissions or deep links), and ensuring cross-platform consistency across Android, iOS, and Web. It helps capture UI regressions and validates the entire application state.