Skill UI

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.

This skill provides a comprehensive audit workflow for diagnosing performance issues in SwiftUI applications. It begins with a code-first review, identifying common performance smells like invalidation storms or layout thrash. If code inspection is insufficient, it guides the user through collecting runtime profiling evidence (e.g., Instruments data) to pinpoint root causes such as janky scrolling, high CPU usage, or memory leaks.

Refactors large SwiftUI views into small, stable components by enforcing explicit dependency injection, keeping business logic in services/models, and avoiding unnecessary view models so the UI tree stays predictable and maintainable.

A comprehensive guide to designing scalable, cost-effective, and compliant architectures on Microsoft Azure. This skill covers the entire lifecycle, from gathering detailed business requirements (SLA, RPO/RTO) and selecting appropriate service patterns (AKS, Serverless, Data Factory), to generating Infrastructure as Code (IaC) using Bicep. It also includes steps for cost optimization, reserved instance planning, and setting up robust CI/CD pipelines via Azure DevOps or GitHub Actions.

This comprehensive workflow guides the design, optimization, and deployment of scalable, cost-effective Google Cloud Platform (GCP) architectures for both startups and large enterprises. It covers the full lifecycle, from gathering detailed requirements (compliance, SLA) and recommending optimal patterns (Serverless, GKE, Data Pipelines) to estimating costs, generating Infrastructure as Code (IaC) using Terraform, setting up CI/CD pipelines, and completing a thorough security review.

Provides offensive security testing methodology, tooling guidance, and workflows for scanning web apps, APIs, dependencies, secrets, and infrastructure to uncover vulnerabilities before attackers exploit them.

This guide enforces the 'spec-first' principle in software development, treating the specification as a non-negotiable contract. It outlines a rigorous, multi-stage workflow detailing mandatory sections (Functional/Non-Functional Requirements, Acceptance Criteria, API Contracts, Data Models) and bounded autonomy rules. Users learn how to define the system 'must do' before writing a single line of code, thereby minimizing rework and eliminating scope creep.

Score MCP servers, APIs, or CLI tools with Clarvia AEO, surfacing agent-readiness across API access, data structuring, compatibility, and trust signals before workflows or CI gates.

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.

This skill enforces a rigorous, 5-phase debugging protocol (Reproduce, Isolate, Root Cause, Fix, Verify) for AI coding agents. It forces a disciplined approach, preventing agents from guessing fixes or making premature edits. Use this when debugging complex, intermittent, or hard-to-isolate bugs to ensure the root cause is fully confirmed before any code changes are applied, maximizing debugging accuracy.

Guides Python developers through architecture decisions, framework choices, async vs. sync trade-offs, type-hint strategies, and project structure best practices for 2025 projects.

This guide provides comprehensive patterns for designing and implementing secure multi-tenant SaaS applications using shared databases. It covers critical techniques like Row-Level Security (RLS) in PostgreSQL, implementing tenant-aware middleware in TypeScript (Express/Fastify), and enforcing data scoping at the ORM level (Prisma/Drizzle). Learn how to prevent data leakage and manage tenant isolation across shared schemas.