Skill UI

A comprehensive skill to identify, analyze, prioritize, and track technical debt across large codebases. It provides three interconnected tools: a Debt Scanner, a Debt Prioritizer (using cost-of-delay frameworks), and a Debt Dashboard. This system helps engineering teams make data-driven decisions to balance new features with necessary maintenance and refactoring work, ensuring the long-term sustainability of software systems.

Analyze frameworks, platforms, and cloud providers with weighted scoring, ecosystem health, TCO, security, and migration insights so decision makers can confidently compare stacks before committing.

This skill generates comprehensive Technical Design Documents (TDDs), guiding users through structuring architectural decisions, implementation plans, and risk assessments. It follows industry best practices from standards like Google Design Docs, RFC patterns, and ADRs. It focuses on high-level contracts and architectural 'what' and 'why', rather than specific, low-level implementation code.

Provides Terraform and OpenTofu best-practice guidance for module design, testing selection, CI/CD pipeline setup, security scanning, and architecture decisions in production infrastructure-as-code projects.

Master the architecture of reliable distributed systems using advanced workflow orchestration patterns. This guide covers fundamental design decisions, including the distinction between Workflows and Activities, and introduces critical patterns like Saga for distributed transactions, Entity Workflows, and Fan-Out/Fan-In. Learn best practices for handling long-running processes, state persistence, and failure recovery to build robust business logic.

A comprehensive guide for developing, optimizing, and standardizing skills for AI agents. This resource provides a decision tree for choosing the right architecture (Tier 1-3), incorporating best practices like CSO (LLM SEO) and Anti-Rationalization, and ensuring compliance through rigorous testing and checklists. Essential for robust AI system building.

Python framework for multi-objective optimization, offering NSGA-II/III, MOEA/D, benchmark suites, customizable operators, and visualization to help engineering teams explore Pareto fronts and make multi-criteria decisions.

This comprehensive guide helps users build, audit, and debug robust analytics tracking systems using GA4 and Google Tag Manager. It focuses on establishing a consistent event taxonomy and capturing every meaningful user action—from initial visits to complex conversions—ensuring data integrity for accurate decision-making.

A comprehensive guide detailing best practices for building high-quality, native-feeling applications using Expo Router. It covers advanced topics like component usage, advanced styling (flexbox, gradients), responsiveness, navigation patterns, and critical decisions on whether to use Expo Go or custom native builds.

Scans cryptographic implementations to flag operations whose timing decisions leak secrets, offering language-specific guides, architecture/optimization options, and output modes so teams can enforce constant-time practices across reviews and CI.

A comprehensive quick reference guide for functional programming types in TypeScript using the fp-ts library. It helps users decide which type (`Option`, `Either`, `Task`, etc.) to use based on whether operations are synchronous, asynchronous, and if they involve errors or missing values. It provides decision trees, common import patterns, and utility function patterns for robust TypeScript development.

Provides architecture design support including ADR templates, system design checklists, scalability assessment prompts, architecture patterns, and API guidance so engineers can document decisions and ensure reliability during technical design phases.