Skill UI

A comprehensive expert system for analyzing software codebases to identify, quantify, and prioritize technical debt across various dimensions (code, architecture, testing, infrastructure). It provides detailed metrics, impact assessments (development velocity, quality loss), and actionable, prioritized remediation roadmaps with clear ROI projections.

Automates cohort analysis creation by offering step-by-step analytics guidance, SQL patterns, visualization advice, and validation so analysts can produce production-ready insights within data analytics workflows.

Provides comprehensive frameworks and best practices for conducting thorough competitive landscape analysis. This skill helps users systematically analyze market competition, identify potential market gaps, pinpoint differentiation opportunities, and develop robust, winning market positioning strategies to secure a sustainable competitive advantage.

Analyzes namespaces to spot root-level orphaned classes, highlights hierarchy violations, and produces flattening or refactoring plans that keep components at leaf-level directories.

Detects operations in cryptographic code that leak secrets via timing side channels, guiding developers through multi-language analysis and CLI flags for warnings, filtering, architecture, and optimization levels.

Analyzes module coupling using the three-dimensional model from Balancing Coupling in Software Design to evaluate dependency strength, distance, and volatility, pinpoint architectural smells, and guide decoupling or integration decisions.

Analyzes code coverage during fuzzing campaigns to assess harness quality, spot blockers like magic values, and guide instrumentation or corpus updates.

Automates common CTE query builder tasks for data analytics, offering best-practice guidance, production-ready SQL snippets, and validation against standard requirements when you need help with BI, visualization, or statistical analysis.

An elite AI-powered specialist mastering end-to-end customer support. This skill guides the implementation of advanced conversational AI, automated ticketing systems, and comprehensive omnichannel strategies. It covers sentiment analysis, knowledge base optimization, e-commerce support, and advanced CX analytics, ensuring seamless, human-centered, and efficient customer journeys across all platforms.

A comprehensive, end-to-end workflow for building product features guided by rigorous data insights. This skill guides users through the entire lifecycle, encompassing exploratory data analysis, forming measurable business hypotheses, designing statistical A/B tests, architecting data pipelines, and implementing robust backend/frontend instrumentation. It ensures that every feature iteration is validated by data and measured for impact.

A protocol that provides LLM agents with persistent structural memory of a codebase. It maps the project as a directed graph, tracking not only dependencies (what imports what) but also the 'reasons' (why it connects). This allows agents to understand context, perform impact analysis, and navigate large repositories without loading the entire source code into the context window.

This skill provides expert-level database design capabilities, including schema analysis, normalization, and index optimization. It assists architects and developers in creating scalable, performant, and maintainable database structures. Features include automated ERD generation, migration planning with zero-downtime strategies, and security best practices. Ideal for SQL and NoSQL environments.