Skill UI

This skill performs comprehensive regulatory gap analysis across major compliance frameworks, including GDPR, CCPA, ADA, PCI-DSS, and CAN-SPAM. It analyzes live websites and codebases to produce a detailed compliance scorecard, identifies specific non-compliant gaps, and generates a prioritized remediation roadmap with effort estimates. Essential for businesses ensuring legal adherence across multiple global jurisdictions.

This skill runs a comprehensive, sequenced pipeline (Patterns 1-5) to structurally analyze a monolithic codebase. It inventories components, detects domain duplication, resolves hierarchy issues, measures inter-module coupling, and groups components into candidate, domain-aligned services. It is essential for architects planning service extraction, providing actionable metrics and DDD insights before refactoring or splitting the application.

This skill guides developers through creating a comprehensive refactoring plan and serving as a Request for Comments (RFC). It orchestrates detailed interviews, codebase analysis, and scope definition. It ensures the refactor is broken down into tiny, safe, incremental commits, culminating in a structured GitHub issue that serves as a definitive architectural and technical decision document.

This advanced skill performs a full-sweep analysis, providing a unified assessment of code quality across multiple dimensions: code decay, architecture integrity, technical debt, and test coverage. It automatically applies safe fixes directly to the codebase, while requiring confirmation for risky changes. It is ideal for comprehensive pre-release code health audits and automated refactoring.

This guide outlines a comprehensive, agent-focused testing workflow for modern C++ (C++17/20) using GoogleTest and CMake/CTest. It teaches key concepts like the TDD cycle (Red-Green-Refactor), utilizing mocking (gmock) and fixtures for isolation, setting up robust CI/CD integration, and debugging complex issues using sanitizers (ASAN, TSAN) and coverage analysis. Use this when writing, updating, or ensuring the functional robustness of C++ codebases.

This tool is designed to analyze source code by extracting core entities (classes, functions, modules, types) and mapping their complex relationships (imports, inheritance, calls, dependencies). It constructs a comprehensive Knowledge Graph (KG) in AgentDB. This is essential for detailed dependency analysis, understanding large codebase structures, and performing accurate impact assessments.

Repo-scan is a powerful tool designed for comprehensive auditing of large and complex codebases, especially monorepos. It performs cross-stack analysis across C++, Android, iOS, and Web technologies. Key features include classifying files (core code, third-party, build artifacts), identifying known libraries, and assessing code modules into four stages: Core, Extract, Refactor, or Deprecate. Essential for planning major refactoring efforts or inheriting legacy systems.

This skill offers two complementary workflows for locally checked-out codebases. Documentation mode creates a definitive, cited architecture document ideal for onboarding and system research. Modernization mode then builds upon this documentation, generating a phased, safety-laddered plan to upgrade, migrate, or rewrite legacy systems. It emphasizes local-first analysis for maximum accuracy.

Before modifying database objects like tables or procedures, trace all references across SQL and application code to produce a blast-radius report. This helps identify dependencies and assess risks before making changes in legacy codebases. It covers direct and indirect references to ensure safe schema modifications and prevent unintended breakages.

This skill performs a full-sweep analysis across all quality dimensions including code decay, architecture, tech debt, and test quality. It applies fixes directly to the codebase, auto-applying safe changes and confirming risky ones before execution. It iterates through reviews, tests, debt, and audits to converge on a clean state, generating a comprehensive Full Sweep Report.

This skill generates comprehensive C4 architecture documentation for existing codebases using a bottom-up analysis approach. It creates documentation at code, component, container, and context levels, ensuring every element is documented before synthesizing higher-level abstractions. Ideal for software teams needing clear architectural records for technical and non-technical stakeholders.

This skill specializes in creating comprehensive and maintainable documentation directly from codebases. It generates API docs, architecture diagrams, user guides, and technical references using AI analysis. Ideal for building documentation pipelines, standardizing docs across repositories, and ensuring living documentation stays synchronized with code changes while adhering to industry best practices.