Skill UI

The Santa Method is a multi-agent adversarial verification framework designed to improve output quality by requiring two independent reviewers (Agent B and Agent C) to pass the content before publication. It eliminates single-agent bias and systematically improves outputs through iterative refinement loops until convergence or manual escalation.

A guide for security researchers focused on finding exploitable, remote-reachable vulnerabilities for bug bounties or responsible disclosure. It emphasizes high-signal flaws such as SSRF, RCE, and SQL injection, while guiding users through the professional triage and PoC creation process for penetration testing.

This comprehensive skill provides best practices for secure coding across multiple domains. It guides developers on managing secrets, validating user input, preventing SQL injection, implementing robust authentication and authorization (including RLS), and mitigating XSS attacks. Use this when handling sensitive data, APIs, or user-generated content to ensure the highest level of security.

A comprehensive security auditing tool designed for Claude Code environments. It scans the entire configuration directory for security vulnerabilities, misconfigurations, injection risks, hardcoded secrets, and overly permissive settings. Ideal for initial project setup, pre-commit checks, or routine security hygiene.

Skill Scout is a crucial pre-creation workflow designed to prevent the duplication of effort. Before building a new skill, it systematically searches local, marketplace, GitHub, and web sources. It not only finds potential matches but also rigorously vets them for security, maintenance status, and relevance, providing the user with clear options: Use Existing, Fork/Extend, or Create New.

A comprehensive tool designed to audit the quality, relevance, and redundancy of all Claude skills and commands. It supports two modes: a rapid incremental scan for recently changed skills, and a deep full stocktake using AI judgment and expert checklists to assess viability (Keep, Improve, Update, Retire, Merge).

This skill executes the final two phases of the SPARC methodology: Refinement and Completion. It systematically reviews the implemented feature through rigorous code reviews, expands test coverage (unit, integration, edge cases), validates performance, generates a traceability matrix, creates comprehensive documentation, and confirms deployment readiness. It ensures the feature is robust, tested, and production-ready.

This guide covers essential security best practices for Spring Boot applications. Learn how to implement robust authentication (JWT, OAuth2), authorization using method security, secure input validation, prevent SQL injection, manage secrets, and configure vital security headers (CORS, CSRF). Essential for building production-ready, secure Java backend services.

A comprehensive CI/CD quality gate checklist for Spring Boot projects. It guides developers through mandatory steps including building, static analysis (SpotBugs, PMD), running unit/integration tests, measuring code coverage, performing security scans (OWASP), and reviewing diffs before merging or deploying.

This skill acts as an expert guide for creating comprehensive, implementation-ready design system documentation. It structures guidelines by defining foundational tokens (color, typography, spacing), detailing component anatomy, interaction states, and adhering to strict accessibility standards (WCAG 2.2 AA). Use it to ensure your design standards are consistent, technically sound, and actionable for engineering and design teams.

This tool initializes a structured multi-agent swarm with built-in anti-drift configuration. It is designed for orchestrating complex, multi-file tasks that require coordinated efforts from three or more specialized AI agents, such as feature implementation, cross-module refactoring, or comprehensive security audits. It supports various topologies (hierarchical, mesh, etc.) to ensure robust and manageable parallel work execution across large teams.

A comprehensive guide covering modern best practices for building high-performance, declarative user interfaces in SwiftUI. Topics include using the advanced @Observable framework for state management, achieving type-safe navigation with NavigationStack, effective view composition, and optimizing rendering performance for iOS and macOS platforms.