Skill UI

Automated 7-stage workflow for auditing, cleaning, reviewing, and benchmarking GitHub repositories, turning messy projects into polished, production-ready codebases with guided analysis, manual reflection, and final validation.

Analyze a codebase to assemble an interactive knowledge graph showing architecture, components, and relationships, enabling full rebuilds, incremental updates, or audits with optional auto-update control.

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.

Workspace Surface Audit scans repo files, MCP servers, plugins, connectors, and environment configs to report current capabilities and recommend ECC-native skills, hooks, agents, or workflows for setups like Claude Code.

Generate CodeTour .tour files tailored to personas like new joiners, reviewers, architects, RCA investigators, and security auditors, using real files and line anchors for onboarding, PR reviews, architecture tours, or “explain how this works” guides.

Practical guidance for writing, reviewing, and auditing concurrent Go code, covering goroutine lifecycles, channel/mutex tradeoffs, sync primitives, errgroup/WaitGroup patterns, and leak/race detection techniques.

This skill performs a comprehensive security audit of Model Context Protocol (MCP) server configurations found in .mcp.json files. It is designed to identify critical vulnerabilities, including hardcoded secrets (API keys, tokens), dangerous shell injection patterns, unpinned dependencies, and compliance issues regarding approved server lists. Use this skill during security reviews, project onboarding, or pre-commit checks to ensure secure deployment.

This library provides a complete and verified set of grep command patterns designed for auditing existing React codebases. It is essential for developers preparing for major React upgrades, specifically migration audits for React 18.3.1 or React 19. It detects deprecated APIs, removed features, unsafe lifecycle methods, batching vulnerabilities, and dependency conflicts, ensuring a smooth transition.

This specialist simulates the role of an App Store reviewer, auditing iOS source code and metadata against Apple's strict guidelines. It systematically identifies potential compliance risks, technical vulnerabilities, monetization gaps (IAP/Subscriptions), and critical UX shortcomings, delivering a prioritized risk register for fast approval.

Explores a codebase and produces a tailored quality system: constitution, spec-aligned functional tests, review/integration/audit protocols, and AI bootstrap guidance so teams and agents share the same safety standards.

Analyze and build XML sitemaps with industry templates, validating format, URLs, status codes, robots.txt references, and scaling outputs with indexes to ensure coverage and quality for site audits or launches.

A universal assistant for conducting deep code reviews across major SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). It rigorously analyzes SQL code for critical vulnerabilities (like SQL injection), performance bottlenecks, maintainability issues, and adherence to industry best practices. Features include security audits, index optimization recommendations, query structure analysis, and schema design validation, ensuring robust and secure database development.