Skill UI

This skill outlines a systematic workflow for addressing review comments and issue feedback on GitHub Pull Requests (PRs) using the GitHub CLI (`gh`). It guides users through inspecting comments, planning fixes, applying code changes, and finally responding to the threads as resolved, ensuring a streamlined code review process.

This skill defines the coordination protocol for multi-agent execution during development sprints. It governs how project architects must spawn specialized agents (e.g., backend, frontend, QA), manage dependencies via shared contracts, and collect comprehensive, structured reports. It ensures systematic, parallel, and controlled project iteration development.

A specialized workflow guide for comprehensive security testing of REST and GraphQL APIs. It systematically covers critical security aspects such as authentication validation (OAuth2, JWT), authorization checks (IDOR, privilege escalation), input validation (SQL/NoSQL injection), rate limiting enforcement, and secure error handling. Ideal for vulnerability assessment, bug bounty programs, and pre-deployment security audits.

This comprehensive skill guides the systematic optimization of end-to-end application performance across the entire stack. It covers establishing performance baselines through deep profiling (CPU, Memory, I/O), assessing observability gaps, optimizing databases, tuning backend services and APIs, and enhancing frontend rendering. Ideal for complex, scalable applications that require measurable performance improvements, reliability enhancements, and adherence to modern user experience standards.

This comprehensive skill guides the systematic optimization of end-to-end application performance across the entire stack. It covers establishing performance baselines through deep profiling (CPU, Memory, I/O), assessing observability gaps, optimizing databases, tuning backend services and APIs, and enhancing frontend rendering. Ideal for complex, scalable applications that require measurable performance improvements, reliability enhancements, and adherence to modern user experience standards.

This skill is designed to execute complex, structured workflows and actions based on a defined overview. It facilitates systematic process completion and adherence to scope. Users must ensure the task precisely matches the skill's scope, and remember that the output is not a substitute for manual validation or expert review.

This script automates the collection of comprehensive diagnostic evidence for troubleshooting issues on the Clay web platform. It systematically tests webhook connectivity, captures environment details (Node, Python, OS), verifies API keys, and gathers recent application logs. The resulting bundle provides all necessary data points for submitting detailed support tickets and accelerating debugging.

Guides intercepting HTTP traffic, modifying requests, using Repeater, defining scope, and running Burp Suite scans for systematic web application security testing.

Systematic code maturity assessment using Trail of Bits' 9-category framework, analyzing arithmetic safety, access controls, documentation, MEV risks, testing, and more to deliver evidence-backed scorecards and actionable recommendations.

This expert skill analyzes codebases to identify, quantify, and prioritize all forms of technical debt—including code complexity, architectural flaws, outdated dependencies, and testing gaps. It calculates the measurable impact of this debt on development velocity, bug rates, and overall business risk. The output provides a comprehensive, actionable, and ROI-driven roadmap for systematic remediation.

This comprehensive checklist provides a systematic framework for conducting thorough code reviews. It covers critical areas including functionality, security vulnerabilities, performance optimization, and overall code maintainability. Use it when reviewing pull requests, conducting code audits, or standardizing team development practices.

This skill helps transform code reviews from simple gatekeeping into a powerful knowledge-sharing mechanism. It guides users through systematic analysis of code changes, focusing on correctness, security, performance, and maintainability. Use it when reviewing pull requests, establishing best practices, or mentoring developers to ensure high-quality, robust codebase development.