Skill UI

This skill guides users to configure and test common network services like HTTP, HTTPS, SNMP, and SMB within a controlled penetration testing lab environment. It covers service enumeration, log analysis, and security testing procedures. Users will learn to set up web servers, secure connections, and file shares while practicing defensive and offensive security techniques on properly configured target systems.

This skill provides a systematic pipeline for safely executing large-scale code refactors across multiple files or subsystems. It first performs parallel, dependency-aware analysis to map the entire scope, synthesizing a single, actionable plan. The process then breaks the work into independent 'work packets,' which are executed sequentially or in parallel by specialized worker agents, ensuring strict dependency management and behavior parity throughout the entire process.

A specialized skill designed for agents to proactively identify, analyze, and strategize high-impact contributions within trending Open Source repositories. It systematically performs repository discovery, extracts targeted issues (like 'help wanted' or 'good first issue'), and conducts deep feasibility analysis (including mergeability and complexity). Finally, it generates a structured 'Contribution Dossier' with actionable plans, significantly accelerating the process of becoming a top-tier OSS contributor.

Configure Prometheus and Grafana for comprehensive metrics collection, visualization, and alerting. This skill covers Docker and Kubernetes deployment, PromQL query writing for analysis, and setting up alerting rules for system performance monitoring. Ideal for DevOps engineers managing infrastructure observability.

This skill acts as a specialized security expert for analyzing project dependencies. It scans dependencies across multiple ecosystems (e.g., npm, pip, Maven) to identify known vulnerabilities, assess associated risks, and generate Software Bill of Materials (SBOMs). It provides comprehensive insights into supply chain security and offers automated strategies for remediation, ensuring compliance and stability during development.

This specialized skill guides users through a structured, forensic investigation process when facing sudden, significant drops in organic traffic or search rankings. It is designed for incident scenarios—such as suspected penalties, Core Updates, major technical regressions, or unexplained traffic crashes—providing a systematic approach to triage, root-cause analysis, and developing a prioritized recovery plan.

Systematic methodology for using Shodan as a reconnaissance tool in authorized penetration testing, covering search queries, vulnerability discovery, IoT scanning, SSL analysis, and Python automation.

This skill provides a structured approach to systematically identify security threats by applying the STRIDE methodology (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege). It is crucial for conducting thorough threat modeling sessions, analyzing system architectures, reviewing security design decisions, and creating robust security documentation for compliance and auditing purposes.

This expert skill specializes in guiding comprehensive GitHub issue resolution. It covers systematic bug investigation, feature implementation, and collaborative development workflows. Expertise includes issue triage, root cause analysis, test-driven development, and professional pull request management, ensuring vague reports are transformed into production-ready code following modern CI/CD practices.

Rigorous visual validation expert specializing in UI testing, design system compliance, and accessibility verification. Uses visual regression tools and systematic analysis to verify UI modifications, responsiveness, and cross-platform consistency.

Operate and evaluate a local Unified AI System through governed MCP tools without provider credentials. This skill enables secure inspection of AI gateways, including prompt enhancement and authorization boundaries, ensuring safety through content review and Docker image analysis before deployment.

Finds similar vulnerabilities and bugs across codebases using pattern-based analysis. Ideal for hunting bug variants, building CodeQL/Semgrep queries, analyzing security issues, and systematic code audits after an initial discovery.