Skill UI

A powerful tool for architecting production-grade multi-agent workflows. It allows users to define complex, multi-step AI pipelines using structured patterns (sequential, parallel, hierarchical). Key features include defining explicit handoff contracts, implementing robust failure handling, and managing context/cost discipline across long-running processes, ensuring reliable and scalable AI system deployment.

This comprehensive profiler provides systematic performance analysis for modern applications built with Node.js, Python, and Go. It detects critical bottlenecks across CPU, memory, and I/O dimensions. Key features include generating flamegraphs, analyzing bundle sizes, optimizing database queries (N+1 detection), and running rigorous load tests using k6 and Artillery. It mandates before-and-after measurements to ensure verifiable performance improvements.

This powerful tool generates comprehensive operational runbooks from a service name. It structures critical workflows, including deployment, incident response, maintenance, and rollback procedures. It is essential for standardizing on-call procedures, ensuring consistent incident handling across teams, and quickly documenting services before production launch.

Submit and manage autonomous lab protocols on Ginkgo Cloud Lab, leveraging RACs for cell-free protein expression validation/optimization, fluorescent pixel art, EstiMate AI assessments, and guided ordering of sample inputs through the web interface.

A rigorous, multi-phase auditing skill designed for blockchain protocols. It verifies whether the implemented smart contract code strictly adheres to the detailed specifications provided in whitepapers, design documents, or technical specifications. It performs exhaustive, line-by-line semantic analysis to identify gaps, inconsistencies, and deviations across logic, invariants, and security guarantees, making it essential for formal compliance checking in decentralized systems.

This expert skill performs non-intrusive static analysis to thoroughly audit AI skills and bundles. It identifies malicious patterns, data leaks, system stability risks, and obfuscated payloads across major operating systems (Windows, macOS, Linux/Unix) and mobile platforms (Android/iOS). Use it when verifying skill legitimacy or performing deep cross-platform security reviews.

This guide details the process of performing static analysis on potentially malicious PDF documents. It utilizes advanced tools like peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects. Use this method when triaging suspicious attachments from phishing emails or conducting deep forensic examination of weaponized document artifacts to generate actionable Indicators of Compromise (IOCs).

This framework provides a comprehensive solution for tracking vulnerability aging and measuring remediation performance against defined Service Level Agreements (SLAs). It helps organizations enforce severity-based timelines, calculate key performance indicators (KPIs) like Mean Time to Remediate (MTTR), and automate escalation procedures to ensure continuous compliance and improve overall security posture.

This skill provides comprehensive methods for collecting and synthesizing Open-Source Intelligence (OSINT) regarding threat actors, malicious infrastructure, and attack campaigns. It utilizes public data sources, passive reconnaissance tools (like WHOIS, Certificate Transparency), and specialized platforms (Maltego, Shodan, SpiderFoot) to map adversary context and perform pre-engagement intelligence gathering for authorized red team assessments. Emphasis is placed on passive collection techniques to ensure legality and operational security.

This guide details the end-to-end process of conducting a sophisticated spearphishing simulation campaign, mirroring real red team adversary techniques. It covers initial OSINT research and pretext development, building weaponized payloads that bypass security controls, setting up robust email infrastructure (SPF/DKIM/DMARC), executing the campaign in waves, and performing detailed post-campaign metrics analysis for comprehensive security reporting.

This comprehensive guide details the architecture and implementation of VLAN-based network segmentation on managed switches. It teaches professionals how to isolate different network zones (e.g., corporate, DMZ, IoT) to enforce strong access controls, reduce the attack surface, and meet compliance standards like PCI-DSS. The workflow includes designing the VLAN plan, configuring trunking, hardening switches against VLAN hopping, and setting up inter-VLAN routing with ACLs.

Provides a comprehensive guide on installing, configuring, and tuning the Snort 3 Intrusion Detection System. This skill covers setting up network interfaces for promiscuous monitoring, writing custom rulesets, optimizing detection coverage, and integrating alerts with SIEM platforms to monitor network boundaries for malicious activity.