Skill UI

LEX is a structured truth engine designed to eliminate legal hallucinations by grounding AI agents in verified government references and legislation across 29+ jurisdictions (including US, EU, and CA). It provides deterministic context for comparing legal requirements, drafting compliant business, and employment documents, ensuring high jurisdictional accuracy.

Helps founders and GTM teams set metrics, build tiers, and manage margins for AI products by grounding pricing choices in compute cost realities, credit systems, and buyer personas so revenue models scale with value.

Guides GTM measurement for AI products by outlining revenue, efficiency, pipeline, retention, and funnel metrics, aligning dashboards with attribution models and weekly reviews so founders and revenue leaders monitor ARR, CAC, TTFV, NRR, and cost signals without implementation detail.

Guards borrower interactions by enforcing TRID, RESPA, TILA, ECOA/Fair Lending, licensing, disclosures, and privacy rules whenever rates, fees, qualifications, or data are discussed in mortgage conversations.

Guides borrowers through refinance evaluation by collecting loan data, extracting mortgage statement fields, validating inputs against underwriting rules, and recommending the best products with clear, consumer-friendly explanations.

Guides founders on AI positioning, ICP definition, messaging architecture, and quarterly PMF validation so they can translate technical capabilities into the business outcomes buyer-facing teams care about.

Guides solo founders through end-to-end GTM decisions, stacking affordable AI-supported tools, designing agent workflows, allocating their most precious time, and knowing when to hire so they can scale go-to-market without adding headcount.

This agent provides structured summarization for academic papers, reports, and articles. It goes beyond simple summarizing by extracting key findings, generating comparative matrices across multiple sources, and producing properly formatted citations (APA, IEEE, etc.). It is designed for analysts, product managers, and researchers who need actionable, deep insights from dense documentation.

This framework provides structured templates for managing communications during malware incidents. It generates tailored reports for various stakeholders, including C-level executives, technical IT teams, and regulatory bodies. The system accounts for severity levels (P1-P4) and different threat types, ensuring consistent, timely, and compliant information dissemination during a crisis.

DefectDojo is an open-source platform designed to centralize, aggregate, and manage security vulnerabilities. It integrates findings from over 200 security scanners (e.g., Nessus, ZAP, Trivy), automatically deduplicates results, tracks remediation progress, and provides executive-level dashboards. It supports robust workflows, including CI/CD pipeline integration and Jira ticketing, making it essential for DevSecOps practices and compliance adherence.

A comprehensive guide for proactive threat hunting and incident response, detailing how to detect Pass-the-Hash attacks. It involves analyzing NTLM authentication patterns, identifying suspicious Type 3 logons, and correlating these anomalies with credential dumping techniques using SIEM/EDR tools.

This guide details a systematic methodology for proactive threat hunting across Windows endpoints. It focuses on identifying various adversary persistence techniques, such as registry modifications (Run Keys), malicious services, WMI event subscriptions, and scheduled tasks. It is essential for incident response, security audits, and improving detection coverage against dormant backdoors.