Skill UI

A structured methodology for de-risking product ideas and validating market opportunities. This framework guides teams through defining measurable outcomes, building Opportunity Solution Trees (OST), mapping critical assumptions (Desirability, Viability, Feasibility), and planning rigorous experiments (prototyping, interviews, usability tests) before committing to full development resources. Ideal for discovery sprints and pre-build validation.

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.

Estimates itemized closing costs for refinance quotes across 10 licensed states, covering lender, third-party, title, and recording fees while handling FHA Streamline refund netting and VA funding-fee exemptions for compliant borrower disclosures.

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 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.

Focuses on advanced threat detection within Azure AD/Entra ID. This skill guides users on correlating Graph API audit logs, sign-in anomalies, and KQL queries in Microsoft Sentinel to identify sophisticated lateral movement techniques, such as privilege escalation, OAuth abuse, and cross-tenant pivoting. Essential for SOC threat hunting.

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.

Implement Okta as a centralized Identity Provider (IdP) for robust multi-cloud security across AWS, Azure, and GCP. This skill covers configuring Single Sign-On (SSO), deploying phishing-resistant Multi-Factor Authentication (MFA), automating user lifecycle management via SCIM, and enforcing adaptive access policies based on device posture and user risk, helping organizations achieve Zero Trust compliance.

This skill provides a comprehensive framework for conducting systematic access reviews and certifications across enterprise applications. It guides users through designing review campaigns, implementing risk-based prioritization (e.g., privileged, PII access), assigning reviewers (manager, application owner), and automating the collection of entitlement data. The process ensures compliance evidence is generated for major standards like SOX, HIPAA, and PCI DSS, helping maintain the principle of least privilege.