Skill UI

This skill defines the process and framework for establishing mandatory Service Level Agreements (SLAs) for mitigating identified vulnerabilities. It guides users on how to calculate remediation timeframes based on vulnerability severity (CVSS, KEV), asset criticality (Tier 1, 2, 3), and exploit availability. The process includes setting up escalation chains, defining exception processes, and tracking key performance indicators (KPIs) like Mean Time to Remediate (MTTR) to ensure robust security governance and compliance.

BloodHound is an open-source reconnaissance tool that leverages graph theory to analyze Active Directory relationships. This guide details the process of collecting AD data using SharpHound and visualizing complex attack paths. It helps identify potential privilege escalation chains, trust abuses, and misconfigurations necessary for an attacker to move from a low-privilege user account to Domain Admin, making it essential for advanced red-teaming and security auditing.

Nikto is a powerful open-source web server and web application scanner designed for comprehensive vulnerability assessment. It tests against over 7,000 potentially dangerous files, checks for outdated server software (over 1,250 versions), and identifies common vulnerabilities including XSS, SQL injection, misconfigurations, and weak SSL/TLS settings. It is essential for penetration testing and rigorous security auditing.

Scans a company or sector for hiring, funding, product, team, market, and tech signals using CLAUDE web search and Python scoring to surface investment readiness, momentum, and competitive risks for VC deal sourcing.

Performs TAM/SAM/SOM sizing via Claude-led research and Python computation while summarizing competitive landscapes and tech-stack maturity to support venture capital diligence.

Guides founders through business decisions by focusing on profitability, lean spending, remote-first teams, bootstrap fundraising, and sustainable scaling so ventures survive and grow without burning out resources.

This expert guide provides comprehensive strategies for community-led growth. It helps users design, launch, and scale online communities on platforms like Discord, Slack, or forums. Use this resource when aiming to build deep brand loyalty, transform customers into brand advocates, structure a cohesive community strategy, or significantly boost user engagement and retention post-signup. It covers everything from defining community identity to implementing ambassador programs.

A comprehensive framework for structuring meetings, defining metric reporting, and managing decision-making velocity in rapidly scaling companies. It addresses common growth pains like misalignment, ineffective leadership meetings, and slow planning cycles by establishing a five-level meeting architecture and weekly health dashboards. Ideal for companies transitioning from startup to enterprise stage.

Framework for building and scaling developer-led adoption via ecosystem programs, student pipelines, documentation tiers, community support, and partner tiering to guide platform go-to-market decisions.

Framework for building and scaling partner ecosystems that drive revenue and platform adoption through real economic commitments, strategic go-to-market motions, and discovery-first control decisions across curated or open networks.

A comprehensive guide for optimizing business growth motions. This framework helps founders determine the optimal Go-To-Market (GTM) strategy—whether Product-Led Growth (PLG) or sales-led—and build systematic, measurable growth engines. It covers advanced topics like mapping the growth equation, analyzing channel economics (CAC/LTV), and optimizing time to first value to ensure scalable adoption.

A comprehensive tool for planning and auditing programmatic SEO pages generated at scale from structured data sources (CSV, JSON, APIs). It guides best practices for designing templates, defining scalable URL systems, establishing internal linking strategies (Hub/Spoke), and implementing robust quality gates. Use this when ensuring content uniqueness, preventing thin content penalties, and mitigating risks associated with large-scale, data-driven content generation.