Skill UI

Live SEO data via DataForSEO MCP server: SERP analysis, keyword research, backlink profiles, on-page and competitor analysis, AI visibility tracking, and domain analytics across 79+ tools.

A comprehensive guide for defining, tracking, and interpreting product metrics across all stages—from discovery to maturity. This skill covers selecting metric frameworks (AARRR, HEART), defining stage-appropriate KPIs, designing multi-layered dashboards, and executing deep analyses like cohort and retention modeling. It helps teams transform raw data into actionable product strategies, moving beyond vanity metrics.

Tycana keeps task context across Claude conversations, capturing new work items, planning the day, tracking patterns, and offering energy-aware recommendations that deepen with each sync through MCP.

This system builds an automated framework to track adversary Command and Control (C2) infrastructure. By leveraging passive DNS records, Certificate Transparency logs, and WHOIS data, it maps complex relationships between domains, IPs, and registrars. Use it to pivot from known indicators to discover entirely new, related threat actor infrastructure or maintain a continuous map of a threat group's network activity.

This skill facilitates the creation of real-time incident response dashboards across major SIEM platforms (Splunk, Elastic, Grafana). It provides SOC analysts and leadership with unified situational awareness by tracking affected systems, containment status, Indicators of Compromise (IOC) spread, and the entire incident response timeline, crucial for coordination and post-incident reporting.

This skill provides comprehensive tracking and visualization for Security Operations Center (SOC) performance. It calculates critical metrics such as Mean Time to Detect (MTTD), Mean Time to Respond (MTTR), and alert quality ratios using SIEM data. Ideal for SOC leadership, compliance auditing, and continuous process improvement initiatives needing quantifiable security posture reporting.

This skill provides a comprehensive framework for tracking vulnerability aging and enforcing Service Level Agreements (SLAs). It calculates time-to-remediation against severity-based deadlines (e.g., 14 days for critical), incorporating adaptive modifiers and automated escalation paths. It is essential for establishing compliance policies, measuring remediation efficiency, and managing organizational risk.

DefectDojo is an open-source platform for comprehensive vulnerability management. It aggregates findings from over 200 security scanners (e.g., Nessus, ZAP), automatically deduplicates results, and provides detailed dashboards for tracking remediation progress. It integrates seamlessly with CI/CD pipelines, Jira for ticketing, and Slack for notifications, making it ideal for automated security reporting and compliance tracking in a DevSecOps environment.

This system provides a structured workflow for tracking security vulnerability exceptions and formally accepting related risks. It mandates documentation of compensating controls, manages required approval chains, and automatically handles expiration based on defined Service Level Agreements (SLAs). Essential for maintaining compliance and visibility into accepted risks, supporting frameworks like PCI DSS, SOC 2, and NIST CSF.

Build a production-ready, AI-powered data collection agent for any public source (job boards, prices, news, etc.). This agent automatically scrapes data, enriches it using free LLMs (like Gemini Flash), and stores the results in databases such as Notion, Sheets, or Supabase. It runs on a free schedule using GitHub Actions and learns from user feedback, making it ideal for continuous data monitoring and tracking.

This guide provides comprehensive techniques for detecting Layer 2 ARP poisoning and spoofing attacks. It covers monitoring gratuitous ARP floods, tracking IP-to-MAC mapping changes, and identifying rogue devices. Techniques include deploying ARPWatch, configuring Dynamic ARP Inspection (DAI) on managed switches, and using advanced Wireshark filters or custom Python scripts for robust security monitoring and incident response.

This comprehensive guide details how to design, deploy, and measure a robust anti-phishing security awareness program. By combining regular simulations, interactive role-based learning modules, and metric tracking, organizations can build a strong security-conscious culture. It covers initial baseline assessments, continuous difficulty scaling, and compliance alignment using industry-leading tools like KnowBe4 and Proofpoint.