Skill UI

A comprehensive framework for applying the six core principles of ethical persuasion (Reciprocity, Commitment, Social Proof, Authority, Liking, Scarcity) to optimize product design, marketing copy, and sales flows. It helps users understand human behavioral heuristics to create genuinely compelling and ethical user experiences, increasing engagement and conversion rates.

A comprehensive framework for high-stakes negotiation, drawing from tactical empathy and behavioral science. It teaches users how to move beyond logical arguments by understanding the emotional drivers and underlying needs of the counterpart. Techniques include tactical empathy, mirroring, calibrated questioning, and accusation audits. Ideal for salary negotiations, contract discussions, sales objections, and difficult conversations, ensuring you uncover hidden information and build genuine rapport to achieve better outcomes.

An adaptive and persistent coaching system designed for the entire job search lifecycle. It covers critical stages including Job Description (JD) decoding, resume optimization, mock interviews (behavioral, technical, case), transcript analysis, storybank building, and comprehensive salary negotiation support. The system tracks your progress and provides tailored coaching plans across 23 commands.

A comprehensive guide to writing reliable and maintainable tests for Kotlin projects. This skill covers modern testing patterns using Kotest for various spec styles (FunSpec, BehaviorSpec), MockK for dependency mocking, and enforces TDD principles (RED/GREEN/REFACTOR). Learn how to implement unit tests, property-based testing, and ensure high code coverage with Kover.

Analyzes Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC changes, privileged pod creation, and anonymous access. Use it to investigate cluster compromises, recreate adversary behavior, or create SIEM detection rules for Kubernetes-specific threats.

This skill guides users through analyzing suspicious URLs using the URLScan.io platform or API. It provides a safe environment to capture screenshots, DOM content, network traffic, and analyze JavaScript behavior to investigate phishing attempts, credential harvesting, and sophisticated malicious redirects without risking the analyst's system.

A comprehensive guide to utilizing Cuckoo Sandbox for deep dynamic analysis of suspicious malware samples. This workflow walks through sample submission, real-time monitoring, and programmatic extraction of behavioral indicators, including process activity, network communications (DNS, HTTP), file system changes, and registry modifications, essential for threat intelligence and IOC extraction.

Analyzes behavioral reports from security sandboxes (Cuckoo, AnyRun) to detect advanced anti-analysis and evasion techniques. It specifically identifies indicators such as timing checks, hypervisor artifact queries, user interaction patterns, and environment fingerprinting. This tool is essential for threat hunting, enhancing detection rules, and conducting deep malware triage.

This tool provides a comprehensive framework for analyzing web server logs (Apache/Nginx) to detect various security threats. It uses advanced regex matching against OWASP attack signatures to identify SQL injection, Local File Inclusion, and Directory Traversal attempts, alongside behavioral analysis for brute-force attacks and web scanner fingerprints. The system also enriches data using GeoIP for source attribution, generating a prioritized report for SOC analysts.

This skill parses various cyber threat intelligence (CTI) reports (Mandiant, CrowdStrike, etc.) using NLP and specialized libraries (stix2, mitreattack-python, spaCy). It systematically extracts adversary behaviors, maps them to MITRE ATT&CK IDs, and constructs a searchable STIX 2.1 Attack Pattern library. This is essential for threat-informed detection engineering, generating detection rules (Sigma, YARA), and validating security controls.

This skill correlates disparate security incidents, Indicators of Compromise (IOCs), and adversary behaviors across time and organizations. It systematically identifies unified threat campaigns, attributes them to common threat actors, and extracts shared indicators for significantly improved detection capabilities. Ideal for cross-organizational threat intelligence sharing and building comprehensive campaign reports.

This tool deploys advanced machine learning techniques to detect anomalies within Operational Technology (OT) and Industrial Control Systems (ICS) environments. It establishes behavioral baselines by analyzing network traffic (Modbus, DNP3, OPC UA) and communication timing. Use cases include continuous monitoring, detecting zero-day deviations, and enhancing security monitoring platforms beyond standard signature-based intrusion detection.