Skill UI

An expert guide for SaaS businesses to reduce both voluntary and involuntary customer churn. This skill helps design structured cancel flows, implement dynamic save offers based on exit surveys, and set up systematic dunning sequences for failed payments. Use it when optimizing customer retention, improving billing recovery, or redesigning the entire cancellation journey.

A comprehensive system for creating high-conversion quiz and assessment funnels. This skill guides users through a 4-step process, from crafting irresistible landing pages (concept hooks) to designing structured questionnaires and automating follow-up sequences. It is specifically designed to generate qualified leads by tapping into prospects' dormant desires, achieving 30-50% conversion rates.

Creates concise Architecture Decision Records (ADRs) that capture context, decision, and consequences whenever a significant technical choice has been finalized so future engineers understand why the architecture looks the way it does.

Blueprint for B2B lead enrichment that sequences waterfalls, ICP scoring layers, and verification pipelines to maximize coverage, boost intent alignment, and keep cost per verified contact low.

RecallMax dramatically enhances AI agent memory capabilities by cleanly injecting massive external contexts (500K-1M tokens) without hallucination drift. It automatically summarizes lengthy conversations, preserving tone, intent, and key facts. Furthermore, it compresses multi-turn interaction histories into high-density token sequences, ensuring agents maintain perfect recall across complex and long-running sessions.

This guide details how to write advanced correlation searches using Splunk's Search Processing Language (SPL). It covers techniques like threshold-based detection, sequence analysis, and anomaly detection to identify sophisticated security threats (e.g., brute force, data exfiltration, lateral movement) in a Security Operations Center (SOC) environment. Mastery of SPL is essential for closing SIEM detection gaps and ensuring compliance.

This guide focuses on developing multi-event correlation rules using Splunk SPL and Sigma format. It teaches how to detect Advanced Persistent Threats (APT) and lateral movement by chaining multiple Windows authentication, process execution, and network connection events across hosts within specified time windows. Use this to surface complex, multi-stage attack sequences that single-event detection rules typically miss.

This tool utilizes Microsoft RESTler to perform stateful REST API fuzzing. It compiles OpenAPI/Swagger specifications into a usable grammar, allowing users to test complex API interaction sequences. It is crucial for discovering state-related bugs, injection vulnerabilities, authentication bypasses, and resource leaks that standard testing might miss. Ideal for continuous security validation in CI/CD pipelines.

A comprehensive guide detailing how to perform rapid malware triage and classification using YARA rules. Learn to write sophisticated rules that match file patterns, unique strings, byte sequences, and structural PE characteristics. Ideal for automating signature-based scanning, developing custom detection rules for zero-day threats, and building robust analysis pipelines.

A comprehensive guide for Security Operations Center (SOC) teams to perform proactive threat hunting using Elastic SIEM. This skill teaches advanced techniques like KQL and EQL queries, analyzing event sequences, and investigating anomalies to uncover threats that bypass automated detection rules. Ideal for validating detection coverage gaps and responding to new TTPs based on the MITRE ATT&CK framework.

This tool builds comprehensive forensic super-timelines by using Plaso to correlate events across diverse sources. It aggregates data from file system metadata, event logs, browser history, and registry artifacts into a unified chronological view. This capability is essential for complex digital forensic investigations requiring cross-source event correlation or detailed activity sequence reporting.

This guide details the process of developing precise YARA and YARA-X rules for advanced malware detection. It teaches analysts how to analyze unpacked malware artifacts—such as unique strings, byte sequences, and PE header traits—to extract stable detection anchors. This skill is crucial for threat hunting, malware family classification, and automating the creation of robust security signatures while aggressively minimizing false positives.