Skill UI

Guides teams through building an AI cold outreach stack—from ICP signals and enrichment to personalization, sequencing, sending, and AI follow-ups—so they can scale precise campaigns without burning deliverability.

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.

This skill guides the creation of automated workflows for enriching raw Indicators of Compromise (IOCs) with multi-source threat intelligence context. It is designed for integration into SOAR platforms (e.g., Cortex XSOAR, Splunk SOAR) or Python pipelines. By automatically querying multiple sources like VirusTotal, AbuseIPDB, and MISP, it significantly reduces analyst mean time to triage (MTTT) and standardizes the resulting threat context and confidence scoring.

This system automates the tracking and mapping of threat actor Command-and-Control (C2) networks. By leveraging passive DNS records, WHOIS data, certificate transparency logs, and IP enrichment, it helps security analysts perform infrastructure pivoting. It identifies shared hosting patterns, monitors domain reuse, and continuously maps adversary relationships for proactive threat intelligence.

This skill details the architecture and implementation of an automated Indicator of Compromise (IOC) enrichment pipeline using OpenCTI. It demonstrates how to connect OpenCTI to various external threat intelligence services (like VirusTotal, Shodan, AbuseIPDB) to automatically gather context, correlate indicators, and assign confidence scores. This is crucial for enhancing security monitoring and prioritizing threats for cyber analysts.

This guide details how to build automated threat intelligence enrichment pipelines within Splunk Enterprise Security. By leveraging the Threat Intelligence Framework, users can ingest, normalize, and correlate Indicators of Compromise (IOCs) from diverse external sources (such as TAXII, CSV, and custom APIs). The process uses KV Store collections and lookup searches to enrich raw security events with critical threat context, significantly reducing triage time for SOC teams.

A comprehensive guide on building a unified Threat Intelligence Platform (TIP). This skill covers deploying and integrating multiple core CTI tools (MISP, OpenCTI, TheHive, Cortex) into a single system. Learn to design the architecture, configure feed ingestion pipelines, automate IOC enrichment, and ensure standardized intelligence sharing using STIX/TAXII standards.

This skill provides comprehensive guidance on configuring Fluentd and Fluent Bit for centralized log collection, routing, filtering, and enrichment. It covers setting up lightweight log forwarders on endpoints and designing central aggregators that route data to SIEM tools, Elasticsearch, or Splunk. Essential for achieving observability and meeting strict security compliance requirements.

This skill guides the implementation of Security Orchestration, Automation, and Response (SOAR) workflows using platforms like Splunk Phantom. It automates the entire incident lifecycle, including alert triage, IOC enrichment (via VirusTotal, CrowdStrike), containment actions, and ticket creation (ServiceNow). Ideal for SOC teams needing to reduce Mean Time To Respond (MTTR) and standardize complex security procedures across multiple tools.

This guide details how to implement sophisticated Security Orchestration, Automation, and Response (SOAR) playbooks using Palo Alto Cortex XSOAR. It demonstrates full lifecycle automation, such as phishing incident investigation, requiring enrichment of URLs, IPs, and files, followed by automated containment actions (e.g., blocking senders, purging mailboxes). Mastering this allows SOC teams to drastically reduce Mean Time To Respond (MTTR) by automating detection, analysis, and remediation steps across multiple security tools.

This guide provides a systematic, step-by-step workflow for Security Operations Center (SOC) analysts to perform alert triage using Elastic Security SIEM. It covers initial alert assessment, context gathering using advanced ES|QL queries, threat intelligence enrichment, and final classification decisions (True Positive, False Positive, etc.) to rapidly determine genuine security threats and prioritize incident response actions.

This skill provides a systematic framework for managing Indicators of Compromise (IOCs) throughout their entire life cycle—from initial discovery and validation to enrichment, deployment, monitoring, and eventual retirement. It emphasizes implementing confidence decay functions, tracking hit rates, and managing false positives to maintain a high-quality, actionable threat intelligence database, thereby minimizing analyst fatigue and maximizing detection efficacy.