Skill UI

A comprehensive workflow utilizing the Perplexity Sonar API for advanced, multi-turn research. It systematically decomposes broad topics into focused sub-queries, executes batch queries while maintaining context continuity, deduplicates citations, and synthesizes all findings into a structured, comprehensive research document. Ideal for academic research, market analysis, and generating detailed investment or industry briefs.

A comprehensive guide to building an automated Indicator of Compromise (IOC) enrichment pipeline using OpenCTI. This skill teaches how to leverage OpenCTI's native STIX 2.1 model and internal connectors to pull deep context from major external threat intelligence sources like VirusTotal, Shodan, AbuseIPDB, and GreyNoise. The pipeline automatically enriches newly ingested indicators, correlates them with known threat actors and campaigns, and generates confidence scores for rapid analyst prioritization.

This system deploys advanced AI, NLP, and behavioral analytics to detect sophisticated Business Email Compromise (BEC) attacks. Unlike traditional filters that rely on malicious links, this solution analyzes writing style, tone, grammatical patterns, and contextual anomalies to identify pure social engineering impersonation, providing a robust defense layer against advanced phishing and fraud.

This skill guides security teams on systematically tuning SIEM detection rules in platforms like Splunk and Elastic. It focuses on reducing alert fatigue and false positives by analyzing historical alert volumes, establishing environmental baselines, creating context-aware whitelists, and measuring detection efficacy using metrics like precision and recall. This is crucial for maturing a Security Operations Center (SOC).

This skill guides the writing of a strong, argumentative literature positioning section for high-impact academic journals. It teaches researchers how to move beyond simple citation lists by systematically confronting the nearest competing works, clearly defining the unique marginal contribution, and establishing the necessary context ("why now?") for the research, ensuring the work's novelty and readability.