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Found 19 Skills
Proactively detect and respond to advanced cyber threats using forensic tools and analytics in enterprise environments.
Performs proactive threat hunting in Elastic Security SIEM using KQL/EQL queries, detection rules, and Timeline investigation to identify threats that evade automated detection. Use when SOC teams need to hunt for specific ATT&CK techniques, investigate anomalous behaviors, or validate detection coverage gaps using Elasticsearch and Kibana Security.
Used for blue-team threat hunting, detection engineering with Sigma/YARA, SIEM query design, and incident detection validation.
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
Identify ransomware network indicators including C2 beaconing patterns, TOR exit node connections, data exfiltration flows, and encryption key exchange via Zeek conn.log and NetFlow analysis
Detect DCSync attacks where adversaries abuse Active Directory replication privileges to extract password hashes by monitoring for non-domain-controller accounts requesting directory replication via DsGetNCChanges.
Guide for security-related Agent Skills including penetration testing, code auditing, threat hunting, and forensics skills.
Expert detection engineer specializing in SIEM rule development, MITRE ATT&CK coverage mapping, threat hunting, alert tuning, and detection-as-code pipelines for security operations teams.
Guides defensive security analysis—alert triage, log and SIEM investigation, threat hunting, detection engineering basics, MITRE ATT&CK mapping, incident scoping, containment recommendations, and DFIR evidence handling for SOC and blue-team analysts. Use when investigating security alerts, writing detection rules, tuning false positives, analyzing EDR/network/auth logs, building timelines of suspicious activity, recommending containment steps, or documenting findings for incident command—not for enterprise security strategy (cybersecurity), CI/CD pipeline hardening (devsecops), offensive pentest execution (authorize red team separately), or LLM adversarial testing (ai-redteam), or designing on-call rotations and postmortem programs (incident-management-engineer).
Guides authoring of high-quality YARA-X detection rules for malware identification. Use when writing, reviewing, or optimizing YARA rules. Covers naming conventions, string selection, performance optimization, migration from legacy YARA, and false positive reduction. Triggers on: YARA, YARA-X, malware detection, threat hunting, IOC, signature, crx module, dex module.
Detect compromised O365 and Google Workspace email accounts by analyzing inbox rule creation, suspicious sign-in locations, mail forwarding rules, and unusual API access patterns via Microsoft Graph and audit logs.
Query unified Sigma, Splunk, Elastic, KQL, Sublime, and CrowdStrike security detection rules via MCP server with MITRE ATT&CK mapping and coverage analysis