Skill UI

This skill provides comprehensive methods for collecting and synthesizing Open-Source Intelligence (OSINT) regarding threat actors, malicious infrastructure, and attack campaigns. It utilizes public data sources, passive reconnaissance tools (like WHOIS, Certificate Transparency), and specialized platforms (Maltego, Shodan, SpiderFoot) to map adversary context and perform pre-engagement intelligence gathering for authorized red team assessments. Emphasis is placed on passive collection techniques to ensure legality and operational security.

Build a production-ready, AI-powered data collection agent for any public source (job boards, prices, news, etc.). This agent automatically scrapes data, enriches it using free LLMs (like Gemini Flash), and stores the results in databases such as Notion, Sheets, or Supabase. It runs on a free schedule using GitHub Actions and learns from user feedback, making it ideal for continuous data monitoring and tracking.

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 a structured, six-phase threat intelligence lifecycle. It covers transforming raw data into actionable intelligence by mastering planning, collection, processing, analysis, dissemination, and feedback. Ideal for building mature Cyber Threat Intelligence (CTI) programs and aligning security architecture with compliance standards.

Utilize Velociraptor, an advanced open-source platform, to collect, query, and monitor forensic artifacts across diverse endpoints (Windows, Linux, macOS). This skill enables incident response teams to perform large-scale, rapid digital forensic investigations by collecting critical data such as event logs, registry entries, prefetch files, and network metadata using VQL queries.

This skill guides the end-to-end management of the Cyber Threat Intelligence (CTI) lifecycle. It covers defining Priority Intelligence Requirements (PIRs), planning data collection, processing data, performing multi-level analysis (Strategic, Operational, Tactical), disseminating tailored reports, and establishing continuous feedback loops to ensure intelligence relevance and maturity.

This skill provides a comprehensive framework for conducting systematic access reviews and certifications across enterprise applications. It guides users through designing review campaigns, implementing risk-based prioritization (e.g., privileged, PII access), assigning reviewers (manager, application owner), and automating the collection of entitlement data. The process ensures compliance evidence is generated for major standards like SOX, HIPAA, and PCI DSS, helping maintain the principle of least privilege.

This comprehensive guide outlines a structured workflow for conducting digital forensics investigations across major cloud providers, including AWS, Azure, and GCP. It covers critical steps such as evidence preservation (snapshots, metadata capture), systematic log collection (CloudTrail, Activity Logs, Audit Logs, VPC Flow Logs), and advanced analysis techniques to trace unauthorized accesses and identify root causes of security breaches.

This skill guides comprehensive digital forensics investigations on compromised endpoints. It covers evidence collection (memory acquisition, disk imaging) and deep artifact analysis, including volatile data, MFT records, and prefetch files. Use it for incident response, legal evidence collection, and determining the scope of a breach by reconstructing attacker timelines.

This skill utilizes the SpiderFoot REST API and CLI to automate Open-Source Intelligence (OSINT) collection. It performs comprehensive target profiling, reconnaissance, and attack surface mapping across 200+ data sources. Users can select specialized modules (e.g., footprint, investigate) to analyze domains, IPs, and credentials, generating structured intelligence reports essential for security assessments, incident response, and threat intelligence gathering.

A comprehensive guide on implementing Firebase Analytics in Flutter applications. Learn how to set up the service, log predefined and custom events (like add-to-cart), set user properties, track screen views, and adhere to best practices for robust data collection and funnels.

A comprehensive guide for integrating and managing Firebase In-App Messaging within Flutter applications. This skill covers initial setup, programmatic message triggering via custom events, advanced message suppression during critical flows (like payments), and implementing GDPR-compliant opt-in data collection. It also details full campaign management, including targeting, scheduling, A/B testing, and device-specific testing workflows for optimal user engagement.