Skill UI

This advanced workflow enables users to perform deep analyses on large-scale people intelligence datasets. Users can build custom queries with multi-dimensional filters, run comparisons across different candidate pools (e.g., Q1 vs Q4), and aggregate skill density by geographical region. It is essential for talent acquisition teams needing to identify market trends and optimize hiring strategies beyond standard search functions.

Guides product and growth teams through evaluating whether to scale, test, or kill acquisition channels using unit economics (CAC, LTV, payback), customer quality (retention, NRR), and scalability indicators for data-driven go-to-market budgeting.

This comprehensive guide details the process of creating forensically sound, bit-for-bit disk images using industry-standard tools like `dd` and `dcfldd` on Linux systems. It covers essential steps including enabling write protection, documenting source metadata, performing the acquisition, and crucially, verifying the image integrity using cryptographic hashing (MD5/SHA-256). This methodology is vital for digital forensics, incident response, and legal proceedings to ensure evidence remains unaltered and admissible.

This skill provides methods and tools for detecting sophisticated cyber attacks targeting Supervisory Control and Data Acquisition (SCADA) and Industrial Control Systems (ICS). It focuses on detecting anomalies like unauthorized command injection, Man-in-the-Middle attacks on industrial protocols (Modbus, DNP3), and data manipulation, which traditional IT security tools often miss. Usage involves establishing deterministic communication baselines and monitoring network traffic for deviations.

This guide outlines the process for forensically acquiring digital evidence from major cloud storage services, including Google Drive, OneDrive, Dropbox, and Box. The method combines API-based remote data extraction (such as audit logs and revision histories) with the collection of local endpoint sync-client artifacts. It is essential for conducting thorough incident response, security assessments, and e-discovery investigations involving cloud-synced data.

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.

A comprehensive guide detailing the process of acquiring and analyzing data from smartphones and tablets. It covers best practices for device isolation, physical/logical acquisition using tools like Cellebrite UFED and open-source alternatives (ALEAPP, iLEAPP), and subsequent deep analysis of communications, call logs, and application artifacts for legal or corporate investigations.

This skill provides detailed patterns for integrating the Ramp Developer API for robust corporate card and expense management. It guides developers through the complete workflow, including OAuth2 token acquisition and making API calls (e.g., fetching card data), ensuring accurate and reliable financial data synchronization in a production environment.

This advanced skill provides comprehensive patent prior-art and landscape intelligence. Instead of generic searches, it forces the user to commit to one of five specialized sub-use-cases: Novelty Search, Freedom-to-Operate (FTO), Competitive Landscape, Acquisition Diligence, or Litigation Prior-Art. It searches multiple global databases (Google Patents, Espacenet, USPTO) and outputs a detailed, actionable DOCX report with strategic recommendations, risk assessments, and technical verdicts.

This tool performs deep, multi-touch attribution analysis to calculate comprehensive Return on Investment (ROI), Return on Ad Spend (ROAS), and Customer Acquisition Cost (CAC) across all marketing channels. It supports various attribution models (e.g., linear, time-decay) and projects long-term value using LTV, providing data for budget optimization, executive reporting, and identifying efficiency gaps.

A powerful skill designed to analyze raw ad campaign performance data from platforms like Google, Meta, and LinkedIn. It goes beyond simple metrics reporting, providing deep diagnosis by identifying underperforming ads, pinpointing budget waste, and calculating the true Customer Acquisition Cost (CAC). It generates concrete, actionable recommendations for what to cut, scale, or test next, optimizing your ad spend and maximizing ROAS.