Skill UI

This skill provides an expert guide for managing the complete Odoo purchase workflow, from RFQ to vendor bill. It covers configuration of purchase orders, approval workflows, vendor price lists, and 3-way matching controls to ensure accurate procurement and accounting processes within the ERP system.

Implement PCI DSS v4.0 requirements for protecting cardholder data across the Cardholder Data Environment (CDE). Guides SAQ selection, network segmentation, encryption, access controls, and ongoing testing for payment card processing.

This critical protocol is the ultimate measure for dealing with deeply corrupted, unmaintainable, or structurally rotten code modules. Instead of risky patching, it mandates a controlled, multi-phase process to completely delete the target and rebuild it from scratch. It ensures precise identification of all public interfaces, implicit contracts, and working behaviors (the Preservation List) before any removal occurs, guaranteeing the new implementation matches the original functionality while resolving deep architectural debt.

This skill involves conducting threat modeling using the STRIDE methodology to identify potential security threats, assess risks, and design appropriate security controls. It is essential when designing secure systems, making architectural changes, or preparing for security audits. The process includes analyzing data flows, identifying trust boundaries, and mitigating risks related to spoofing, tampering, repudiation, information disclosure, denial of service, and privilege escalation.

This comprehensive workflow guides users through a multi-phase process for assessing web application security. It is designed to systematically test for common vulnerabilities listed in the OWASP Top 10, including SQL injection, XSS, broken authentication, and access control issues. Ideal for professional penetration testing, security auditing, and bug bounty hunting.

This skill enables comparing process cohorts, departments, or time periods using matched definitions. It involves fixing outcome definitions, metrics, and aggregations while freezing baselines. Users should use specific API calls to retrieve metrics and statistics for matched pairs, ensuring reproducibility and avoiding data leakage between exploratory and baseline filters. It supports analyzing before-and-after results with strict time window controls.