Skill UI

This document provides the enterprise reference architecture for deploying Guidewire InsuranceSuite Cloud. It details the integration flow from the Jutro Frontend through the Cloud API Gateway to core modules like PolicyCenter, ClaimCenter, and BillingCenter. It guides users on the overall system structure, data warehousing via DataHub, and analytics using Explore.

This guide outlines critical security measures for integrating with Guidewire systems, which handle sensitive policyholder PII, claims, and financial data. It covers best practices for implementing OAuth2 JWT authentication, API role scoping, input validation, and sensitive data redaction (PII) to prevent data breaches and meet compliance standards.

A comprehensive framework for assessing the security, privacy, and compliance posture of Kling AI integrations. It covers crucial areas such as data residency, credential management, content policy adherence, and GDPR compliance (e.g., right to erasure). Use this guide when preparing for security audits or implementing robust data handling protocols for AI-generated content.

This skill generates a comprehensive, minimal, and enforceable security policy document (Blue Book) for applications handling sensitive data. It structures requirements using MUST/SHOULD/CAN language, explicitly defining assumptions, scope, threat models, and security gates. It is essential for establishing clear security guardrails and ensuring compliance early in the development lifecycle.

A comprehensive guide for web security professionals detailing advanced techniques to bypass Content-Security-Policy (CSP) headers. It covers exploiting weaknesses such as unsafe-inline/unsafe-eval, JSONP endpoints, base-uri, and nonce/hash gaps. Used during penetration testing or bug bounty hunting to achieve Cross-Site Scripting (XSS) or data exfiltration even when CSP is implemented.

Provides end-to-end guidance for fine-tuning and serving Physical Intelligence’s OpenPI pi0 family (pi0, pi0-fast, pi0.5) with both JAX and PyTorch backends, covering dataset prep, norm stats, checkpoint conversion, and low-latency WebSocket policy inference for ALOHA, DROID, and LIBERO tasks.

A comprehensive guide for implementing Data Loss Prevention (DLP) policies across the Microsoft 365 ecosystem using Microsoft Purview. It details how to protect PII, PHI, and PCI data across Exchange Online, SharePoint, OneDrive, and endpoints. Key features include configuring custom sensitivity labels, regex-based sensitive information types, and endpoint DLP rules via PowerShell, ensuring robust compliance and data governance.

Provides comprehensive guidelines for securing CoreWeave cloud deployments on Kubernetes. Covers critical security areas including credential management, implementing Role-Based Access Control (RBAC), enforcing network isolation policies, and handling sensitive secrets for ML model access. Essential for hardening GPU workloads and protecting data in cloud environments.

This skill provides comprehensive guidance on implementing robust data governance and security guardrails within Snowflake. It covers advanced features such as network rules, mandatory authentication policies (MFA, Key Pair), session timeouts, and statement-level controls. Use this when enforcing strict security policies, achieving regulatory compliance, or structuring robust data access controls for a Snowflake environment.

A comprehensive preflight checklist for authors submitting manuscripts to the American Economic Journal: Applied Economics (AEJ: Applied) via the AEA ScholarOne system. It guides authors through verifying critical elements like front matter, JEL codes, data policy compliance, required fees, and disclosure statements, ensuring the manuscript is fully prepared before the final submission.

This specialized tool guides users in drafting and refining academic abstracts for top-tier finance and economics journals, such as CTE. It enforces strict structural rules, including the five-sentence pattern, and mandates the inclusion of quantified findings, specific data sources (CSMAR, WIND, etc.), and clear mechanisms, while eliminating vague, boilerplate policy language.

This comprehensive guide outlines the strict requirements for preparing replication and data packages for submission to The Econometrics Journal (EctJ). It covers everything from README structure and detailed code inclusion to ensuring Monte Carlo determinism and managing restricted data, ensuring the method's credibility for reviewers.