Skill UI

This skill provides production patterns for implementing robust data quality validation using Great Expectations, dbt tests, and formal data contracts. It is essential for building reliable, automated, and verifiable data pipelines, ensuring data integrity throughout the entire ETL/ELT process, and establishing clear data governance rules.

This guide outlines a production-ready lakehouse architecture using Unity Catalog, Delta Lake, and the Medallion pattern. It provides best practices for organizing Databricks workspaces, implementing three-level governance, defining compute strategies, and adopting CI/CD best practices with Asset Bundles for robust team collaboration.

A comprehensive guide to implementing best practices for security within Databricks. Learn how to manage secrets using scoped storage, enforce the principle of least privilege via Unity Catalog grants, audit API tokens, and apply advanced data protection techniques like column-level masking and row-level security for enhanced data governance and compliance.

This skill manages the complete lifecycle of Fireflies.ai meeting transcripts. It allows users to fetch raw data, export in various formats (JSON, CSV, SRT), sanitize sensitive personal information (PII Redaction), and enforce data retention policies to ensure compliance with regulations like GDPR and CCPA. Ideal for data governance and compliance workflows.

This tool applies advanced role mining techniques (including clustering and formal concept analysis) to analyze existing user-permission assignments. It discovers optimal, minimal role sets for Role-Based Access Control (RBAC) systems, helping organizations mitigate 'role explosion' and enforce the principle of least privilege. Ideal for identity governance and access control architecture redesign.

This comprehensive guide details the implementation of Cloud Data Loss Prevention (DLP) using industry-leading tools such as Amazon Macie, Google Cloud DLP, and Azure Information Protection. It provides structured workflows for discovering, classifying, de-identifying, and protecting sensitive data (PII, PHI, financial data) across cloud storage, databases, and data pipelines. Essential for achieving compliance with global regulations (GDPR, HIPAA, PCI DSS) and integrating robust data governance into CI/CD processes.

A comprehensive expert prompt for evaluating Power BI data models. It guides the assessment of model architecture (Star Schema, relationships), storage optimization (Import, DirectQuery, Dual), data quality, performance scalability, and governance best practices. Use this when reviewing an existing BI model to ensure it is robust, maintainable, and highly performant.

Prepares and validates research-only clinical decision-support evaluation, evidence-profile, cohort, survival, biomarker/model, privacy, and governance artifacts using aggregate or synthetic data. Not for patient care or live clinical use.

This comprehensive guide details best practices for securing a ClickHouse deployment. It covers essential security measures including role-based access control (RBAC) for granular user permissions, implementing row-level security for multi-tenancy, configuring network IP restrictions, enabling TLS encryption, and setting up detailed audit logging. Use this when hardening a production ClickHouse instance or enforcing strict data governance.

Comprehensive toolkit for managing sensitive Flexport supply chain data, including shipment records, customs declarations, and financial invoices. This skill enforces strict data governance, handling PII redaction, ensuring GDPR/CCPA compliance, managing mandated data retention periods (e.g., 5-7 years), and blocking restricted export items (ITAR) to maintain global trade compliance standards.

Implement robust data governance and security measures within Palantir Foundry. This skill guides users through PII redaction, applying data markings (e.g., CONFIDENTIAL, RESTRICTED), ensuring GDPR/CCPA compliance, and establishing automated data retention policies. It provides methods for column-level security and auditable deletion workflows for sensitive information.

This skill provides expert, guided assistance for creating, auditing, and improving Best Practice Analyzer (BPA) rules for Power BI semantic models. It utilizes an interactive, double-diamond discovery process to gather deep context about your organizational standards, model structure, and business goals before generating tailored, reusable data validation and governance rules.