Skill UI

A comprehensive framework for establishing governance standards across Notion integrations. It enforces naming conventions for bots, manages page sharing policies to prevent data leaks, validates database schemas (e.g., required property naming, date formats), and provides access audit scripts. Ideal for maintaining consistency and security in large, multi-team Notion environments.

This skill provides comprehensive Python patterns for managing Oracle Cloud Infrastructure (OCI) Object Storage. It covers best practices for creating buckets, handling both simple and large multipart uploads, safely generating and revoking Pre-Authenticated Requests (PARs), and configuring lifecycle policies to ensure data integrity and proper object management within OCI.

This comprehensive skill guide provides deep insight into Oracle Cloud Infrastructure (OCI) IAM policy syntax and best practices. It covers the privilege verb hierarchy (inspect, read, use, manage), the correct structure for policy statements, and common patterns for granting least-privilege access across various compartments. Use this when developing automation scripts, setting up complex access control policies, or performing security audits in OCI.

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 guide provides comprehensive best practices for configuring Palantir Foundry integrations across development, staging, and production environments. It details how to manage environment-specific credentials, hostnames, and scope policies using structured Python code and platform-specific deployment manifests (Docker Compose, Kubernetes, gcloud). Use this skill when implementing resilient, multi-tier SaaS deployments that require strict credential and configuration separation.

This skill scans live websites or local codebases to detect all data collection signals, including cookies, analytics, forms, and third-party processors. It then generates a comprehensive, 12-section privacy policy tailored for GDPR and CCPA compliance. The system maps detected data touchpoints to specific legal bases (Consent, Contract, etc.), ensuring the resulting policy accurately reflects the actual data practices of your application or website.

A comprehensive guide for developers building apps on Shopify, focusing on mandatory privacy compliance (GDPR/CCPA). Learn how to correctly manage sensitive customer PII, implement critical privacy webhooks (data request, redaction), enforce data minimization principles, and establish robust data retention policies required for App Store submission and legal compliance.

This skill provides comprehensive guidance on implementing security best practices for Shopify applications. It covers critical topics such as secure API credential storage, verifying incoming webhooks using HMAC signatures, enforcing least-privilege access scopes, and setting Content Security Policies (CSP). Use this guide when building, auditing, or scaling a secure e-commerce integration.

This comprehensive guide details how to implement robust data governance and privacy controls within Snowflake. Learn to apply column-level masking policies, row access policies, and object tagging to secure PII data. It provides practical SQL examples for achieving GDPR/CCPA compliance, managing data subject rights (access, erasure, rectification), and setting up automated data retention tasks.

This guide provides a comprehensive methodology for load testing and capacity planning within Snowflake data warehouses. It covers optimizing query performance by adjusting warehouse sizes (Scale UP), simulating high concurrency using multi-threading (Scale OUT), and configuring advanced scaling policies (Standard, Economy, Maximized). Users can benchmark critical queries using SQL and simulate real-world user traffic using Python, ensuring robust and cost-efficient production environments.

This comprehensive guide details how to set up robust, isolated, and secure development, staging, and production environments within Snowflake. It utilizes best practices like zero-copy cloning for efficient data replication, implements granular Role-Based Access Control (RBAC), and defines environment-specific compute resources (warehouses) and data masking policies. This ensures data integrity, compliance, and cost optimization across all stages of the data lifecycle.

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.