Skill UI

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 guide establishes an optimized local development loop for Oracle Cloud Infrastructure (OCI). It teaches users how to bypass the slow web console by setting up dedicated CLI profiles (dev, staging, prod), managing environment variables, and creating robust shell aliases. This allows developers to perform complex operations—such as listing resources, launching instances, and managing storage—directly from the terminal, ensuring speed and consistency across all environments.

A comprehensive guide for migrating cloud workloads from AWS or Azure to Oracle Cloud Infrastructure (OCI). It provides detailed concept mapping for core services like IAM, networking (VPC/VCN), compute (AMI/Custom Image), and data storage. The skill covers end-to-end migration procedures, including using OCI CLI and Python SDK for controlled deployment and resource translation.

This skill guides users on building robust, event-driven pipelines within Oracle Cloud Infrastructure (OCI). It covers setting up OCI Events rules to monitor resource state changes (Compute, Object Storage, Identity). Events can then be routed to Oracle Notification Service (ONS) topics for real-time alerting or directly to OCI Functions (serverless processing) for complex, automated actions.

This guide outlines comprehensive security best practices for integrating with Palantir Foundry. It covers secure credential storage (using secrets managers like AWS Secrets Manager or Vault), implementing the Principle of Least Privilege via OAuth2 scopes, and establishing robust credential rotation procedures. Use this when securing production environments, setting up new data pipelines, or auditing existing API access controls.

A comprehensive guide to implementing a production-ready Shopify app architecture using the Remix framework. This template covers ideal project structure, integrating Prisma for robust session storage, and implementing official Shopify patterns like Theme App Extensions and webhooks. Use this when starting a new e-commerce SaaS application on Shopify.

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.

A comprehensive guide for executing core Snowflake data loading workflows. This covers setting up stages (S3, GCS, Azure), defining file formats (CSV, JSON, Parquet), and using COPY INTO for bulk loading. It also details advanced continuous ingestion using Snowpipe, enabling real-time data synchronization from cloud storage into Snowflake tables.

This skill provides comprehensive SQL queries and procedures to analyze and optimize Snowflake usage costs. It covers budgeting via resource monitors, right-sizing compute warehouses, tuning auto-suspend settings, and minimizing storage costs. Use it when reviewing billing, implementing cost controls, or reducing credit consumption in your Snowflake environment.

A comprehensive guide detailing the process of migrating data warehouses to Snowflake from major sources like Amazon Redshift, Google BigQuery, or on-premise databases. This resource covers critical steps including schema conversion (handling dialect differences like STRUCT/ARRAY to VARIANT), robust data transfer methods (S3/Cloud Storage, Python/Pandas), data validation techniques (checksums, row counts), and essential SQL syntax translation patterns.

This guide provides a comprehensive method for setting up Snowflake observability. It teaches how to leverage built-in ACCOUNT_USAGE views to monitor critical metrics such as query performance (latency, error rates), credit consumption, and storage growth. Furthermore, it demonstrates how to implement automated alerts for operational issues (e.g., high failure rates, stuck warehouses) and export metrics to external monitoring systems like Grafana or Prometheus.

A high-performance library built on TileDB for scalable ingestion, efficient storage, and retrieval of genomic variant data (VCF/BCF). It supports incremental sample addition, parallel querying across vast genomic regions, and robust data export for population genomics and cohort studies.