Skill UI

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 provides a deep dive into optimizing Oracle Cloud Infrastructure (OCI) resources. It guides users through selecting appropriate compute shapes (e.g., E5.Flex, A1.Flex) and understanding the performance tiers for block volumes (Balanced, Ultra High Performance). Users can programmatically query available shapes, create performance-tuned volumes, and monitor real-time IOPS and network bandwidth using the OCI SDK, ensuring optimal infrastructure decisions for any workload.

A comprehensive guide for executing major Palantir Foundry migrations. It covers data migration (bulk and incremental sync), API version upgrades, and re-platforming using advanced patterns like the Strangler Fig pattern. Use this when transitioning data from legacy systems into Foundry or upgrading existing platform integrations.

Provides deep dive patterns for integrating with the Procore REST API. This skill guides users on using OAuth2 authentication to perform complex project management tasks, such as migrating construction data, retrieving company information, or managing RFIs and submittals within the construction workflow.

This skill provides deep dive patterns for setting up and utilizing a local development loop using QuickNode. It integrates blockchain RPC endpoints and the QuickNode SDK, allowing developers to connect to the blockchain, retrieve block numbers, and implement robust error handling (e.g., 401 Unauthorized, Rate limited). It is essential for building reliable Web3 and decentralized applications.

This skill provides a deep dive into integrating with the Ramp Developer API. It guides users on implementing patterns for corporate card management, expense tracking, and accounting synchronization using OAuth2 authentication and Python examples. Ideal for developers building financial SaaS products that require seamless data flow with Ramp.

A comprehensive guide detailing professional data migration strategies for Salesforce. It covers utilizing Bulk API 2.0, implementing ETL patterns, complex schema mapping, and preserving object relationships (parent-child). Ideal for large-scale CRM data transfers, org-to-org migrations, and data re-platforming.

A comprehensive tool for searching the Model Context Protocol (MCP) across various GitHub locations, including PRs, issues, and discussions. It allows users to track the full lifecycle of protocol specifications, from initial proposals to final merged changes. Furthermore, it facilitates deep dives into pull request reviews and comments, enabling the extraction of key maintainer rationales and design intent for accurate technical understanding.

This skill guides developers and SaaS founders on minimizing operational costs when building on the Shopify platform. It covers deep dives into Shopify store plan rate limits, optimizing GraphQL and REST API usage, implementing robust cost tracking mechanisms, and applying advanced strategies like caching and bulk operations to reduce billable expenditures.

A comprehensive deep dive into migrating entire e-commerce platforms to Shopify. This guide details how to transfer product catalogs, customer records, historical orders, and inventory using advanced methods like Shopify's GraphQL Admin API, bulk mutations (e.g., productSet), and staged uploads. Ideal for developers and technical teams undertaking platform replatforming or migrating data from other e-commerce systems.

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 deep-dive patterns and best practices for migrating enterprise data into Veeva Vault. It is essential for developers implementing advanced, compliant, and regulated workflows within the life sciences sector. Key considerations include validating API changes against strict compliance requirements, utilizing VQL for efficient data retrieval, and handling complex error scenarios during migration.