Skill UI

This skill provides a comprehensive guide to setting up robust CI/CD pipelines for Oracle Cloud Infrastructure (OCI). It leverages GitHub Actions and Terraform to automate the deployment, planning, and testing of OCI resources. Instructions cover secure API key authentication, best practices for managing Terraform state, and crucial workarounds for known OCI provider bugs, ensuring stable and reliable cloud deployments.

This skill provides a comprehensive Python guide to building a production-ready Virtual Cloud Network (VCN) on Oracle Cloud Infrastructure (OCI). It details the entire process from scratch, including creating the VCN, setting up Internet and NAT Gateways, configuring route tables, and defining Network Security Groups (NSGs). This is essential for engineers needing to provision complex, secure, and highly functional network architectures for development or production use.

A comprehensive guide to launching, listing, and managing Oracle Cloud Infrastructure (OCI) compute instances using Python. This guide specifically addresses the common 'Out of host capacity' error when using Always Free ARM shapes, implementing a robust retry loop to ensure successful deployment. Users can learn the full lifecycle management, from initial connection setup to instance state polling.

This guide provides comprehensive, step-by-step instructions to install and configure the Oracle Cloud Infrastructure (OCI) SDK and Command Line Interface (CLI). It details the secure process of generating RSA key pairs, setting up the mandatory local configuration file, and verifying API connectivity. Use this when integrating OCI services into applications, setting up new cloud environments, or troubleshooting authentication errors.

This skill addresses the challenge of managing Dev/Staging/Prod separation in OCI without native account separation. It uses Python to centralize configuration profiles, compartment IDs, and implements safety guardrails (like blocking destructive actions in production) to prevent accidental cross-environment deployments, ensuring repeatable and secure cloud workflows.

This skill allows users to programmatically set up a comprehensive observability stack for Oracle Cloud Infrastructure (OCI) resources. It guides the creation of metric queries, alarm rules, custom metric publishing, and detailed log searches using the Python SDK. By automating monitoring and alerting, users gain full control over their infrastructure visibility, eliminating reliance on the OCI Console UI for critical operational checks.

Comprehensive guide for setting up Continuous Integration/Continuous Deployment (CI/CD) pipelines for Palantir Foundry integrations using GitHub Actions. This workflow covers running PySpark unit tests, performing SDK integration tests with mocked APIs, and implementing custom linting rules to enforce Foundry-specific best practices. Use this when ensuring code quality and validating complex business logic changes in an automated build process.

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 guides the setup of comprehensive observability for Palantir Foundry integrations. It covers structured logging, Prometheus metrics (latency, errors), health checks, and Prometheus alert rules, enabling robust monitoring of API integration health, performance, and reliability. Use this when implementing production-grade monitoring for Foundry APIs.

This guide provides a comprehensive workflow for developing and testing with Persona's identity verification services in a controlled sandbox environment. It details setting up local environment variables, tunneling webhooks using ngrok, creating test inquiries via API, and mocking API responses for robust unit and integration testing.

A comprehensive checklist and guide for deploying Persona identity verification features into a production environment. It covers prerequisites, API integration steps using Python examples, error handling (401, 429, 404), and critical post-deployment tasks like compliance review, webhook setup, and monitoring for secure, scalable identity solutions.

This workflow guides the setup of a complete two-way communication system using the Podium API. It demonstrates how to set up webhooks to automatically receive inbound messages, implement auto-reply logic, and programmatically send outbound replies. It is essential for businesses needing to unify customer messaging, manage reviews, and process payments through a single integrated channel.