Skill UI

Designed to handle API integrations for services like Navan that lack a dedicated sandbox environment. This skill implements robust environment isolation (Development, Staging, Production) using separate OAuth credentials, advanced environment variable management, and a local development proxy/mock server. It ensures that development, testing, and CI/CD processes can run safely without modifying live production data.

Use this guide when designing a robust, production-grade integration with the Navan API. It details a multi-layered architectural blueprint, including an API Gateway for rate limiting and circuit breaking, a centralized OAuth Token Management Service, secure data synchronization pipelines, and comprehensive monitoring stacks. Ideal for complex enterprise systems requiring reliable connectivity to travel and expense data.

Build a robust, typed API wrapper for Navan's REST endpoints, compensating for the lack of an official SDK. This pattern provides automated OAuth 2.0 token lifecycle management, built-in retry logic (for rate limiting and service downtime), and structured error handling, ensuring reliable, type-safe API interactions in production environments.

This skill provides a comprehensive, production-grade reference architecture for building robust Notion integrations. It defines a multi-layered structure, including client singletons, repository patterns, service orchestration, and caching mechanisms. It is essential for migrating ad-hoc API calls to scalable, event-driven, and highly reliable enterprise applications that incorporate rate limiting, sophisticated error handling, and comprehensive testing strategies.

This skill provides comprehensive strategies for testing OneNote integrations within CI/CD pipelines. It supports mock-only PR checks using MSW for zero-dependency testing, and robust live integration tests for nightly builds using Azure AD credentials. Ideal for automating quality assurance when connecting OneNote features via the Graph API.

This skill provides a comprehensive guide and code examples for designing robust and scalable Identity and Access Management (IAM) structures within Oracle Cloud Infrastructure (OCI). It covers establishing secure compartment hierarchies, understanding complex policy inheritance rules, implementing least-privilege access controls, and utilizing dynamic groups for service authentication, ensuring best practices for enterprise cloud governance.

This comprehensive runbook provides a self-service solution for managing Oracle Cloud Infrastructure (OCI) outages when official status pages are misleading or silent. It guides users through independent service health probes (Identity, Compute, Networking), automated instance recovery actions (reboot, softreset), and critical procedures for cross-Availability Domain (AD) or cross-region failover using boot volume backups to ensure business continuity.

This guide provides production-grade patterns for using the Oracle Cloud Infrastructure (OCI) Python SDK. It addresses critical issues such as preventing Instance Principal memory leaks by implementing a thread-safe singleton client pattern, configuring explicit connection and read timeouts, and implementing robust exponential backoff retry strategies for transient errors (429, 5xx). Essential for building reliable, long-running OCI services.

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 teaches best practices for configuring robust, enterprise-grade Role-Based Access Control (RBAC) within Palantir Foundry. Learn how to define project roles (Viewer, Editor, Owner), manage organization-level groups to enforce least privilege, establish secure service user accounts for external integrations, and utilize marking-based data classification to ensure data governance and security across large datasets.

This guide details how to optimize the operational costs associated with Persona's identity verification services. It covers best practices like selecting appropriate verification templates, implementing robust caching mechanisms, and structuring API calls to prevent duplicate inquiries, ensuring efficient and cost-effective KYC workflows.

This comprehensive guide assists in deploying the Persona identity verification service to various cloud platforms. It covers essential development practices, including Dockerfile generation, secrets management, and implementing robust health checks. Use this skill when integrating KYC or identity verification processes into a cloud-native application.