Skill UI

This guide provides structured patterns for reliably interacting with the MindTickle REST API. It addresses complex enterprise challenges, such as org-aware authentication, handling nested progress data, and ensuring strict SCIM compliance. Key patterns include robust error wrappers (with rate limit retry logic), type-safe query builders for progress tracking, middleware for request scoping, and mock factories for testing sales readiness workflows.

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 guide provides advanced patterns for managing Notion API rate limits. It details implementing robust retry logic using exponential backoff with jitter, honoring `Retry-After` headers, and utilizing queue-based throttling (e.g., with p-queue) to proactively maintain a stable request rate (3 req/s). Essential for developing high-throughput, resilient, and stable Notion integrations.

This skill provides advanced rate limit handling for the OneNote Graph API. It implements a token bucket algorithm and queue-based throttling mechanism to prevent hitting rate limits (429 errors). It correctly parses the 'Retry-After' header and manages both per-user and per-tenant usage quotas, ensuring stable, high-throughput integrations.

This skill provides robust, production-grade patterns for interacting with the OneNote Graph API. It addresses critical issues encountered in real-world applications, such as rate limiting (429 errors), transient server failures (502/503), and silent file upload failures. It includes retry decorators, batch request strategies, and proactive rate limit tracking mechanisms for both TypeScript and Python, ensuring highly reliable integrations.

This skill provides comprehensive functionality for provisioning, managing, and scaling Oracle Cloud Infrastructure (OCI) compute instances using the Python SDK. It addresses common challenges like "out of host capacity" errors by implementing robust retry logic across multiple Availability Domains (ADs). Users can select optimal Flex shapes (AMD, ARM, Intel), manage the entire instance lifecycle (start, stop, reboot, terminate), and retrieve network details, ensuring reliable cloud workload deployment.

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 skill provides comprehensive techniques for building highly resilient clients when interacting with Oracle Cloud Infrastructure (OCI) APIs. It addresses the common 429 TooManyRequests throttling errors by implementing custom exponential backoff with jitter, utilizing the SDK's advanced retry configuration, and integrating circuit breaker patterns for large-scale, high-volume operations. Use this guide when automating bulk OCI tasks to ensure reliable data retrieval and prevent API failure due to rate limits.

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 guide provides production-ready patterns for integrating with the Palantir Foundry Platform SDK. It covers essential best practices like implementing thread-safe singletons, structured error handling, automatic pagination for large data sets, and robust retry mechanisms with exponential backoff. Ideal for refactoring existing Foundry integrations or establishing team coding standards.

A comprehensive TypeScript client wrapper for interacting with the Persona API. It simplifies identity verification workflows by providing methods for creating, retrieving, and paginating inquiries and verifications. Key features include implementing the Singleton design pattern, guaranteeing type-safe responses, and an advanced error classifier that intelligently handles retry logic (e.g., distinguishing between rate limits and invalid keys). Ideal for integrating reliable, production-grade KYC flows into applications.

This skill outlines implementation patterns for integrating with the Podium REST API, focusing specifically on handling rate limits and OAuth2 authentication. It provides best practices for secure API calls across key business functionalities such as messaging, review management, and payments. Learn how to implement error handling (e.g., 429 Rate Limited) and robust retry logic for stable system operation.