Skill UI

This skill provides comprehensive strategies to optimize resource usage and mitigate rate limits when integrating with the OneNote Graph API. It focuses on reducing the operational 'cost' of making API calls by implementing metadata caching (TTL), utilizing JSON batch requests, and performing delta synchronization instead of full list fetches. Essential for high-volume, stable OneNote enterprise integrations.

This bundle generates comprehensive diagnostic logs for troubleshooting OneNote Graph API issues. It captures critical data points—such as the `request-id`, `x-ms-ags-diagnostic` headers, full error bodies, and decoded JWT token claims—for both successful and failed API calls. Use it for self-diagnosis, verifying permissions, or preparing detailed support tickets for Microsoft support.

This skill provides a comprehensive guide and code examples for creating a complete OneNote structure (Notebook, Section, and Page) using the Microsoft Graph API. It specifically addresses the critical technical requirement that OneNote content must follow strict XHTML standards, detailing common HTML pitfalls (such as unclosed tags, unsupported attributes, and merge cell usage) that can lead to silent content corruption during API calls.

Comprehensive guide for setting up delegated authentication for the OneNote Graph API using MSAL. Learn how to register applications in Azure AD, configure precise permission scopes, install SDKs (Python/TypeScript), and implement token caching. This guide specifically addresses the migration from deprecated app-only authentication methods.

This skill establishes a local development loop for OneNote integrations. It uses Mock Service Workers (MSW) to intercept calls to the Microsoft Graph API, providing realistic, fixture-based responses (e.g., Notebooks, Sections, Pages). This allows developers to rapidly build and test OneNote features without needing live Azure credentials or worrying about rate limit restrictions during development cycles.

A comprehensive guide for optimizing OneNote Graph API interactions at scale. It addresses common performance bottlenecks such as slow data retrieval from large notebooks, handling excessive image sizes, implementing efficient payload selection ($select), and paginating massive data sets using $top. Essential for building stable, high-performance automation workflows.

A comprehensive go/no-go checklist for deploying OneNote integrations using the Microsoft Graph API. It covers critical production failure points, including advanced authentication resilience (token caching, silent renewal), rate limit handling (exponential backoff, tenant-level tracking), and explicit error code management for robust deployment. Essential for launch reviews.

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 guides developers through critical breaking changes when upgrading OneNote integrations using the Microsoft Graph SDK. It details how to migrate from app-only to delegated authentication, replace decommissioned webhooks with polling, update deprecated search endpoints to OData filters, and upgrade the Graph SDK from v5 to v6. Essential for maintaining compatibility with modern Microsoft Graph APIs.

This comprehensive guide helps users diagnose and resolve common Oracle Cloud Infrastructure (OCI) API errors. It covers critical issues like authentication failures (401), authorization errors (404), SSL certificate problems, and rate limiting (429). The resource provides runnable Python and Bash scripts to pinpoint the exact root cause and implement the necessary fixes, significantly streamlining cloud debugging processes.

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.

This skill uses the OCI Usage API and SDK to programmatically track spending across compartments, services, and shapes. It allows users to query granular cost data, set detailed budget alerts (e.g., 80%, 95%, forecast), and identify cost optimization opportunities like utilizing Always Free tiers or preemptible instances, ensuring proactive and precise cloud cost management.