Skill UI

This skill implements resilient API interaction patterns for external services. It uses adaptive rate-limiting techniques, including exponential backoff and jitter, to gracefully handle HTTP 429 errors, adapting to undocumented server limits. Furthermore, it provides a dedicated request queue mechanism to manage concurrency, ensuring reliable execution of large-scale, bulk data operations without triggering service throttling.

A guide to building resilient software integrations when dealing with external APIs that lack formal versioning, changelogs, or guaranteed backward compatibility. Learn defensive coding patterns, implementing schema drift detection via CLI tools (curl, jq), using fallback field names, and executing gradual feature flag rollouts to maintain production stability.

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 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.

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 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 skill provides implementation patterns for integrating with the Podium API, a robust platform for business messaging, review management, and payment processing. It demonstrates best practices for using REST APIs with OAuth2 authentication. Users can use this guide to connect their systems, handle complex operations like fetching location data, and implement critical error handling and retry logic for stability.

This workflow demonstrates how to interact with specialized NFT and ERC-20 token APIs provided by QuickNode. It provides programmatic methods to fetch detailed metadata, check current token balances, and track comprehensive transfer history for blockchain assets. It is essential for developers building decentralized applications (dApps) or integrating advanced Web3 features into their product.

Master advanced techniques for optimizing Salesforce API interactions. This guide covers optimizing SOQL queries using selective fields and indexed WHERE clauses. It details methods to minimize API calls by utilizing Collections and Composite APIs, implementing metadata caching, and efficiently streaming large result sets via Bulk API 2.0, ensuring stable and high-performance integrations.

This utility provides a robust local development loop for integrating search APIs (like SerpApi). By caching real search responses into fixtures, developers can test search integrations, write unit tests, and develop features offline without incurring continuous API costs. It includes detailed instructions and code examples for Python and Node.js, ensuring cost-effective and reproducible testing.

Master event-driven patterns within Snowflake using native alerts, email integrations, external functions, and cloud notification services (S3/GCS). This skill is essential for building robust, reactive pipelines that trigger actions (like sending alerts, calling external APIs, or ingesting data) in response to data changes or specific system events. Use cases include data quality checks, real-time monitoring, and automated notifications.

A comprehensive guide and implementation demonstrating how to handle API rate limits when interacting with AI services like Together AI. It details the token bucket algorithm for client-side throttling and provides robust retry mechanisms (exponential backoff) to manage 429 (Rate Limit Exceeded) and 5xx server errors, ensuring stable, high-throughput batch processing.