Skill UI

A comprehensive guide for developers migrating the intercom-client npm package, particularly addressing major version jumps (e.g., v5 to v6) and associated breaking changes. Learn how to update client initialization, modify contact and conversation operations, and handle API version pinning using TypeScript and modern asynchronous patterns.

Provides advanced strategies for managing API rate limits when integrating with Klaviyo. This skill implements robust patterns like exponential backoff, respecting `Retry-After` headers, and utilizing request queuing. It ensures stable, high-throughput data synchronization, preventing 429 errors during large-scale bulk operations.

This guide provides comprehensive strategies and code examples for managing and reducing API costs associated with large-scale usage of Lucidchart. It covers optimizing document exports through caching, batching operations, reducing excessive real-time collaboration events, and efficiently managing user seats to ensure cost-effective diagramming workflows.

This utility provides a local, mock development loop for integrating and testing the Lucidchart diagramming API. It simulates document, page, and shape data, allowing developers to build and validate diagram automation tools (CRUD operations) without needing a live Lucid account. This enables fast iteration and robust debugging in a controlled sandbox environment.

This guide provides advanced techniques for optimizing API interactions with Lucidchart, especially when dealing with enterprise diagrams containing thousands of shapes. Key strategies include implementing Redis caching for metadata, utilizing cursor-based pagination for list retrieval, grouping updates for batch operations, and robust rate limit handling with exponential backoff. It ensures stable and high-throughput integration.

This guide provides a comprehensive overview of the rate limits imposed by the MindTickle API across various endpoints, such as user management, content upload, and quiz result exports. It details specific limits for different operations and provides robust engineering solutions using TypeScript. Key implementation strategies include implementing a token-bucket rate limiter, developing a retry mechanism with exponential backoff, and optimizing bulk data processing through batching to ensure stable and efficient application integration.

This comprehensive workflow provides full Create, Read, Update, and Delete (CRUD) capabilities for managing Miro boards and all embedded items. Users can programmatically manage entire boards, sticky notes, shapes, cards, frames, and tags using the official REST API v2. Ideal for integrating Miro into automated workflows, automating retrospective reports, or building complex collaboration tools that require structured board content manipulation.

A comprehensive guide and working example demonstrating how to programmatically interact with the Miro REST API v2 using TypeScript. This skill covers the full board lifecycle, allowing users to create boards, add diverse items (sticky notes, shapes), connect elements with connectors, and list all board contents. Ideal for testing new Miro integrations or automating workflow processes.

This guide provides advanced best practices for optimizing interactions with the Miro REST API v2. It covers essential patterns like cursor-based pagination to prevent over-fetching, implementing robust caching strategies (In-Memory/Redis) for reduced latency, and managing connections and concurrency for reliable bulk operations. It is designed for building scalable, high-throughput, and efficient integrations into Miro.

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.

Provides advanced patterns for high-volume Notion API interactions. Learn how to manage rate limits (3 req/sec) using worker queues, implement parallel requests with p-queue, and efficiently paginate massive databases (100K+ records) using incremental sync and chunked processing. Essential for building robust, scalable Notion automation tools.

This guide establishes an optimized local development loop for Oracle Cloud Infrastructure (OCI). It teaches users how to bypass the slow web console by setting up dedicated CLI profiles (dev, staging, prod), managing environment variables, and creating robust shell aliases. This allows developers to perform complex operations—such as listing resources, launching instances, and managing storage—directly from the terminal, ensuring speed and consistency across all environments.