Skill UI

A comprehensive reference architecture for building robust and scalable supply chain integrations with Flexport's logistics API. It outlines a structured pipeline using Ingest (webhooks/polling), Core (business logic services), and Expose (REST API/Dashboard layers), ensuring reliable data flow, caching, and queueing best practices.

This guide provides production-ready patterns for interacting with the Flexport REST API v2 in TypeScript and Python. It teaches crucial best practices, including implementing a singleton client for state management, handling paginated data streams, automatic retry logic, and using Zod for robust response validation, ensuring reliable logistics integrations.

This SDK provides production-ready patterns for integrating with Fondo's tax and accounting data. It includes a Singleton Client for authenticated REST calls, robust error wrappers (handling retries and authentication), a Query Builder for flexible API requests, and structured types for parsing transactions, accounts, and reports. It is designed for building reliable internal financial tools.

Query and download public cancer imaging data (CT, MR, PET, pathology) from the NCI Imaging Data Commons. Supports metadata SQL lookups, DICOM access via idc-index, REST or MCP, cohort selection, browser visualization and license checks without authentication.

This comprehensive guide details common errors encountered when integrating with the Linktree API. It covers various HTTP status codes, such as 400 (Invalid URL), 401 (Authentication Failed), and 429 (Rate Limit). The document provides specific causes (e.g., expired keys, malformed data, plan restrictions) and actionable fixes, helping developers build stable and reliable link-in-bio services.

This skill provides programmatic access to manage the entire lifecycle of a Linktree profile and its associated links via the REST API. Users can retrieve profile metadata, create new links (with positioning and thumbnails), update link properties, and list all links. It is ideal for building integrations that automate content management, such as syncing product launches, rotating seasonal promotions, or bulk-importing link data from external sources.

This guide provides comprehensive, structured SDK patterns for interacting with the Linktree REST API. It addresses critical development challenges such as managing rate limits (429), handling authentication failures (401), and ensuring data consistency through typed objects. Patterns include a thread-safe singleton client, robust error wrappers with exponential backoff, fluent request builders for pagination, and middleware for logging and authorization, making API integration reliable and scalable.

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.

A comprehensive guide for migrating complex Miro board data across teams and organizations. It covers exporting board content—including items, connectors, tags, and members—to structured JSON files, and bulk-importing data into Miro using the REST API v2. Ideal for re-platforming from competing whiteboard tools or updating large-scale, legacy v1 integrations.

This skill provides a robust solution for configuring the Miro REST API v2 across development, staging, and production environments. It details best practices for achieving environment isolation by utilizing separate OAuth applications, dedicated board IDs, and implementing enterprise-grade secret management (e.g., AWS Secrets Manager, Vault). This setup prevents development activities from accidentally impacting critical production data.

This skill implements a comprehensive solution for managing Miro REST API rate limits. It incorporates a credit-based monitoring system, exponential backoff with jitter, and request queuing. This ensures reliable, high-throughput data integration by respecting Miro's usage quotas and handling API throttling (429 errors) gracefully.

A comprehensive, production-ready reference architecture for integrating with the Miro REST API v2. It implements modern layered design principles, managing OAuth 2.0 token lifecycles, processing webhooks, and providing robust services for board synchronization, item creation, and data caching. Ideal for building complex, scalable enterprise SaaS integrations.