Skill UI

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 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.

A comprehensive set of structured patterns for integrating with the Lucidchart REST API. These patterns handle complex requirements such as OAuth 2.0 token lifecycle management, mandatory API version negotiation, deep shape tree structures, and robust error handling for concurrency issues (e.g., document locking, rate limiting). Includes utilities for building type-safe queries and mocking test scenarios.

This skill provides comprehensive guidance on correctly configuring Model Context Protocol (MCP) servers within Claude Code. It details the critical concepts of configuration scope (user vs. project) and outlines best practices to prevent context pollution across different coding sessions. Users learn how to safely add, remove, and clean up MCP settings using specific JSON files, ensuring a stable and efficient development environment.

This tool provides a robust local development workflow (dev loop) for integrating with the MindTickle sales enablement and readiness API. It simulates critical data points—such as training modules, user progress, and coaching data—using mock services. This allows developers to build and test complex sales readiness dashboards and features rapidly and reliably, by toggling between a mock mode for fast iteration and a sandbox mode for real-world validation against the MindTickle platform.

This guide provides comprehensive strategies for optimizing API usage and managing costs when integrating with Miro. It covers credit monitoring, advanced techniques like caching, server-side filtering, batching, and subscribing to webhooks. By implementing these best practices, developers can drastically reduce API call volume, stay within rate limits, and ensure highly efficient and cost-effective application development.

This skill provides a comprehensive guide to setting up a robust local development workflow for building Miro integrations. It encompasses hot reloading for rapid iteration, structured unit and integration testing using Vitest, and configuring ngrok tunneling for simulating real-world webhooks and interacting with the Miro REST API v2.

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 comprehensive guide establishes a structured local development environment for integrating with the Navan API. Since Navan does not provide a sandbox, this workflow is crucial for minimizing calls to the production API. It implements token caching to persist access tokens, detailed request logging for debugging, and mock fixtures to allow for reliable, safe offline testing during the development cycle.

Designed to handle API integrations for services like Navan that lack a dedicated sandbox environment. This skill implements robust environment isolation (Development, Staging, Production) using separate OAuth credentials, advanced environment variable management, and a local development proxy/mock server. It ensures that development, testing, and CI/CD processes can run safely without modifying live production data.

Provides advanced debugging techniques for Notion API issues that standard troubleshooting cannot resolve. It covers response ID inspection, tracing complex permission chains, detecting property type mismatches, managing pagination edge cases, and resolving block nesting limits across Notion databases and pages. Essential for robust integration development.

This guide provides a comprehensive reference for diagnosing and fixing common Notion API errors. It covers critical HTTP statuses and specific error codes (such as 401 Unauthorized, 403 Restricted Resource, 404 Object Not Found, 400 Validation Error, and 429 Rate Limited). Use it when debugging failed Notion integrations, managing permissions, or resolving data structure issues for reliable development.