Skill UI

This guide details how to implement and handle real-time webhooks from Linktree. By subscribing to events (like link creation, profile updates, or analytics milestones), developers can automate tasks such as syncing data to a CMS, updating marketing sites, or alerting teams when key metrics are hit. It covers signature verification, event types, and best practices for idempotency.

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 guide provides comprehensive instructions for setting up and authenticating the Lucidchart SDK/API. It covers installation via npm/pip and configuring credentials (API keys, client secrets) using environment variables. Use this when starting a new project requiring programmatic diagram creation, document management, or integration with Lucidchart.

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 comprehensive checklist ensures that your Lucidchart integration is robust and resilient for production use. It covers critical areas such as OAuth2 token lifecycle management, handling document-level collaboration locks, managing rate limits, and ensuring correct API version pinning. By following these steps, developers can mitigate risks associated with concurrent edits, large diagram exports, and schema drift, guaranteeing a stable user experience.

A comprehensive guide for developers implementing secure integrations with Lucidchart. Covers critical security measures including OAuth2 client credential management, webhook signature verification (HMAC-SHA256), API version pinning, robust access control, and data redaction for handling sensitive diagrams and proprietary data.

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.

A tool designed for persistent context management within AI coding sessions. Memory Kit solves the problem of context loss that occurs during compaction or session restarts by saving, loading, updating, and sharing critical session state to a dedicated `MEMORY.md` file. Key functions include creating snapshots of goals and decisions, syncing context across team members via Git, and auditing/pruning stale entries, ensuring continuous workflow and knowledge retention.

This guide details migrating outdated and unsafe `as` type assertions in TypeScript test files. It introduces `@total-typescript/shoehorn`, which provides type-safe functions like `fromPartial()` and `fromAny()`. Use this utility when unit tests need to mock large objects or pass only a subset of required data, thereby maintaining strict type checking and improving test robustness. Note: This is strictly for test code.

This comprehensive guide is designed for developers and system administrators to diagnose and resolve common integration errors encountered when interacting with the MindTickle API. It covers critical areas such as authentication failures (401, 403), rate limiting, SCIM provisioning conflicts, and content access issues. The document provides explicit error codes, underlying causes, and actionable fixes, ensuring stable and seamless platform integration.

This guide provides comprehensive, step-by-step instructions for installing and securely configuring the MindTickle SDK and API credentials. It covers prerequisites, environment variable setup, and includes verification snippets for both Node.js/TypeScript and Python environments. Use this when initiating a new MindTickle system integration or developing an application that requires API access to sales, training, or performance data.

This guide provides advanced techniques to optimize integration performance with the MindTickle API. It addresses common enterprise bottlenecks such as slow learner progress queries, rate limit errors, and high-volume webhook backpressure. Techniques covered include implementing Redis caching, using offset-based pagination for bulk data retrieval, managing concurrent requests with connection pooling, and applying exponential backoff for robust rate limit handling.