Skill UI

Automatically scaffolds the initial project specification and requirements documents (spec.json and requirements.md). It guides the user through scope definition by checking existing project briefs, clarifying intent (who, current state, desired change), and generating a structured, ready-to-use foundation for development planning. Ideal for starting any new feature or project.

A minimal working example demonstrating core Linktree API functionality using TypeScript. This guide illustrates the essential CRUD operations: retrieving a profile, creating new links, updating existing links, and listing all associated links. Ideal for developers building integrations or testing Linktree API interactions.

A comprehensive guide to implementing secure integration practices for Linktree APIs. Covers critical topics including secure secret management, robust webhook signature verification (HMAC-SHA256), input sanitization against XSS, and data redaction of Personally Identifiable Information (PII). Essential for developing resilient and secure third-party integrations.

This guide details setting up a robust Continuous Integration (CI) pipeline for validating Lucidchart diagramming API integrations. It employs a two-tier testing strategy: fast, mocked unit tests for basic logic verification (no OAuth required), and comprehensive, live integration tests that run only on the main branch merge to confirm full CRUD operations and export functionality against the live Lucidchart API. It also includes best practices for managing API rate limits and common error handling.

This skill deploys a containerized integration service to programmatically manage and manipulate Lucidchart diagram documents. It handles sophisticated tasks like manipulating shapes, updating connectors, and synchronizing visual collaboration data using the Lucid API. Ideal for integrating automated diagram generation and maintenance into CI/CD pipelines and enterprise workflows.

This skill provides a comprehensive guide on programmatically interacting with the Lucidchart API. It demonstrates how to create new documents, add structured shapes and connecting lines using standard import formats, and finally export the finished diagram (e.g., as PNG). It is ideal for automating the visualization of architecture diagrams, system workflows, or business processes within an application.

This document provides a comprehensive guide to managing rate limits when interacting with the Lucidchart API. It details specific limits for various operations (e.g., shape creation, document listing, exporting) and offers implementation patterns, including a token bucket rate limiter class and robust retry strategies. Use this knowledge to build automated workflows that reliably handle high-volume batch processing and prevent API throttling.

A comprehensive technical guide for developers managing integrations with Lucidchart. It details strategies for handling API version changes, including version detection, schema migration (e.g., flat shapes to page-grouped hierarchies), rollback mechanisms, and common error troubleshooting (e.g., permission model updates, coordinate system shifts). Essential for maintaining compatibility when using Lucidchart's evolving diagramming platform.

This skill provides comprehensive knowledge on setting up and handling real-time webhook events from Lucidchart. It details how to receive notifications—such as document creation, updates, sharing, and shape additions—via signed JSON payloads over HTTPS. Users can implement robust integrations for compliance auditing, triggering CI/CD pipelines, or notifying external collaboration tools like Slack.

Provides a minimal working example for integrating with the BambooHR API. It demonstrates fetching the complete employee directory, retrieving details for a single employee, and running custom reports. This guide is ideal for users starting new HR system integrations, testing API connectivity, or learning core HR data operations.

A comprehensive guide to connecting any Kubernetes cluster (EKS, GKE, AKS) to CAST AI for cost optimization, autoscaling, and security monitoring. This skill covers the entire setup process, including generating API keys, installing the CAST AI agent via Helm charts, and integrating the provider using Terraform.

This comprehensive guide teaches users how to set up a ClickHouse database environment. It covers creating a MergeTree table, inserting structured event data using TypeScript, and executing essential analytical queries (e.g., counting, grouping, unique user metrics). Ideal for beginners learning OLAP databases, testing connections, or mastering core data warehousing concepts.