Skill UI

This guide provides a minimal working example for integrating with the Flexport REST API v2. It demonstrates core logistics operations, including listing shipments, retrieving detailed shipment milestones, and listing associated containers. It is ideal for developers starting a new Flexport integration, testing API connectivity, or learning the basic API patterns.

This script provides a minimal, working example using the Node.js SDK to interact with the Klaviyo API. It demonstrates core capabilities: creating or updating user profiles, tracking custom events associated with those profiles, and querying profile data. This is ideal for initial integration setup, testing basic API connectivity, or learning the foundational patterns of profile management and event tracking in an e-commerce marketing context.

This guide addresses the challenges of automating Apple Notes within Continuous Integration (CI) pipelines on macOS. Because standard CI environments restrict TCC (Transparency, Consent, and Control) permissions, direct automation via osascript usually fails. It provides patterns for using mock clients for unit testing and outlines best practices for running real integration tests on self-hosted runners with proper permissions.

This skill provides a practical guide to mastering core CRM functionality using the HubSpot API. It demonstrates full CRUD (Create, Read, Update, Delete) operations across Contacts, Companies, and Deals. Ideal for developers starting a new HubSpot integration, testing API connectivity, or learning fundamental business data management patterns.

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.

This skill provides a comprehensive, production-grade reference architecture for building robust Notion integrations. It defines a multi-layered structure, including client singletons, repository patterns, service orchestration, and caching mechanisms. It is essential for migrating ad-hoc API calls to scalable, event-driven, and highly reliable enterprise applications that incorporate rate limiting, sophisticated error handling, and comprehensive testing strategies.

This skill provides minimal working examples for connecting to Salesforce, executing SOQL queries, and performing full CRUD (Create, Read, Update, Delete) operations on standard sObjects. Examples are provided in both TypeScript and Python. It is ideal for initial Salesforce integration testing, learning core API patterns, or performing basic data manipulation in a Salesforce environment.

This guide provides a minimal, working example of connecting to a Shopify store using the GraphQL Admin API. It demonstrates how to initialize the API client, authenticate the connection, and execute a query to retrieve product and variant details. Ideal for developers starting a new e-commerce integration, testing API connectivity, or learning basic Shopify data retrieval patterns.

An expert playbook for systematically testing Insecure Direct Object References (IDOR) and Broken Object/Function Level Authorization (BOLA/BFLA). This guide covers finding object identifiers across all request vectors (URL, body, headers, cookies), implementing A-B testing methodologies, identifying various ID patterns, and executing horizontal or vertical privilege escalation attacks. Essential for deep API security auditing.

Comprehensive patterns and tools for writing robust tests for F# applications within the modern .NET ecosystem. This guide covers unit testing (xUnit, FsUnit), property-based testing (FsCheck), mocking dependencies (NSubstitute), and full integration testing (WebApplicationFactory). Ideal for improving test coverage, validating complex business logic, and establishing a resilient testing infrastructure.

Expert skill for building Model Context Protocol (MCP) servers and tools from scratch. Covers the full development lifecycle—from defining tool schemas and resources to implementation, testing, and publishing to registries. Supports robust patterns using TypeScript and Python for integrating custom capabilities into AI agents.

This skill provides a demonstration of interacting with external APIs and services using various command-line tools (CLI). It showcases core automation patterns, including fetching API documentation details and listing messages using specific application CLIs, making it ideal for testing and learning API integration flows.