Skill UI

A comprehensive guide to setting up a robust and fast local development workflow for HubSpot integrations. This setup includes creating a client singleton, configuring unit and integration tests, and implementing API mocking utilities (using Vitest) to ensure development can proceed efficiently without relying on live HubSpot API calls or requiring excessive sandbox usage. Perfect for building reliable, scalable CRM connectors.

A comprehensive guide for implementing robust policy enforcement and security guardrails in HubSpot integrations. This methodology covers secret scanning within CI/CD pipelines to prevent token leaks, utilizes ESLint rules for enforcing modern authentication practices, and leverages TypeScript for compile-time and runtime checks. Use this when setting up secure, scalable, and compliant codebases for HubSpot APIs.

This collection provides production-ready, idiomatic patterns for the @hubspot/api-client SDK, specifically tailored for TypeScript. It addresses critical development concerns including creating typed wrappers, implementing robust, structured error classification (handling rate limits, authentication issues, etc.), and managing efficient batch operations (create, read, upsert) for HubSpot CRM data. Use this when building scalable, reliable, and maintainable HubSpot integrations.

This comprehensive guide provides a production-ready, layered architecture pattern for integrating external systems with Intercom. It covers service management (Contacts, Conversations), webhook processing, contact syncing (CRM), and robust client handling, ensuring type safety and scalability. Use this when designing new, complex Intercom integrations or reviewing existing project structures.

Provides advanced strategies for managing API rate limits when integrating with Klaviyo. This skill implements robust patterns like exponential backoff, respecting `Retry-After` headers, and utilizing request queuing. It ensures stable, high-throughput data synchronization, preventing 429 errors during large-scale bulk operations.

This skill defines canonical, ordered middleware patterns for LangChain and LangGraph agents. It addresses critical production-level LLM deployment issues, including PII leakage across tenants, token budget overconsumption, prompt injection defense (Guardrails), and cache key corruption. Use this to build secure, scalable, and cost-aware AI applications.

A comprehensive architectural blueprint for building a high-read, optimized integration layer with the Linktree link-in-bio platform. This design utilizes a two-tier caching strategy (Redis), event queues (RabbitMQ/SQS), and webhooks to handle extreme traffic ratios. It ensures profile data remains fresh, while providing real-time click analytics and robust scalability considerations for production environments.

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 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.

Designs a scalable, version-controlled integration layer for the Lucidchart platform. This architecture tracks every shape mutation for diffing and rollback, implements real-time collaboration event consumption, and manages asynchronous export pipelines (PNG/SVG/PDF) using dedicated worker pools and caching strategies. Ideal for developing robust SaaS integrations requiring rigorous data synchronization.

This skill provides comprehensive deployment scaffolding for Miro REST API v2 integrations. It manages the entire lifecycle, including setting up OAuth 2.0 authentication, handling incoming webhooks, and ensuring continuous health monitoring. It supports deployment across major cloud platforms like Vercel, Fly.io, and Google Cloud Run, simplifying complex multi-environment SaaS application setups.

Configure comprehensive, enterprise-grade access control for Miro via REST API v2. This module manages organization structure, team membership, and granular board permissions (RBAC). It supports advanced features like automated user provisioning using SCIM 2.0 and SSO integration, making it essential for implementing secure, scalable collaboration platforms in large corporate environments.