Skill UI

This tool facilitates the deployment of Framer Server API integrations (such as CMS sync services and webhook handlers) to various cloud platforms, including Vercel, Fly.io, and Cloud Run. It is essential for setting up production environments, configuring platform-specific secrets, and establishing automated deployment pipelines for Framer-powered applications.

This comprehensive 'Hello World' guide serves as a foundational tutorial for Framer development. It demonstrates key skills across the ecosystem, including building functional plugins (UI interaction), creating customizable code components with property controls, implementing dynamic code overrides for sophisticated animations, and interacting with the Framer Server API for headless site data management. Ideal for developers starting a new Framer integration or mastering core API patterns.

This guide details how to set up a robust, local development loop for Framer plugins and components. It covers hot-reloading using Vite, writing unit tests with Vitest, and integrating with the Framer Server API. This workflow enables developers to achieve fast iteration cycles, ensuring seamless development from concept to production-ready prototype within the Framer environment.

Provides a comprehensive reference architecture for building production-ready Framer integrations. This guide covers optimal project layout, including plugins, server API backend, CMS synchronization patterns, and advanced code components. Use it when designing new, complex Framer applications or establishing enterprise-level development standards.

A comprehensive guide to production-ready, robust coding patterns for Framer development. This resource covers key areas including type-safe CMS interactions, plugin state management hooks, reusable component architectures, and server API wrappers. Use this when refactoring existing SDK usage or establishing scalable coding standards for complex Framer integrations.

This guide provides comprehensive security best practices for developers building with Framer. It covers secure credential management (like API keys and Site IDs), implementing the principle of least privilege, and securing plugins and Server API connections. Use this when auditing your Framer setup or ensuring production-level security for sensitive data handling.

This skill provides comprehensive guidelines and implementation examples for managing rate limits when interacting with the Glean Indexing and Search APIs. It includes a custom RateLimiter class, robust retry logic (handling 429 errors and server errors), and best practices for batch processing large datasets, ensuring stable, high-volume data ingestion pipelines.

This guide provides a deep dive into migrating from the deprecated Grammarly Text Editor SDK to the current, server-side REST APIs. It details the architectural shift from client-side embedding to modern API calls, covering how to implement Writing Score (v2), AI Detection (v1), and Plagiarism Detection (v1) using secure token authentication.

This guide provides best practices for optimizing HubSpot integration costs and performance. Learn to manage API call volume by implementing batch reads, using server-side search filters, and leveraging webhooks instead of continuous polling. It covers crucial concepts like rate limit monitoring and caching to prevent 'Too Many Requests' errors (429), ensuring stable and cost-effective development.

This skill provides advanced strategies to reduce operational costs associated with the Intercom API. It teaches best practices like replacing inefficient polling with real-time webhooks, implementing LRU caching for contact lookups, utilizing server-side search instead of list-and-filter methods, and batching requests. Use this when managing Intercom usage, optimizing infrastructure spending, or preventing rate limits and billing surprises.

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 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.