Skill UI

A comprehensive guide for debugging complex Claude integration issues beyond basic error handling. It covers advanced patterns such as managing inconsistent outputs (temperature control), validating tool use calls, recovering from streaming connection drops, handling max_tokens truncation, and correctly processing image/vision inputs. Essential for building robust, production-grade AI applications with Anthropic's API.

This skill provides robust mechanisms to interact with the Clari API, specifically designed to handle rate limiting (HTTP 429 errors) and manage asynchronous bulk export jobs. It implements exponential backoff and sequential scheduling, ensuring reliable data retrieval and forecasting exports without hitting API limits. Ideal for automated data pipelines and background job processing.

Provides comprehensive guides on setting up ClickUp API v2 authentication. Learn how to implement both Personal API Tokens (for server-side use) and OAuth 2.0 (for multi-user applications). This skill covers secure credential management, making authenticated HTTP requests, and handling common API error codes, ensuring robust integration development.

A comprehensive, production-ready patterns library for interacting with the ClickUp API v2. It provides typed wrappers, robust error handling, rate limit management, and implements singleton/multi-tenant support, making complex ClickUp integrations reliable and scalable in TypeScript projects.

This module provides robust handling for Fathom API rate limits (60 requests/minute per user). It implements advanced retry strategies (handling 429 errors and server failures) and efficient batch processing to reliably sync large volumes of meeting intelligence, such as transcripts and action items, into external systems like CRMs or project trackers.

A collection of production-ready patterns for interacting with the Figma REST API and Plugin API. It provides type safety, robust error handling, and reusable abstractions for tasks like building client wrappers, extracting design tokens, and traversing complex node trees. Essential for building scalable, enterprise-grade Figma integrations.

Provides robust patterns for handling API rate limits, throttling, and connection errors when integrating with the Framer API. It covers implementing exponential backoff, retry mechanisms, batching large CMS writes, and debouncing plugin operations to ensure reliable and high-throughput API calls.

A comprehensive checklist designed to validate the deployment, robustness, and security of an enterprise search system powered by Glean. It covers critical areas such as API integration, secrets management, error handling, monitoring, and permissions, ensuring a stable and reliable user experience in a production setting.

This module provides production-ready patterns for interacting with the Glean enterprise search API. It features a typed client, implementing singleton patterns and robust mechanisms for search and indexing. Key patterns include batch pagination, comprehensive error handling (e.g., retries for rate limits), and a fluent request builder for executing complex, reliable API calls.

This comprehensive checklist guides developers through the necessary steps to deploy a robust and reliable Grammarly API integration in a production environment. It covers critical aspects such as secure credential storage, rate limit handling, implementing text chunking, designing error resilience patterns (circuit breakers, retries), and establishing comprehensive monitoring and alerting systems to ensure high content quality and system uptime.

This professional guide provides a comprehensive, production-ready, layered architecture blueprint for building complex HubSpot CRM integrations. It details the project structure, service abstraction, error handling, and webhook processing patterns. Use this when designing new HubSpot integrations, reviewing existing codebases, or establishing robust architectural standards for enterprise applications.

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.