Skill UI

This guide identifies and corrects the most common programming mistakes and anti-patterns when integrating with Adobe APIs. It covers critical topics such as migrating from deprecated JWT to OAuth, implementing token caching, handling asynchronous job polling, and secure file uploads. Essential reading for building robust, production-ready Adobe integrations.

A comprehensive guide for developers to optimize performance when integrating Adobe APIs (Firefly, PDF, Photoshop). Techniques covered include implementing token caching, parallelizing asynchronous job submissions, leveraging response caching (LRU), and optimizing connection handling to minimize latency and maximize throughput.

A comprehensive guide detailing three validated architectural patterns (Monolith, Service Layer, Microservice) for integrating with the Canva Connect API. This blueprint helps developers choose the optimal structure—from simple MVPs to complex enterprise systems—by addressing concerns like token management, asynchronous exports, rate limiting, and scaling strategies.

A comprehensive resource detailing common anti-patterns and critical mistakes when integrating with the Canva Connect API. This guide covers essential best practices, including robust token management, handling rate limits, implementing asynchronous workflows, and securing webhooks. Ideal for developers conducting code reviews, onboarding new team members, or auditing existing Canva-related integrations.

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.

A collection of production-ready patterns for integrating frontend applications with backend APIs. It solves complex asynchronous issues such as race conditions, stale data, and duplicate requests. Patterns include centralized API layering, request cancellation (AbortController), exponential backoff retries, debouncing, and request deduplication, ensuring highly resilient and reliable user experiences.

Provides validated architectural patterns for integrating Claude API into production systems. Learn to implement synchronous API gateways, scalable asynchronous queue-based processing, and multi-model routing strategies. This guide helps developers design robust, high-volume, and fault-tolerant AI applications.

This comprehensive guide covers the full lifecycle of Apify Actors, enabling deployment from local environments to production platforms. Learn to trigger scraping tasks via APIs (e.g., Next.js routes), consume structured data, and handle results asynchronously using webhooks in frameworks like Express.js. Ideal for building robust, data-driven web services and automating data pipelines.

This guide provides comprehensive instructions for deploying AssemblyAI-powered transcription services to major cloud platforms like Vercel, Google Cloud Run, and Fly.io. It covers essential steps including secure secret management, setting up webhook endpoints for asynchronous notifications, and implementing streaming token endpoints for real-time client use in production environments.

A comprehensive toolkit for debugging complex Adobe API issues that resist standard troubleshooting. Covers advanced techniques such as IMS token introspection, Firefly async job failure analysis, mapping PDF Services error codes, and deep network-layer diagnostics (DNS, TLS). Essential for resolving difficult, production-level integration bugs.

This guide implements production-grade reliability patterns for integrating with external APIs, specifically Adobe services. It demonstrates how to use circuit breakers to prevent cascading failures, implement graceful degradation with cached fallbacks, and utilize dead letter queues (DLQ) for reliable asynchronous job handling. It ensures your application maintains high availability even when external services are unstable or rate-limited.

A comprehensive guide to production-ready patterns for integrating with Adobe services (Firefly, PDF, etc.). This includes robust authentication with token caching, typed API wrappers with advanced error classification, exponential backoff retry mechanisms, and job polling for asynchronous tasks. Essential for building reliable and maintainable Adobe API integrations in TypeScript or Python.