Skill UI

A deep-dive guide for re-architecting complex enterprise systems within the Adobe ecosystem. This skill covers three major migration patterns: consolidating multiple legacy Adobe APIs into the unified Firefly Services SDK, implementing 'strangler-fig' patterns to replace competitor APIs (e.g., PDFTron, Cloudinary) with native Adobe services, and migrating authentication methods (JWT to OAuth). It provides practical code examples and architectural advice for full platform replatforming.

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.

A comprehensive guide for developers tackling critical Adobe API upgrades. It covers major breaking changes and migration paths, including transitioning from JWT to OAuth Server-to-Server authentication, updating the PDF Services SDK from v3 to v4 (job-based API), and migrating Photoshop endpoints from v1 to v2. Essential for ensuring stable integration with Adobe Creative Cloud services.

A comprehensive guide for diagnosing and fixing common errors encountered when using the Alchemy SDK and Web3 APIs. Covers issues such as authentication failures (401/403), rate limits (429), invalid parameters, RPC failures, and specific NFT/Enhanced API errors. Ideal for developers integrating blockchain functionalities.

This guide provides step-by-step instructions for installing the Alchemy SDK and setting up secure API key authentication. It details how to connect to multiple major blockchain networks (including Ethereum, Polygon, Arbitrum, etc.) using Alchemy's robust infrastructure. Essential for developers building decentralized applications (dApps) that require scalable, multi-chain RPC access.

Provides a comprehensive guide for managing Amazon Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. It covers direct query execution, robust schema management, safe schema evolution, multi-tenant isolation patterns, and IAM authentication. Use cases include database development, complex migrations (e.g., MySQL to DSQL), and optimizing query performance using detailed plan explainability tools.

A comprehensive debug bundle designed to collect diagnostic evidence from AppFolio property management API integrations. It captures essential data points including API connectivity status for properties, tenants, and work orders; authentication status using client credentials; recent integration error logs; and environment metadata. This allows support engineers to perform root cause analysis and diagnose issues like connectivity failures or authentication rejections without needing live environment access.

A comprehensive guide designed to diagnose and resolve common errors and exceptions encountered when using the AssemblyAI API. It covers critical topics such as authentication failures (401), rate limiting (429), transcription status errors, streaming issues, and LeMUR processing, helping users debug and maintain robust data pipelines.

A comprehensive diagnostic utility designed to collect all necessary evidence when troubleshooting Attio API connectivity issues or preparing a support ticket. It checks API authentication, object schema definitions, rate limit status, and general endpoint health using shell scripting and cURL.

This guide details how to set up and manage authentication for the Attio REST API. It provides comprehensive instructions for both access token (scoped) and OAuth 2.0 flows. Users will learn how to generate tokens with specific scopes, configure environment variables, and initialize API calls using standard methods like fetch or curl. Essential for integrating applications with Attio data.

A comprehensive guide for working with Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. This skill covers full lifecycle development, including schema management, data migration (e.g., MySQL to DSQL), multi-tenant patterns, IAM authentication, and advanced query plan explainability. Essential for building robust, scalable applications.

A comprehensive guide for developing and managing applications using Amazon Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. This skill covers core capabilities including direct query execution, robust schema management, safe data migration from MySQL, multi-tenant architectural patterns, IAM-based authentication, and detailed query plan explainability for performance tuning. Essential for developers handling complex database evolution.