Skill UI

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.

A comprehensive guide to production-ready patterns for Web3 development using the Alchemy SDK. Covers essential architectural components such as multi-chain client factories, response caching mechanisms, type-safe NFT query builders, and robust error classification, ensuring highly scalable and reliable blockchain applications.

This guide provides production-ready, high-quality patterns for integrating with Algolia Search v5. It covers critical architectural aspects such as implementing singleton client management, performing strongly typed searches, robust error handling (including specific API error codes), efficient batch indexing, and handling multi-tenant environments. Use these patterns to refactor existing code and establish reliable coding standards.

This guide details how to install and configure the Anima SDK for robust Figma-to-code generation. It is essential for developers setting up design-to-code automation pipelines, requiring configuration of both Anima and Figma API tokens. The SDK enables converting designs into production-ready React, Vue, or HTML components with Tailwind, MUI, or AntD styling.

This guide details production-ready patterns for integrating the Anima SDK into automated design-to-code pipelines. It covers best practices such as implementing a singleton client, managing generation cache, normalizing output for project conventions (e.g., TSX structure, utility classes), and incorporating retry logic for API resilience. Use it when building robust, reusable Anima client wrappers for enterprise applications.

This guide outlines critical security best practices for design-to-code pipelines using Anima and Figma. It covers securing API credentials by restricting token scopes (e.g., read-only access for Figma), enforcing server-side execution for SDKs, and implementing robust secret management using cloud services like GCP Secret Manager. This minimizes the risk of credential leakage in CI/CD environments.

This guide provides comprehensive instructions for installing and configuring the official Anthropic SDK for both Python and TypeScript. It covers setting up the necessary environment variables, managing API keys securely, and verifying the connection to the Claude Messages API endpoint. Essential for all new Claude API integrations.

Implements robust rate limiting, backoff logic, and quota management for the Anthropic Claude API. It handles 429 errors and optimizes request throughput by managing Requests Per Minute (RPM), Input Tokens Per Minute (ITPM), and Output Tokens Per Minute (OTPM). This skill provides advanced strategies including SDK retries, custom header awareness, queue-based throttling, and batch processing for stable, high-throughput production applications.

This resource provides production-ready architectural patterns for integrating Anthropic's Claude models using TypeScript and Python. It covers robust client wrappers, managing multi-turn conversations, enforcing structured JSON output via prefilling, and implementing multi-tenant architectures. Essential for building reliable, enterprise-grade AI applications.