Skill UI

This integration facilitates the secure deployment of Alchemy-powered decentralized applications (dApps) across major cloud platforms like Vercel and Google Cloud Run. It is designed to ensure that sensitive Alchemy API keys are treated as server-side secrets, preventing client-side exposure. Use this when setting up backend services, RPC proxies, or deploying production-grade Web3 applications requiring secure access to blockchain data.

A comprehensive checklist and script to validate the production readiness of decentralized applications (dApps) powered by Alchemy. It covers critical security best practices, API infrastructure validation, smart contract deployment checks, and performance optimization, ensuring a stable and secure mainnet launch.

A comprehensive, multi-chain reference architecture for building robust decentralized applications (dApps) powered by Alchemy. This guide outlines the full stack, from the React/Next.js frontend and API layer to core blockchain interactions, incorporating best practices like rate limiting, caching, and secure API proxying. Ideal for planning complex, production-grade Web3 systems across multiple chains (ETH, Polygon, etc.).

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 comprehensive guide details multiple strategies for configuring Algolia across distinct environments (development, staging, production). It covers best practices such as index prefixing, scoped API keys, environment variable management, and implementing isolation guards, ensuring data integrity and reliable search functionality in CI/CD pipelines.

This skill provides a comprehensive guide to instrumenting Algolia search services for enterprise-grade observability. It integrates core monitoring patterns, including Prometheus metrics (latency, error rates, request counts), OpenTelemetry distributed tracing, and structured logging. Use this to achieve deep insights into search performance, user experience, and system health in production environments.

This comprehensive guide provides a production-ready reference architecture for implementing scalable search using Algolia. It details best practices for index design (including multi-index strategies), establishing robust data pipelines from source databases, structuring the service layer (search, indexing, settings), and integrating the frontend for optimal performance.

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 skill guides the deployment of the Anima design-to-code service as a backend API endpoint. It is essential for building microservices that convert Figma designs into functional code, suitable for internal design tools or production APIs. Supports deployment via Vercel and Google Cloud Run.

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 skill guides the secure deployment of Claude API integrations into production cloud environments. It provides comprehensive instructions for implementing services across multiple infrastructures, including Docker, GCP Cloud Run, and Kubernetes. The guide covers best practices such as secret management, health checks, and reliable rollback procedures to ensure high service reliability.