Skill UI

This guide details configuring enterprise-grade Role-Based Access Control (RBAC) for Adobe services. It covers integrating Adobe Admin Console with external Identity Providers (Azure AD, Google Workspace) using SCIM provisioning, automating user provisioning via the User Management API (UMAPI), and defining custom product profiles to enforce fine-grained, centralized permissions across the organization.

Develop a complete, multi-chain wallet portfolio tracker using Alchemy's Enhanced APIs. This workflow aggregates ETH balances, ERC-20 token holdings, NFT assets (ERC-721/1155), and transaction history across major chains (Ethereum, Polygon, Arbitrum, Optimism, Base). Ideal for building sophisticated decentralized applications (dApps) and comprehensive Web3 dashboards.

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.

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, 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.).

This guide provides a comprehensive workflow for deploying Algolia-powered search applications to various cloud platforms, including Vercel, Fly.io, and Google Cloud Run. It covers best practices for API key separation (Admin vs. Search-Only), setting up environment variables, and implementing both backend API routes and advanced frontend components using React InstantSearch or vanilla JavaScript.

A comprehensive guide for rapid incident response when Algolia search functionality fails. This runbook provides structured procedures for triage, differentiating between infrastructure outages and internal configuration errors (e.g., API keys, indexing failures). It includes severity classification, diagnosis steps, and code examples for immediate remediation, such as key rotation or implementing circuit breakers.

A comprehensive guide for migrating search functionality from alternatives like Elasticsearch, Typesense, or Meilisearch to Algolia. It details the necessary steps, including data migration, query translation (e.g., ES to Algolia), and implementing a zero-downtime swap using the Strangler Fig pattern.

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 skill provides a comprehensive guide to optimizing Algolia search performance. It covers best practices for reducing record size, selecting optimal searchable attributes, tuning faceting, implementing client-side caching, and configuring replica strategies. Use this guide to minimize search latency and drastically improve the end-user search experience.

This guide provides comprehensive strategies for managing Algolia's rate limits and throttling mechanisms. It covers per-API-key limits (e.g., max queries per hour) and server-side indexing queue limits. Learn how to implement robust backoff strategies, exponential backoff, and controlled batch indexing using TypeScript examples to ensure application stability under high load.