Skill UI

A comprehensive skill for deploying production-ready Node.js applications that utilize the Notion API to serverless platforms like Vercel, Railway, or Fly.io. This guide implements critical best practices including Notion client singletons for serverless environments, robust rate limit handling (3 req/sec), response caching strategies, and essential health check endpoints to ensure stability and scalability in production.

This guide provides advanced strategies for optimizing interactions with the Notion API. Learn best practices such as implementing Time-To-Live (TTL) caching, batching multiple block updates, avoiding inefficient N+1 query patterns, and managing rate limits. Use this when your Notion application suffers from slow responses, high latency, or excessive API call consumption.

This skill provides a comprehensive, production-grade reference architecture for building robust Notion integrations. It defines a multi-layered structure, including client singletons, repository patterns, service orchestration, and caching mechanisms. It is essential for migrating ad-hoc API calls to scalable, event-driven, and highly reliable enterprise applications that incorporate rate limiting, sophisticated error handling, and comprehensive testing strategies.

A guide to building production-grade, fault-tolerant integrations with Notion. Learn industry best practices for handling API failures, including exponential backoff retries, implementing circuit breakers to prevent cascade failures, utilizing offline caching for graceful degradation, and setting up health checks. Essential for maintaining high system uptime when interacting with the Notion API.

This skill provides comprehensive strategies to optimize resource usage and mitigate rate limits when integrating with the OneNote Graph API. It focuses on reducing the operational 'cost' of making API calls by implementing metadata caching (TTL), utilizing JSON batch requests, and performing delta synchronization instead of full list fetches. Essential for high-volume, stable OneNote enterprise integrations.

Comprehensive guide for setting up delegated authentication for the OneNote Graph API using MSAL. Learn how to register applications in Azure AD, configure precise permission scopes, install SDKs (Python/TypeScript), and implement token caching. This guide specifically addresses the migration from deprecated app-only authentication methods.

A comprehensive go/no-go checklist for deploying OneNote integrations using the Microsoft Graph API. It covers critical production failure points, including advanced authentication resilience (token caching, silent renewal), rate limit handling (exponential backoff, tenant-level tracking), and explicit error code management for robust deployment. Essential for launch reviews.

This guide provides advanced techniques for optimizing performance within Palantir Foundry. It covers efficient pagination, implementing client-side caching, using batch object retrieval (solving the N+1 problem), and tuning Spark transforms with memory configuration and incremental updates. Use this when experiencing slow API responses or inefficient data pipeline builds in Foundry.

This comprehensive guide details the process of implementing a secure and robust system for handling Palantir Foundry webhook events. It covers key steps including API-based webhook registration, mandatory signature verification with replay protection, sophisticated event routing for various object lifecycles (create, update, delete), and ensuring idempotent processing using caching mechanisms like Redis. Use this when external microservices must react reliably and immediately to changes within the Foundry Ontology or data assets.

This guide details how to optimize the operational costs associated with Persona's identity verification services. It covers best practices like selecting appropriate verification templates, implementing robust caching mechanisms, and structuring API calls to prevent duplicate inquiries, ensuring efficient and cost-effective KYC workflows.

Optimizes the performance of the Persona API for identity verification workflows. This guide demonstrates best practices such as implementing batch inquiry creation, caching verification results, and managing parallel polling to ensure efficient and reliable data retrieval when dealing with large volumes of identity data.

This SDK pattern guide provides production-ready, best-practice coding patterns for building robust decentralized applications (dApps) on the blockchain. It covers essential concepts like provider singletons, implementing exponential backoff retry logic for transient RPC failures, managing multi-chain connectivity, batching RPC calls for efficiency, and caching contract interactions using ethers.js. Ideal for developers building scalable, reliable Web3 infrastructure.