Skill UI

A comprehensive TypeScript client wrapper for interacting with the Persona API. It simplifies identity verification workflows by providing methods for creating, retrieving, and paginating inquiries and verifications. Key features include implementing the Singleton design pattern, guaranteeing type-safe responses, and an advanced error classifier that intelligently handles retry logic (e.g., distinguishing between rate limits and invalid keys). Ideal for integrating reliable, production-grade KYC flows into applications.

This guide details best practices for securing Persona identity verification implementations. It covers critical security measures such as API key rotation, webhook HMAC verification, encrypting Personally Identifiable Information (PII) at rest, and maintaining comprehensive audit logs. Use this when integrating Persona into a production system requiring high data security and compliance.

Provides comprehensive strategies for migrating embedding models within Qdrant. This guide covers zero-downtime alias swapping, side-by-side A/B testing, and transitioning from dense to hybrid search. It is essential for production environments requiring continuous availability when updating models, dimensions, or switching providers.

This workflow demonstrates how to interact with specialized NFT and ERC-20 token APIs provided by QuickNode. It provides programmatic methods to fetch detailed metadata, check current token balances, and track comprehensive transfer history for blockchain assets. It is essential for developers building decentralized applications (dApps) or integrating advanced Web3 features into their product.

This comprehensive checklist guides developers through the essential steps and best practices for integrating QuickNode's RPC endpoints into production Web3 infrastructure. It covers connection establishment using the QuickNode SDK, crucial error handling (such as rate limits and 401 unauthorized errors), ensuring reliable and stable blockchain application deployment.

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.

This guide provides a comprehensive, step-by-step tutorial for setting up OAuth2 client credentials authentication for the Ramp API. It covers obtaining necessary API credentials, configuring the environment for both sandbox and production, and utilizing Python code to successfully acquire an access token and verify connectivity. This is essential for developers needing to integrate financial data, manage corporate cards, or synchronize expense records using Ramp's services.

This skill provides a deep dive into integrating with the Ramp Developer API. It guides users on implementing patterns for corporate card management, expense tracking, and accounting synchronization using OAuth2 authentication and Python examples. Ideal for developers building financial SaaS products that require seamless data flow with Ramp.

Provides implementation patterns for setting up multi-environment access using the Ramp Developer API. This skill is crucial for integrating corporate card management, expense tracking, and accounting synchronization with OAuth2 authentication, ensuring smooth data flow across different development or production environments.

This skill provides detailed patterns for integrating the Ramp Developer API for robust corporate card and expense management. It guides developers through the complete workflow, including OAuth2 token acquisition and making API calls (e.g., fetching card data), ensuring accurate and reliable financial data synchronization in a production environment.

This advanced skill automates the entire lifecycle of cloud infrastructure deployment. Instead of manual documentation review, it researches current best practices across multi-cloud platforms (AWS, GCP, Azure), synthesizes a coherent deployment strategy, and generates production-grade Infrastructure as Code (IaC). It outputs comprehensive artifacts, including Terraform modules, Kubernetes manifests, CI/CD pipelines, monitoring setups, and cost estimates, ensuring secure and optimized deployment.

A comprehensive checklist and implementation guide for utilizing RunwayML's API for advanced AI video generation and image editing. This skill provides the Python SDK pattern, covering tasks like image-to-video creation, model selection, and waiting for task completion. It also includes critical error handling for common issues (e.g., unauthorized access or insufficient credits), making it essential for developers building production-level creative AI applications.