Skill UI

This runbook provides comprehensive, step-by-step procedures for managing critical incidents involving Evernote integrations. It covers diagnosing API outages, resolving persistent rate limits, handling authentication failures, and recovering from data synchronization issues. Use this guide during production troubleshooting or service outages to ensure rapid and systematic incident response, including circuit breaker activation and graceful degradation strategies.

This guide provides a comprehensive walkthrough for setting up the Evernote SDK and implementing OAuth 1.0a authentication. It details the entire process, from acquiring API keys via the developer portal, installing the SDK (for Node.js or Python), configuring environment variables, to initializing the client. Use this skill when starting a new Evernote integration or needing to verify secure API connectivity to the Evernote Cloud.

This guide provides a comprehensive setup for an efficient local development workflow when integrating with the Evernote API. It covers establishing a proper project structure, configuring sandbox credentials, and implementing both Developer Token and full OAuth flows. Use this when setting up testing environments and ensuring reliable API connectivity.

Provides a comprehensive framework for implementing observability in Evernote integrations. It covers metrics collection (Prometheus), structured JSON logging, distributed tracing (OpenTelemetry), and defining health/readiness endpoints. Use this when setting up production monitoring, alerting, and performance tracking for mission-critical Evernote APIs.

A comprehensive guide to boosting Evernote API integration performance and scalability. Techniques covered include implementing response caching (using Redis), performing metadata-only queries to minimize data transfer, batching multiple operations, and optimizing client connection management. Essential for building high-performance, reliable applications.

Provides comprehensive strategies and code examples for managing API rate limits when integrating with the Evernote platform. Techniques include implementing exponential backoff, wrapping clients with minimum delays, batching operations, and optimizing queries (e.g., using metadata only) to ensure robust, high-throughput, and stable API usage.

This guide provides comprehensive best practices for securing Evernote API integrations. It covers essential topics like secure credential management using environment variables or vaults, implementing CSRF-protected OAuth flows, encrypting access tokens at rest using AES-256-GCM, rigorous input validation, and ensuring secure logging practices by redacting sensitive data. Use this when hardening your application against data breaches.

This comprehensive guide provides detailed steps for upgrading Evernote SDK versions. It specifically addresses common breaking changes, such as converting legacy callback-based API calls to modern Promise/async-await patterns. It also demonstrates how to build compatibility layers for seamless, gradual migration in existing production applications.

A comprehensive guide to diagnosing and resolving common errors and status codes (400, 401, 429, etc.) encountered when integrating with the Exa API. Provides specific solutions for malformed requests, authentication failures, rate limit issues, and content fetching errors, ensuring smooth API debugging and integration.

A comprehensive guide to optimizing costs when using the Exa API. This skill teaches techniques like implementing query-level caching (LRU/Redis), strategically selecting search types (keyword vs. neural), query deduplication for batch jobs, and setting up usage monitoring and budget alerts. Use this when managing Exa billing or reducing API expenditure in RAG applications.

This tool collects comprehensive diagnostic information for Exa API issues. It generates a structured debug bundle that includes environment details (Node, OS), API connectivity tests, and detailed request/response payloads. Use this bundle when encountering persistent Exa issues and filing a support ticket to ensure quick and accurate troubleshooting by the support team.

A comprehensive guide for deploying Exa-powered search APIs to production environments. This skill covers best practices for integrating Exa into Vercel Edge Functions, Docker containers, and Google Cloud Run. It includes detailed steps for secret management, implementing Redis caching for performance, and setting up health check endpoints, ensuring a robust and scalable production search solution.