Skill UI

This skill provides a robust solution for configuring the Miro REST API v2 across development, staging, and production environments. It details best practices for achieving environment isolation by utilizing separate OAuth applications, dedicated board IDs, and implementing enterprise-grade secret management (e.g., AWS Secrets Manager, Vault). This setup prevents development activities from accidentally impacting critical production data.

Provides comprehensive observability for Miro REST API v2 integrations. It captures critical metrics using Prometheus (request rates, latency, error tracking) and OpenTelemetry traces for end-to-end request flow visibility. Includes structured logging for detailed debugging and robust rate limit management, ensuring your applications are highly reliable and maintainable.

This guide provides advanced best practices for optimizing interactions with the Miro REST API v2. It covers essential patterns like cursor-based pagination to prevent over-fetching, implementing robust caching strategies (In-Memory/Redis) for reduced latency, and managing connections and concurrency for reliable bulk operations. It is designed for building scalable, high-throughput, and efficient integrations into Miro.

A comprehensive checklist for deploying Miro REST API v2 integrations into a production environment. This guide covers critical best practices including OAuth scope minimization, robust error handling, rate limit management, implementing circuit breakers, health checking, and defining clear rollback procedures. Use this when moving any Miro-integrated application to a live, customer-facing state.

A comprehensive, production-ready reference architecture for integrating with the Miro REST API v2. It implements modern layered design principles, managing OAuth 2.0 token lifecycles, processing webhooks, and providing robust services for board synchronization, item creation, and data caching. Ideal for building complex, scalable enterprise SaaS integrations.

A comprehensive guide providing production-ready, structured patterns for interacting with the Miro API. It covers best practices for both the high-level stateful client usage and the low-level REST API v2. Includes patterns for implementing robust Board Services (fetching, pagination) and Item Factories (creating various elements like sticky notes, shapes, and cards). Essential for developers building SaaS applications or complex automation workflows using Miro.

A comprehensive guide for developers implementing secure integrations with the Miro REST API v2. This guide covers critical security best practices, including OAuth 2.0 scope minimization, robust token lifecycle management (refreshing tokens), verifying webhooks using signatures, and implementing client secret rotation protocols. Essential for building reliable and secure SaaS applications connected to Miro.

This comprehensive guide assists developers migrating their Miro integrations from REST API v1 to v2. It details key breaking changes, such as 'Widget' becoming 'Item' and 'Line' becoming 'Connector,' provides updated endpoint maps, and offers step-by-step instructions for upgrading the `@mirohq/miro-api` SDK and adapting request/response payloads. Use this resource when updating your integration to handle the latest Miro platform standards and data structures.

This guide provides a quick reference for the most common SalesLoft REST API v2 errors, including 401 (Unauthorized), 403 (Forbidden), 422 (Validation), 429 (Rate Limit), and 5xx (Server Errors). It details the causes, specific fixes, and best practices, helping developers quickly diagnose and resolve integration issues to ensure seamless data exchange within the SalesLoft platform.

This guide provides a comprehensive walkthrough for setting up secure API access to the SalesLoft REST API v2. It covers multiple authentication methods, including OAuth 2.0 flows (Authorization Code and Client Credentials) and API Key usage. Use this when integrating SalesLoft features into external applications, scripts, or automated workflows.

This guide provides advanced techniques to optimize interactions with the SalesLoft REST API v2. Key strategies include implementing LRU caching for frequently accessed data, utilizing incremental sync with `updated_at` filtering to avoid costly deep pagination, configuring connection pooling for stability, and running parallel reads safely. Use this when experiencing high latency, managing large datasets, or minimizing API usage costs for bulk operations.

Provides production-ready, robust patterns for interacting with the SalesLoft REST API v2. This pattern solves common integration challenges by offering a type-safe client singleton, automatic iteration over paginated results, and intelligent handling of rate-limiting errors (429). Ideal for building scalable, reliable SalesLoft integrations using TypeScript or Python.