Skill UI

This tool provides a robust local development workflow (dev loop) for integrating with the MindTickle sales enablement and readiness API. It simulates critical data points—such as training modules, user progress, and coaching data—using mock services. This allows developers to build and test complex sales readiness dashboards and features rapidly and reliably, by toggling between a mock mode for fast iteration and a sandbox mode for real-world validation against the MindTickle platform.

A comprehensive technical checklist designed to ensure the robust, secure, and highly available operation of the MindTickle production integration. It covers critical areas including multi-tenant isolation, SCIM provisioning resilience, rate limit handling, and advanced error management to prevent data leaks or service disruptions.

This guide provides a comprehensive overview of the rate limits imposed by the MindTickle API across various endpoints, such as user management, content upload, and quiz result exports. It details specific limits for different operations and provides robust engineering solutions using TypeScript. Key implementation strategies include implementing a token-bucket rate limiter, developing a retry mechanism with exponential backoff, and optimizing bulk data processing through batching to ensure stable and efficient application integration.

This guide provides a comprehensive setup for configuring CI/CD pipelines for Miro REST API v2 integrations. It uses GitHub Actions to automate unit and integration testing, validate API connectivity, and implement crucial cleanup steps to ensure test isolation and reliable results.

A comprehensive technical guide for diagnosing and resolving common Miro REST API v2 errors. It details specific HTTP status codes (400, 401, 403, 404, 429, etc.), providing common causes, actionable fixes, and best practices for token refreshing, scope management, and achieving stable API integration.

A comprehensive skill for managing sensitive data within Miro boards. It covers detecting Personally Identifiable Information (PII) like emails, phone numbers, and credit cards, ensuring compliance with regulations such as GDPR and CCPA. Functionality includes robust data export for Data Subject Access Requests (DSAR), implementing data retention policies, and automatically redacting PII in logs to maintain maximum data security.

Configure comprehensive, enterprise-grade access control for Miro via REST API v2. This module manages organization structure, team membership, and granular board permissions (RBAC). It supports advanced features like automated user provisioning using SCIM 2.0 and SSO integration, making it essential for implementing secure, scalable collaboration platforms in large corporate environments.

A comprehensive guide for developers on installing and configuring the official @mirohq/miro-api Node.js client. This skill provides step-by-step instructions for setting up the full OAuth 2.0 authorization code flow, managing client credentials, and implementing token refresh patterns to ensure secure and reliable access to the Miro REST API v2. Use this when building automated applications or integrating Miro features into a custom backend service.

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.

This skill implements a comprehensive solution for managing Miro REST API rate limits. It incorporates a credit-based monitoring system, exponential backoff with jitter, and request queuing. This ensures reliable, high-throughput data integration by respecting Miro's usage quotas and handling API throttling (429 errors) gracefully.

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.