Skill UI

This guide details the complete deployment process for a containerized MindTickle integration service. The service manages sales readiness courses, tracks learner progress across quizzes and certifications, and reliably synchronizes enablement data using the MindTickle API. It covers advanced topics including multi-stage Docker builds, robust health checks, rolling updates, and comprehensive error handling procedures for professional deployment.

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 tool collects comprehensive diagnostic evidence for troubleshooting Miro REST API v2 integration problems. It gathers environment details, performs connectivity tests (DNS, HTTPS), checks rate limits, and aggregates recent application logs into a single, structured bundle. Use this when preparing a detailed support ticket or diagnosing persistent API issues.

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.

This advanced skill audits legal contracts against comprehensive, industry-standard checklists. It identifies critical gaps, including missing universal protections (e.g., limitation of liability, governing law) and type-specific clauses (e.g., NDA, SaaS). The tool rates the urgency of each omission and provides ready-to-insert, compliant clause language, helping users mitigate legal risks before signing.

This skill automates the validation of Navan API integrations within CI/CD pipelines. It generates robust GitHub Actions workflows to perform comprehensive tests, including token health checks, booking data schema validation, and automated compliance report generation. By integrating these checks into your push/pull request process, it ensures the stability and adherence of your Navan connection without requiring a dedicated SDK.

A structured playbook for diagnosing and resolving critical disruptions within the Navan travel platform. It guides users through severity classification (P1-P4), utilizing built-in AI assistants (Ava), and performing essential API health checks using tools like curl and jq. This runbook ensures a systematic approach to handling failures related to bookings, OAuth tokens, and expense syncing, minimizing downtime and providing clear escalation paths.

This comprehensive playbook provides an end-to-end guide for migrating from legacy Travel Management Systems (like SAP Concur or other TMCs) to Navan. It covers critical phases including data inventory, user provisioning (via SCIM/API), manual policy recreation, parallel system running, and the final cutover checklist. Use this guide for planning and executing complex travel system migrations.

A comprehensive checklist for validating the operational readiness of any Navan API integration before deployment to a live production environment. This guide covers critical areas including credential security (rotation, secret management), robust error handling, rate limit strategies, Single Sign-On (SSO) setup, data synchronization, and compliance auditing (PCI DSS, GDPR). Use this when ensuring mission-critical API stability.

A remote MCP server designed for AI agents to dynamically discover, inspect, and verify external tools, APIs, and services. It allows agents to search a curated index of AI-ready websites, check for machine-readable endpoints (like OpenAPI or MCP), and confirm if an endpoint responds correctly to JSON-RPC, enabling robust, dynamic agent workflow building.

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.

A comprehensive runbook for rapidly responding to Notion API incidents. It provides structured triage flows, automated health checks, and a decision tree to classify failures (Notion-side vs. integration-side). Use it for immediate diagnosis of outages, error mitigation (e.g., rate limits, token expiry), and post-incident reviews.