Skill UI

A tool designed for persistent context management within AI coding sessions. Memory Kit solves the problem of context loss that occurs during compaction or session restarts by saving, loading, updating, and sharing critical session state to a dedicated `MEMORY.md` file. Key functions include creating snapshots of goals and decisions, syncing context across team members via Git, and auditing/pruning stale entries, ensuring continuous workflow and knowledge retention.

A comprehensive CI pipeline solution for validating MindTickle sales enablement API integrations. This tool implements a two-tier testing strategy: unit tests use mocking to verify logic without API calls, while integration tests run against the live MindTickle API on main branch merges, securely requiring both an API Key and Company ID. It ensures robustness, manages API rate limits, and provides detailed error handling guidelines for developers.

This comprehensive guide is designed for developers and system administrators to diagnose and resolve common integration errors encountered when interacting with the MindTickle API. It covers critical areas such as authentication failures (401, 403), rate limiting, SCIM provisioning conflicts, and content access issues. The document provides explicit error codes, underlying causes, and actionable fixes, ensuring stable and seamless platform integration.

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 structured patterns for reliably interacting with the MindTickle REST API. It addresses complex enterprise challenges, such as org-aware authentication, handling nested progress data, and ensuring strict SCIM compliance. Key patterns include robust error wrappers (with rate limit retry logic), type-safe query builders for progress tracking, middleware for request scoping, and mock factories for testing sales readiness workflows.

A comprehensive guide detailing best practices for securing MindTickle integrations. It covers critical technical requirements including using `Company-Id` for multi-tenant isolation, implementing HMAC-SHA256 verification for webhooks, strict SCIM payload validation, and PII redaction. Essential for developers ensuring compliance with GDPR and SOC2 standards when handling sensitive employee and HR data.

A comprehensive guide and toolkit for developers managing MindTickle integrations. This resource details critical API schema changes, such as evolving course progress structures, supporting new quiz types, and updating SCIM/CRM provisioning models. It is essential for auditing, migrating, and ensuring the stability of data synchronization with external systems like Salesforce.

This skill provides comprehensive documentation and implementation guidance for setting up and handling MindTickle webhooks. It allows external applications to react in real-time to key user lifecycle events, such as course completion, quiz submissions, user provisioning, and progress updates. Use cases include syncing progress to HRIS/CRM (e.g., Salesforce), triggering automated alerts, or managing user access in downstream systems.

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.

This comprehensive workflow provides full Create, Read, Update, and Delete (CRUD) capabilities for managing Miro boards and all embedded items. Users can programmatically manage entire boards, sticky notes, shapes, cards, frames, and tags using the official REST API v2. Ideal for integrating Miro into automated workflows, automating retrospective reports, or building complex collaboration tools that require structured board content manipulation.