Skill UI

Provides comprehensive guidelines for securing CoreWeave cloud deployments on Kubernetes. Covers critical security areas including credential management, implementing Role-Based Access Control (RBAC), enforcing network isolation policies, and handling sensitive secrets for ML model access. Essential for hardening GPU workloads and protecting data in cloud environments.

This skill provides comprehensive guidance for building and managing applications using Amazon Aurora DSQL, a serverless, distributed, PostgreSQL-compatible SQL database. Topics cover schema management, multi-tenant isolation, IAM authentication, complex DDL migrations (column, constraint), MySQL data type mapping, and advanced query performance tuning using plan explainability tools, ensuring robust and scalable data architecture.

This comprehensive guide details the setup and deployment workflow for Glean enterprise search across development, staging, and production environments. It emphasizes strict environment isolation by managing separate datasources, API tokens, and configurations for each stage. The skill covers best practices for promotion workflows, validation steps, and error handling, ensuring search relevance and data integrity during scaling and updates.

A comprehensive guide to setting up a robust and efficient local development environment for Intercom integrations. This workflow emphasizes test isolation, utilizing mock clients (e.g., vitest) for reliable unit testing, proper environment variable management, and simulating real-world interactions via webhook tunneling (ngrok). It ensures fast iteration cycles when developing SaaS features against the Intercom API.

A comprehensive guide for setting up Intercom across development, staging, and production environments. This method ensures proper environment isolation, manages environment-specific access tokens and webhooks, and implements safety guards to prevent accidental data modification in critical workspaces. Essential for secure CI/CD deployments of SaaS applications.

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 reference architecture details the design of a multi-tenant integration layer for the MindTickle sales enablement platform. It strictly enforces tenant data isolation across all components (database, cache, queue) to ensure that organizational data remains separate. The system manages user synchronization (via SCIM 2.0), tracks course progress, records quiz results, and aggregates team readiness reports, making it ideal for complex SaaS enterprise deployments.

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.

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.

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.

Designed to handle API integrations for services like Navan that lack a dedicated sandbox environment. This skill implements robust environment isolation (Development, Staging, Production) using separate OAuth credentials, advanced environment variable management, and a local development proxy/mock server. It ensures that development, testing, and CI/CD processes can run safely without modifying live production data.

This guide details how to securely configure Notion integrations for separate development, staging, and production environments. It emphasizes using environment-aware client factories, dedicated tokens, and integrating with robust secret managers (AWS Secrets Manager, GCP Secret Manager, HashiCorp Vault) to ensure strict data isolation and adhere to least-privilege principles across all deployment tiers.