Skill UI

A comprehensive guide for safely upgrading PostHog SDKs (for JavaScript and Node.js). This resource details critical breaking changes across major versions, such as the explicit requirement for `sendFeatureFlags` in v5.x and the new structured autocapture API for PostHog.js. It provides a structured, step-by-step procedure covering version auditing, code modification, testing, staging validation, and rollback plan.

A comprehensive guide for configuring and managing organizational access control in Replit Enterprise. This skill covers defining role hierarchies (Owner, Admin, Manager, Editor, Viewer), implementing custom groups, integrating Single Sign-On (SSO/SAML), restricting deployment permissions (Production/Staging), and setting up detailed audit logging. Use this when securing a large development team, setting up strict security policies, or performing quarterly access reviews.

This comprehensive guide details how to configure robust multi-environment deployments (Development, Staging, Production) within the Replit ecosystem. It covers best practices for database separation, managing environment-specific secrets, implementing reliable environment detection logic, and setting up CI/CD pipelines to ensure applications are stable and secure across all deployment stages.

Provides a comprehensive guide and code examples for configuring Sentry across development, staging, and production environments. It ensures data isolation by using separate DSNs, allows tuning of sample rates (e.g., 10% for production, 100% for dev), and implements environment-specific logic for PII scrubbing and event filtering, optimizing visibility while maintaining data security.

This guide details how to configure the Speak language learning platform across multiple environments (dev, staging, production). It is essential for implementing robust SaaS deployments, ensuring that separate API keys, mock modes, and environment variables are correctly managed for seamless development and operational management.

This skill guides the setup of a robust, multi-environment architecture for Supabase, ensuring complete data isolation between development, staging, and production projects. It covers best practices for managing separate environment-specific secrets, safe database migration promotion (db push), environment-aware client initialization, and implementing safeguards to prevent accidental cross-environment operations in production. Essential for scaling SaaS applications.

Configure the TwinMind AI platform across development, staging, and production environments. This setup ensures secure separation of accounts and manages API keys for robust meeting AI operations, supporting enterprise features like on-premise deployment and SSO integration.

A comprehensive guide to managing training data and model artifacts securely on cloud GPU instances (e.g., Vast.ai). It covers best practices for data transfer (SCP, compressed, cloud staging), implementing AES-256 encryption, managing checkpoints to S3, and performing secure cleanup before instance destruction, ensuring compliance and data integrity.

This guide details how to implement environment isolation (dev, staging, prod) for GPU cloud deployments on Vast.ai. It uses environment variables and configuration classes to enforce separate API keys, budget caps, instance limits, and GPU whitelists for each deployment tier, ensuring efficient resource management and cost control.

A comprehensive guide to configuring Vercel across Development, Preview, and Production environments. Learn how to scope environment variables, manage secrets, and automate multi-stage deployments using both the Vercel CLI and REST API. Covers setting up custom environments (e.g., Staging) and implementing environment detection in code for reliable application behavior.

This guide outlines best practices for configuring IDEs and AI context management across complex, multi-service monorepos. It is essential for onboarding new teams, standardizing coding standards, and ensuring consistent development workflows for services across multiple deployment environments (Development, Staging, Production). Focuses on architectural rules, shared settings, and environment-specific deployment context.

Structured guidance for safely migrating Odoo between major releases, covering pre-upgrade checklists, tool selection (Odoo Upgrade Service vs OpenUpgrade), staging execution, and post-upgrade validation to minimize downtime and risks.