setup▌

Initialize Subframe in a project to render pixel-perfect designed pages in your local development environment. \n \n Detects project type (new, existing non-Subframe, or already setup) and follows the appropriate setup path with CLI scaffolding or integration \n Configures Tailwind CSS (v3 or v4), import aliases, and syncs all Subframe components to a designated directory \n Requires manual font configuration via Google Fonts links based on your project's theme \n Supports Vite, Next.js, and Ast

Configure persistent memory search for Moltbot/Clawdbot agents to retain context across sessions. \n \n Add memorySearch config block with provider (Voyage, OpenAI, or local), sources (memory files and/or sessions), and relevance thresholds \n Create a workspace structure with MEMORY.md for curated long-term facts and memory/logs/ for daily timestamped logs \n Supports three embedding providers; Voyage recommended but local option available without API keys \n Includes troubleshooting for common

Prerequisite setup for Firebase agent integration: Node.js, CLI authentication, and MCP server installation. \n \n Verifies Node.js v20+ installation and guides setup via nvm or official installers for macOS, Linux, and Windows \n Confirms Firebase CLI availability through npx firebase-tools and authenticates via firebase login with remote environment support \n Directs agent-specific MCP server and skill installation for Gemini CLI, Antigravity, Claude Code, Cursor, GitHub Copilot, and other pl

Install and configure Sentry in React Native projects using the official wizard CLI.

nemoclaw-setup

Configure database replication for disaster recovery, load distribution, and high availability. Covers master-slave, multi-master replication, and monitoring strategies.

This skill documents the bare minimum setup required for a full Firebase experience for the agent. Before starting to use any Firebase features, you MUST verify that each of the following steps has been completed.

Deploy and configure load balancers to distribute traffic across multiple backend servers, ensuring high availability, fault tolerance, and optimal resource utilization across your infrastructure.

This guide helps you configure AWS MCP tools for AI agents. Two options are available:

Configure Git hooks to enforce code quality standards, run automated checks, and prevent problematic commits from being pushed to shared repositories.