deployment-helper

Deploy ElizaOS agents to production with Docker, monitoring, and scaling.

7|2|Updated Nov 9, 2025
One-click install
npx skills add https://github.com/Dexploarer/hyper-forge --skill deployment-helper-dexploarer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deployment-helper
Source: https://github.com/Dexploarer/hyper-forge/tree/main/.claude/skills/deployment-helper
Command: npx skills add https://github.com/Dexploarer/hyper-forge --skill deployment-helper-dexploarer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires prom-client, and includes scripts (resource) components.

What problem does it solve?

This Skill provides production deployment configurations for ElizaOS agents, including Docker, monitoring, and scaling strategies. It simplifies the process of moving AI agents from development to a robust, observable, and scalable production environment.

Core Features & Use Cases

  • Docker Deployment: Generates Dockerfile and docker-compose.yml for containerized deployments with databases and caching.
  • Monitoring Integration: Sets up Prometheus metrics collection for tracking agent performance and usage.
  • Production Checklist: Provides a comprehensive checklist for environment variables, health checks, logging, and security.
  • Use Case: To deploy your ElizaOS agent to production using Docker, use this skill to "deploy my ElizaOS agent." It will generate the necessary Docker files, configure monitoring, and guide you through a production readiness checklist.

Quick Start

Deploy my ElizaOS agent to production using Docker and set up basic monitoring.

Frequently Asked Questions about deployment-helper

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy an ElizaOS agent to production with Docker?

Deploy ElizaOS agents to production by generating a Dockerfile and docker-compose.yml configuration that includes containerization, PostgreSQL and Redis integration, health checks, and environment variable enforcement. This Skill automates the setup process and provides best-practice deployment patterns for Node/TypeScript environments.

What monitoring and observability does production ElizaOS deployment require?

Production ElizaOS deployments require Prometheus metrics collection, health endpoints, logging, error tracking, and observability integration. This Skill sets up monitoring infrastructure to track agent performance, usage patterns, and system health across single-agent, Docker-based, and multi-agent configurations.

Can I scale ElizaOS agents in production, and what's involved?

Scale ElizaOS agents through multi-agent deployment patterns with load balancing, database connection pooling, and Redis caching. This Skill provides scaling plans, rate limiting configuration, and rollback procedures to ensure reliable horizontal scaling in production environments.

What production readiness checklist should I complete before deploying an ElizaOS agent?

The production readiness checklist covers environment variables, database migrations, health endpoints, logging, TLS/HTTPS, secret management, backup strategies, rate limiting, error tracking, and rollback procedures. This Skill enforces these requirements to ensure secure, observable, and recoverable deployments.

Does this deployment approach work with multi-agent ElizaOS setups?

Yes, this Skill covers single-agent, Docker-based, and multi-agent deployment patterns all in Node/TypeScript environments with PostgreSQL and Redis integration, supporting scaling and monitoring across multiple agent instances.

What happens if a production deployment fails—how do I rollback?

This Skill includes rollback procedures as part of its production deployment framework, enabling you to safely revert failed deployments. It pairs with comprehensive monitoring and health checks to detect issues quickly and execute recovery strategies.