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AgentDB Learning Plugins

Create, train, and deploy reinforcement learning plugins for AgentDB in Node.js/TypeScript.

75|17|Updated Jan 11, 2026
Search Tags:#Node.js#TypeScript#training#AgentDB#plugin-development#machine-learning#reinforcement-learning
One-click install
npx skills add https://github.com/smith-horn/skillsmith --skill agentdb-learning-plugins-smith-horn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: AgentDB Learning Plugins
Source: https://github.com/smith-horn/skillsmith/tree/main/.claude/skills/agentdb-learning
Command: npx skills add https://github.com/smith-horn/skillsmith --skill agentdb-learning-plugins-smith-horn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables developers to quickly create, train, and deploy reinforcement learning plugins for autonomous agents using AgentDB's plugin system.

Core Features & Use Cases

  • Nine RL algorithms available, including offline and online methods.
  • CLI-based plugin creation, listing, and plugin-info.
  • Type-safe API access for training and reasoning integration.

Quick Start

Install prerequisites and start building your first plugin.

  • Create a learning plugin: npx agentdb@latest create-plugin -t decision-transformer -n dt-agent
  • List available templates: npx agentdb@latest list-templates
  • Get plugin info: npx agentdb@latest plugin-info my-plugin

Frequently Asked Questions about AgentDB Learning Plugins

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

FAQPage Schema
How do I build reinforcement learning plugins for autonomous agents in Node.js?▼

You can build reinforcement learning plugins by using a CLI to generate templates, then accessing the type-safe API to train and reason with nine available offline and online RL algorithms within your Node.js environment.

What reinforcement learning algorithms can I use for plugin development in TypeScript?▼

Plugin development supports nine reinforcement learning algorithms, including both offline and online training methods, which can be configured via CLI templates and integrated using a type-safe TypeScript API.

Do I need a specific version of AgentDB to create and train learning plugins?▼

Yes, creating and training learning plugins requires AgentDB v1.0.7 or higher via the agentic-flow system, along with Node.js 18+ and a basic understanding of reinforcement learning.

How do I list available RL plugin templates and get plugin info from the CLI?▼

You can list available templates by running the list-templates command, and retrieve details for a specific plugin by executing the plugin-info command followed by your plugin's name in the CLI.

Can I integrate offline RL training methods into autonomous agent systems?▼

Yes, you can integrate offline RL training methods into autonomous agent systems by selecting an offline algorithm template during plugin creation and utilizing the provided type-safe API for training and reasoning.

What's the best way to deploy trained RL plugins for autonomous agents?▼

The best way to deploy trained RL plugins is to use the CLI to create and train the plugin with your chosen algorithm, then integrate the trained model into your autonomous agent workflows via the type-safe API.

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