AgentDB Learning Plugins

Create and manage reinforcement learning plugins via the AgentDB CLI.

1|Updated Nov 24, 2025
One-click install
npx skills add https://github.com/Human-Frontier-Labs-Inc/parencylegal --skill agentdb-learning-plugins-human-frontier-labs-inc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: AgentDB Learning Plugins
Source: https://github.com/Human-Frontier-Labs-Inc/parencylegal/tree/main/corn-docs/.claude/skills/agentdb-learning
Command: npx skills add https://github.com/Human-Frontier-Labs-Inc/parencylegal --skill agentdb-learning-plugins-human-frontier-labs-inc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AgentDB Learning Plugins simplifies building, training, and deploying self-learning agents by exposing nine reinforcement learning algorithms through a plug-in system. This enables teams to rapidly prototype autonomous agents that improve from experience.

Core Features & Use Cases

  • Access to nine reinforcement learning algorithms (Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more) via plugin templates.
  • CLI-based plugin creation, management, and deployment to accelerate development cycles.
  • Use cases include offline imitation learning, policy optimization, exploration strategies, and multi-template experimentation.

Quick Start

Create learning plugins and manage plugins using the AgentDB CLI:

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

Frequently Asked Questions about AgentDB Learning Plugins

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

FAQPage Schema
How do I create reinforcement learning plugins from the command line?

You can create reinforcement learning plugins using the command line with `npx agentdb@latest create-plugin`, specifying a template like decision-transformer and naming your agent to generate a scaffold for rapid deployment.

What reinforcement learning algorithms are available as plugin templates?

Nine reinforcement learning algorithms are available as plugin templates, including Decision Transformer, Q-Learning, SARSA, and Actor-Critic, enabling rapid prototyping of autonomous agents that learn from experience.

Do I need a specific Node.js version to use AgentDB learning plugins?

Yes, you need Node.js 18 or higher and AgentDB v1.0.7 or later via agentic-flow to create, train, and deploy reinforcement learning plugins through the command-line interface.

Can I use these plugins for offline imitation learning and policy optimization?

Yes, the templates support offline imitation learning, policy optimization, exploration strategies, and multi-template experimentation for building self-learning agents that improve from experience.

How do I list installed reinforcement learning templates and plugins?

You can list installed plugins using `npx agentdb@latest list-plugins` and view available templates with `npx agentdb@latest list-templates` to manage your command-line training environments.