What it does. Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agent
AgentDB Learning Plugins
What This Skill Does
Provides access to 9 reinforcement learning algorithms via AgentDB's plugin system. Create, train, and deploy learning plugins for autonomous agents that improve through experience. Includes offline RL (Decision Transformer), value-based learning (Q-Learning), policy gradients (Actor-Critic), and advanced techniques.
Performance: Train models 10-100x faster with WASM-accelerated neural inference.
Prerequisites
- Node.js 18+
- AgentDB v1.0.7+ (via agentic-flow)
- Basic understanding of reinforcement learning (recommended)
Install
npx skills add ruvnet/RuView --skill agentdb-learning
Or copy the skill folder manually:
git clone https://github.com/ruvnet/RuView.git
cp -r RuView/.claude/skills/agentdb-learning/ ~/.claude/skills/agentdb-learning
Source: ruvnet/RuView — 99,120 stars, MIT, verified 2026-10-22.