Agent skill · AI & Agents

AgentDB Learning Plugins

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 agents, implementing RL, or optimizing agent behavior through experience.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill agentdb-learning-aquariuscook-agent-modus-map --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 12 KB
Bundled scripts: none
Path: skills/ai-ml/agentdb-learning-aquariuscook-agent-modus-map/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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) --- ## Quick Start with CLI ### Create Learning Plugin ```bash # Interactive wizard npx agentdb@latest create-plugin # Use specific template npx agentdb@latest create-plugin -t decision-transformer -n my-agent # Preview without creating npx agentdb@latest create-plugin -t q-learning --dry-run # Custom output directory npx agentdb@latest create-plugin -t actor-critic -o ./plugins ``` ### List Available Templates ```bash # Show all plugin templates npx agentdb@latest list-templates # Available templates: # - decision-transformer (sequence modeling RL - recommended) # - q-learning (value-based learning) # - sar

What's inside
Steps it walks through
  1. What This Skill Does
  2. Prerequisites
  3. Quick Start with CLI
  4. Create Learning Plugin
  5. List Available Templates
  6. Manage Plugins
  7. Quick Start with API
  8. Available Learning Algorithms (9 Total)
  9. 1. Decision Transformer (Recommended)
  10. 2. Q-Learning
  11. 3. SARSA
  12. 4. Actor-Critic
  13. 5. Active Learning
  14. 6. Adversarial Training
Ships with 1 file
  • metadata.json
Commands it runs
Interactive wizard
npx agentdb@latest create-plugin
Use specific template
npx agentdb@latest create-plugin -t decision-transformer -n my-agent
Preview without creating
npx agentdb@latest create-plugin -t q-learning --dry-run
Custom output directory
npx agentdb@latest create-plugin -t actor-critic -o ./plugins
Show all plugin templates
npx agentdb@latest list-templates
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About this skill
What does the AgentDB Learning Plugins skill do?

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 agents, implementing RL, or optimizing agent behavior through experience.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill agentdb-learning-aquariuscook-agent-modus-map --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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