ai-agent

SkyRL: Modular RL for Founders

Get full-stack reinforcement learning with SkyRL, a modular library for startup founders
2,115 stars395 forksPythonGuide quality 8/10Updated 8/3/2026100% free · open source
What it does

SkyRL allows startup founders to build and deploy full-stack reinforcement learning models with ease, using a modular library designed for large language models

When to use it
  • You need to train an AI agent to interact with a complex environment
  • You want to integrate reinforcement learning with your existing large language model
  • You need a modular and flexible library to build custom RL models
Ready-to-paste prompt
python examples/cartpole.py --policy dqn --episodes 100 --render
Heads up: Make sure you have the `gym` library installed, as it is required by SkyRL for environment simulations, you can install it by running `pip install gym`
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/skyrl && curl -fsSL https://workflowstacks.com/api/skills/skyrl/claude-skill -o ~/.claude/skills/skyrl/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions
Details
Creator
NovaSky-AI
Language
Python
Category
ai-agent
Published
4/22/2025

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