Skillzwave

pufferlib

13,835 stars 1,200 forks Updated Dec 26, 2025
67.8

This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL environments (Gymnasium, PettingZoo, Atari, Procgen, etc.). Use this skill for implementing PPO training, creating PufferEnv environments, optimizing RL performance, or developing policies with CNNs/LSTMs.

Commands Marketplace
#training#environment#Action#observation#vectorization
Also in: github

Third-Party Skill: Review the code before installing. Skills execute in your AI assistant's environment and can access your files. Learn more about security

skilz install davila7_claude-code-templates/pufferlib
skilz install davila7_claude-code-templates/pufferlib --agent opencode
skilz install davila7_claude-code-templates/pufferlib --agent codex
skilz install davila7_claude-code-templates/pufferlib --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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Download Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/davila7/claude-code-templates
2. Copy the skill directory:
cp -r claude-code-templates/cli-tool/components/skills/scientific/pufferlib ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Details

Owner
davila7
Stars
13,835
Forks
1,200
Type
Technical
Meta-Domain
data ai
Primary Domain
machine learning
Sub-Domain
learning models model
Skill Size
97.2 KB
Files
8
Quality Score
67.8

AI-Detected Topics

Extracted using NLP analysis

training environment Action observation vectorization

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