pufferlib
Provides tools for high-performance RL training with PPO, vectorized environment simulation, and custom environment development. Includes CLI commands, Python code examples for training loops, environment templates, and performance optimization techniques.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install microck-ordinary-claude-skills-pufferlib
Repository
Skill path: skills_all/claude-scientific-skills/scientific-skills/pufferlib
Provides tools for high-performance RL training with PPO, vectorized environment simulation, and custom environment development. Includes CLI commands, Python code examples for training loops, environment templates, and performance optimization techniques.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Microck.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install pufferlib into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Microck/ordinary-claude-skills before adding pufferlib to shared team environments
- Use pufferlib for ai/ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.