torchforge-rl-training
Provides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms. Use when you want clean RL abstractions, easy algorithm experimentation, or scalable training with Monarch and TorchTitan.
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 orchestra-research-ai-research-skills-torchforge
Repository
Skill path: 06-post-training/torchforge
Provides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms. Use when you want clean RL abstractions, easy algorithm experimentation, or scalable training with Monarch and TorchTitan.
Open repositoryBest for
Primary workflow: Run DevOps.
Technical facets: Full Stack, DevOps.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Orchestra-Research.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install torchforge-rl-training into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Orchestra-Research/AI-Research-SKILLs before adding torchforge-rl-training to shared team environments
- Use torchforge-rl-training for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.