rnow-config
OfficialConfigure ReinforceNow training pipelines quickly
Software Engineering#training#configure#reinforcement-learning#rnow#config.yml#train.jsonl#dataset-conversion
AuthorReinforceNow
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps teams configure ReinforceNow RL, SFT, and Distillation training pipelines by providing clear config.yml and train.jsonl guidance, along with dataset conversion support.
Core Features & Use Cases
- Guided project structure: Show where config.yml, train.jsonl, rewards.py, and tools.py live and how to organize files.
- Config templates: Provide minimal RL, SFT, and Distillation YAML examples to accelerate setup.
- Dataset conversion: Walkthrough converting HuggingFace datasets to the train.jsonl format used by ReinforceNow.
- Validation & examples: Notes on common validation rules, run routes, and testing steps.
Quick Start
Install ReinforceNow tooling, initialize a project with rnow init, and follow the minimal config.yml and train.jsonl examples to start a training run.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: rnow-config Download link: https://github.com/ReinforceNow/reinforcenow-cli/archive/main.zip#rnow-config Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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