linket-atropos-environments
CommunityBuild and debug Linket Agent RL environments for Atropos training
Authorrobertbr123
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill unit helps you build, test, and debug reinforcement learning (RL) environments for the Linket Agent within the Atropos training framework.
Core Features & Use Cases
- Environment Creation: Develop RL environments that integrate with Atropos for training.
- Interface Compliance: Implements the HermesAgentBaseEnv interface for seamless integration.
- Task Handling: Manages reward functions, agent loop integration, and evaluation tools.
- Logging and Metrics: Provides wandb logging and CLI modes for serving, processing, and evaluating environments.
- Use Case: For data scientists and AI engineers who need to create and optimize RL environments for the Linket Agent within the Atropos ecosystem.
Quick Start
To build an RL environment for Atropos, run the 'linket-atropos-environments' skill and follow the guide for setting up the environment and executing the CLI commands.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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: linket-atropos-environments Download link: https://github.com/robertbr123/Linket-Agent/archive/main.zip#linket-atropos-environments Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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