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  "text": "Introducing RL Environment Creator Skill\nNow any one can create RL environments \n\n$ npx skills add adithya-s-k/RL_Envs_101\n\n> You can create environments across multiple frameworks like OpenEnv, OpenReward, Verifiers, NemoGym ...\n> the repo has live working examples of environments that your coding agent can reference\n> The skill is design to first understand what type of model you are training and create an environment while keeping that in mind\n\nps. There’s a lot more to building RL environments that can be used for training. One major aspect is the data, which this skill can’t directly solve. However, the skill will help with implementing tools, rewards, and other components of an RL environment, making it easier to go from idea to implementation quickly across different frameworks.\n\nLet me know if you’d be interested in a detailed, end-to-end blog/tutorial on building an environment and actually training a model for a useful use case.",
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