Best reinforcement learning skills for Claude Code, Codex and other agents.

Trains or fine-tunes language and vision models with TRL or Unsloth on Hugging Face Jobs cloud GPUs, then converts the results to GGUF.

huggingface/skills

Fix a GitHub issue on OpenPipe/ART and open a PR. An agent skill from OpenPipe/ART.

OpenPipe/ART

RL training reference for the ART framework. An agent skill from OpenPipe/ART.

OpenPipe/ART

Prepare, validate, launch-plan, monitor, resume, and stop configurable Qwopus 27B reinforcement-learning workflows for GRPO or GSPO.

R6410418/Jackrong-llm-finetuning-guide

Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training.

Orchestra-Research/AI-Research-SKILLs

A skill your agent uses when the user wants to optimize configurable system parameters against a measurable scalar objective, especially for model training, inference, quantitative strategies…

Optim-Agent/optim-agent

Builds a Verifiers (PrimeIntellect) variant of an RL environment.

adithya-s-k/FineEnvs

Integrate a benchmark or custom environment into SAfactory using fixed adapter templates and local contract tests, optionally run Docker/RJob evaluation, or prepare GRPO/RL training.

AI45Lab/SAfactory

Router for adding a diffusion or omni pipeline to verl-omni.

verl-project/verl-omni

Guide for adding a new reward scorer to verl-omni and wiring it into a run.

verl-project/verl-omni

Train or fine-tune language models with TRL or Unsloth on Hugging Face Jobs, including SFT, DPO, GRPO, reward models, and GGUF conversion.

waybarrios/opencode-power-pack

Builds a NeMo Gym (NVIDIA) variant of an RL environment. An agent skill from adithya-s-k/FineEnvs.

adithya-s-k/FineEnvs

Run, configure, retry, and validate AReno SFT, DPO, GSPO, GRPO, PPO, and agentic training.

inclusionAI/AReno

Walks through aligning language models with SimPO, a reference-free preference optimization method, using accelerate configs for Mistral 7B, Llama 3 8B and math-focused models.

Orchestra-Research/AI-Research-SKILLs

Guides reinforcement-learning post-training of LLMs with slime, which pairs Megatron-LM training with SGLang rollouts, including GRPO runs on GLM, Qwen3 and Llama 3 models.

Orchestra-Research/AI-Research-SKILLs

Builds an OpenEnv (Hugging Face) variant of an RL environment.

adithya-s-k/FineEnvs

Builds an Open Reward Standard (ORS) variant of an RL environment using the official openreward Python package.

adithya-s-k/FineEnvs

Add or modify an AReno algorithm, trainer, loss, advantage calculation, role model, or algorithm-specific configuration.

inclusionAI/AReno

Provides guidance for enterprise-grade RL training using miles, a production-ready fork of slime.

Orchestra-Research/AI-Research-SKILLs

High-performance RLHF framework with Ray+vLLM acceleration. An agent skill from Orchestra-Research/AI-Research-SKILLs.

Orchestra-Research/AI-Research-SKILLs

Guides reinforcement-learning research with torchforge, Meta's PyTorch-native library that keeps RL algorithms apart from infrastructure, including GRPO math-reasoning runs.

Orchestra-Research/AI-Research-SKILLs

Trains LLMs with reinforcement learning using verl, from ByteDance's Seed team, with GRPO, PPO and other algorithms and swappable training and rollout backends.

Orchestra-Research/AI-Research-SKILLs

This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems…

davila7/claude-code-templates

A skill your agent uses for reinforcement learning tasks including training RL agents (PPO, SAC, DQN, TD3, DDPG, A2C, etc.), creating custom Gym environments, implementing callbacks for monitoring…

davila7/claude-code-templates

Turns a user's plain-English description of an RL training environment into runnable code across the four target frameworks — OpenEnv, OpenReward (ORS), Verifiers, and NeMo Gym.

adithya-s-k/FineEnvs

Explains how to train a model to be harmless with self-critique, revision and AI-generated preference feedback, with Hugging Face and TRL code for each stage.

Orchestra-Research/AI-Research-SKILLs

Guides GRPO reinforcement-learning fine-tuning of language models with TRL, centered on designing reward functions for formats, verifiable tasks and reasoning.

Orchestra-Research/AI-Research-SKILLs

Bring up the Lego-RL training dashboard (webui/) on whatever machine you are on, adapting to that box's layout instead of assuming this repo's paths.

LegoX/Lego-RL

Reference for post-training language models with TRL: which trainer and dataset format to use for SFT, DPO, GRPO, KTO and reward models, and how to add LoRA.

huggingface/skills

Configure article metadata via MDX frontmatter. An agent skill from adithya-s-k/FineEnvs.

adithya-s-k/FineEnvs

Create self-contained D3 HTML embed charts for the research article template.

adithya-s-k/FineEnvs

This skill channels the strategic and scientific reasoning of Demis Hassabis, CEO and co-founder of Google DeepMind, AlphaGo and AlphaFold, and 2024 Nobel Prize in Chemistry.

K-Dense-AI/mimeo

Deploy the article to a Hugging Face Space. An agent skill from adithya-s-k/FineEnvs.

adithya-s-k/FineEnvs

Build RL reward signals using the OpenJudge framework. An agent skill from agentscope-ai/OpenJudge.

agentscope-ai/OpenJudge

Build, run, debug, and operate applications on AWS Lambda MicroVMs — Firecracker-isolated, snapshot-resumable serverless compute environments that run inside a container with up to 8-hour lifetimes.

awslabs/agent-plugins

Guide for using SLIME (LLM post-training framework for RL Scaling).

yzlnew/infra-skills

Version-aware guidance for PufferLib reinforcement-learning environments, vectorization, policies, PuffeRL training, evaluation, and safe checkpoint review.

K-Dense-AI/scientific-agent-skills

Trains and evaluates single-agent reinforcement learning with Stable Baselines3 (PPO, SAC, DQN, TD3, DDPG, A2C), Gymnasium custom environments, vectorized rollouts, callbacks, and checkpoint…

K-Dense-AI/scientific-agent-skills

Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning).

waybarrios/opencode-power-pack

Best practices for reinforcement learning policy optimization.

aiming-lab/AutoResearchClaw

Build, test, and debug Hermes Agent RL environments for Atropos training.

Tommy-yw/RunbookHermes

AI-powered LinkedIn content suite: generate posts, carousels, newsletters, and 30-day calendars with niche-specific SEO rules and a reinforcement-learning personal memory system.

sickn33/agentic-awesome-skills

Applies the reasoning style of Ilya Sutskever (deep learning pioneer, co-founder of OpenAI and Safe Superintelligence Inc.) to problems involving AI architecture, scaling laws, alignment, and…

K-Dense-AI/mimeo

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms.

aiskillstore/marketplace

Reinforcement learning for trade execution optimization including order splitting, adaptive timing, and impact minimization

agiprolabs/claude-trading-skills

Knowledge base from "Spinning Up in Deep RL" by Joshua Achiam (OpenAI, MIT-licensed).

alirezarezvani/claude-skills

Fine-tune LLMs using the Tinker API. An agent skill from sundial-org/skills.

sundial-org/skills

Applies the reasoning, principles, and frameworks of Jürgen Schmidhuber (LSTM co-inventor and deep learning pioneer).

K-Dense-AI/mimeo