Best fine-tuning skills for Claude Code, Codex and other agents.

Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods.

Orchestra-Research/AI-Research-SKILLs

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

Routes a sentence-transformers training task to the right model type and required reference docs and example scripts, covering bi-encoders, rerankers, sparse and multi-vector models.

huggingface/skills

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

OpenPipe/ART

Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR).

awslabs/agent-plugins

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

Guides LLM fine-tuning with LoRA and QLoRA through Hugging Face PEFT, from dataset validation and training checks to adapter merging, quantization and deployment.

Jeffallan/claude-skills

Generates code that transforms datasets between ML schemas for model training or evaluation.

awslabs/agent-plugins

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

OpenPipe/ART

Check Kiln's fine-tunable model list for deprecated or unsupported base models.

Kiln-AI/Kiln

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

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

Trigger this skill when the user wants to train, fine-tune, or adapt Gemma models (e.g.

google-gemma/gemma-skills

Selects a fine-tuning technique (SFT, DPO, RLVR, or RLAIF) for the user's use case and validates it against the selected model's available recipes.

awslabs/agent-plugins

Trains and evaluates several WiFi-signal-based pose and sensing models, from unsupervised pose estimation to domain adaptation and publishing.

ruvnet/RuView

This skill should be used when picking or diagnosing a training move (SFT, LoRA, DPO/KTO/ORPO, RFT, GRPO/PPO/RLOO, RLHF), or when the user mentions fine-tuning, post-training, training recipe…

evo-hq/evo

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

verl-project/verl-omni

Generate images with FLUX models (Black Forest Labs) via inference.sh CLI.

danielmeppiel/agentic-sdlc-handbook

Add a cross-cutting decision pattern under src/nemotron/steps/patterns/.

NVIDIA-NeMo/Nemotron

Trains and fine-tunes object detection, image classification and SAM or SAM2 segmentation models on Hugging Face Jobs cloud GPUs and saves the results to the Hub.

huggingface/skills

Runs and configures the anomalib tiled-ensemble pipeline, which trains/evaluates one model per image tile and merges results (with optional seam smoothing) for high-resolution anomaly detection.

open-edge-platform/anomalib

Connect this agent to a running Guaardvark (self-hosted AI studio) and check what it can do right now.

guaardvark/guaardvark

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

verl-project/verl-omni

Guides building on the 0G Compute Network, a decentralized GPU marketplace for AI inference and fine-tuning, with SDK patterns and CLI commands.

internet-court/internet-court-skill

Toolbox for markerless animal pose estimation with DeepLabCut.

NeuroAIHub/BrainPilot

Add a new step under src/nemotron/steps/<category/<stepid/ — manifest (step.toml), runner glue, configs, and per-step README.md.

NVIDIA-NeMo/Nemotron

MLX Swift LM - Run LLMs and VLMs on Apple Silicon using MLX.

kellyvv/PhoneClaw

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

Selectively monitor important long-running or resource-intensive commands with Haoleme by prefixing them with hao, so status, output, and completion notifications sync to the mobile app.

HaolemeApp/Haoleme

A standardized CLI wrapper for Uni-Mol molecular ML workflows that handles representation extraction (embeddings), model training (regression/classification), and property prediction with built-in…

jinzhezenggroup/computational-chemistry-agent-skills

Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization

Orchestra-Research/AI-Research-SKILLs

Lilly community-research skill. An agent skill from ssaaffaakk/Lilly.

ssaaffaakk/Lilly

Audit imaging acquisition, reconstruction, series eligibility, quantitative transforms and protocol drift; not model training.

huang-sir1/radiology-skills

Train custom LoRAs with ostris AI-Toolkit. An agent skill from artokun/comfyui-mcp.

artokun/comfyui-mcp

Quick-reference help for fine-tuning language models with Axolotl, covering YAML configs, FSDP, context parallelism, compressed saves and dataset formats.

Orchestra-Research/AI-Research-SKILLs

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

inclusionAI/AReno

A skill your agent uses whenever the user asks to generate, collect, inspect, or prepare early-experience training data (Implicit World Modeling or Self-Reflection, in the sense of arXiv:2510.08558)…

OSU-NLP-Group/EarlyExperience

A skill your agent uses when designing, implementing, reviewing, or debugging supervised fine-tuning with TRL SFTTrainer or trl sft, especially for agentic models trained on chat messages…

burtenshaw/training-agents

Configure and launch SparkDiffusion sparse finetuning for Wan 2.1 or Wan 2.2.

AlibabaResearch/SparkDiffusion

Train object-detection, image-classification, or SAM segmentation models on Hugging Face Jobs.

waybarrios/opencode-power-pack

Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end.

microsoft/GitHub-Copilot-for-Azure

Set up the NVIDIA "Build an Agent" DevX workshop as a working JupyterLab environment from INSIDE a locked-down OpenShell/NemoClaw sandbox, and hand the user the token URL + access commands.

brevdev/workshop-build-an-agent

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

Fine-tune or transfer-learn AlphaGenome-PyTorch on custom genomic data — pick a mode (linear probe, LoRA, Locon, full), train on BigWig tracks with agt finetune, use adapters, delta checkpoints…

genomicsxai/alphagenome-pytorch

Complete CLI reference for the ADS AQUA command-line interface (ads aqua).

oracle/accelerated-data-science