Best fine-tuning skills, page 3

Fine-tune LLM models using LoRA on OCI AI Quick Actions (AQUA).

oracle/accelerated-data-science

Use sub-agents as test subjects to iteratively improve .claude/ instruction files.

adam-s/intercept

Reference desk for NVIDIA Nemotron 3 Ultra (550B-A55B) — architecture, NVFP4 pretraining, SFT, MOPD (multi-teacher on-policy distillation), MTP boosting, quantization, inference.

NVIDIA-NeMo/Nemotron

Manages persistent research memory across ideation and experimentation cycles.

EvoScientist/EvoSkills

Add or tighten Draw Things LoRA trainer support for generative models available in the Draw Things app / CLI, covering LoRA builders, trainer dispatch, tokenizer and fixed-encoder wiring, checkpoint…

drawthingsai/draw-things-community

A skill your agent uses when designing, reviewing, or implementing OpenEnv-style environment interfaces for agentic RL with TRL, including reset/step/state contracts, tasksets, Docker or…

burtenshaw/training-agents

Research workflow for distilling ML/AI papers into modelless inference primitives, freeze/thaw runtime patterns, latent-space operations, AND model-based training plans across the multi-repo stack.

katopz/katgpt-rs

Audit supervised fine-tuning datasets against the behavior and task they are meant to teach.

tokenbender/agent-guides

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

agentscope-ai/OpenJudge

Build an end-to-end UAV object detection and telemetry overlay application on Intel hardware using DL Streamer Pipeline Server with MAVLink telemetry.

open-edge-platform/edge-ai-suites

Builds or modifies ComfyUI workflow JSON templates in MooshieUI's Rust backend (src-tauri/src/templates).

Mooshieblob1/MooshieUI

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

yzlnew/infra-skills

Oracle Enterprise AI guidance for building, deploying, securing, estimating cost for, and integrating AI models, agents, RAG, Responses API workflows, custom or imported models, fine-tuning, model…

oracle/skills

Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer

ruvnet/ruflo

Author ComfyUI-LoRA-Manager nodes from the panel. An agent skill from artokun/comfyui-mcp.

artokun/comfyui-mcp

Fine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders).

microsoft/GitHub-Copilot-for-Azure

Capture Claude Code interaction trajectories in training-friendly formats.

AlexAI-MCP/hermes-CCC

Agent-driven YOLO fine-tuning — annotate, train, export, deploy

SharpAI/DeepCamera

Generates code that fine-tunes a base model using SageMaker serverless training jobs.

awslabs/agent-plugins

Manage ComfyUI server, models, workflows, LoRAs, queues, dependencies and CLI workflow execution via comfyui-skill.

ShiroEirin/comfyui-good-anima

Applies Arbor Hypothesis Tree Refinement to research artifacts with repeatable evaluators, including model training, agent harnesses, data synthesis and benchmark optimization.

K-Dense-AI/scientific-agent-skills

Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs.

K-Dense-AI/scientific-agent-skills

Supports work with Outpost Bio's open microbiome foundation models - the Waypoint checkpoints (Waypoint-6m, Waypoint-45m, Waypoint-170m), the Atlas pretraining corpus, the Compass eight-task…

K-Dense-AI/scientific-agent-skills

Guidelines for creating high-quality datasets for LLM post-training (SFT/DPO/RLHF).

sundial-org/skills

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

waybarrios/opencode-power-pack

Extract arbitrary, custom entity types from clinical or biomedical text with no fine-tuning using OpenMed's GLiNER / GLiNER2 zero-shot support.

maziyarpanahi/openmed

LLM fine-tuning expert for LoRA, QLoRA, dataset preparation, and training optimization

RightNow-AI/openfang

Best practices for LLM alignment techniques including RLHF, DPO, and instruction tuning.

aiming-lab/AutoResearchClaw

Best practices for language model pretraining and fine-tuning.

aiming-lab/AutoResearchClaw

Generates code that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock.

awslabs/agent-plugins

LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao.

davila7/claude-code-templates

Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure.

sickn33/agentic-awesome-skills

Hugging Face Transformers for loading Hub models, running pipeline inference, text generation, and Trainer fine-tuning on NLP, vision, audio, and multimodal tasks.

K-Dense-AI/scientific-agent-skills

Configure and author rgthree-comfy nodes — Fast Groups Bypasser/Muter (group toggles), Power Lora Loader, Context/Context Big, Seed, Any Switch.

artokun/comfyui-mcp

A skill your agent uses when connecting an AI agent to Scenario (scenario.com) through MCP, or when a task involves generating images, video, 3D, audio, sprites, textures, or game assets.

scenario-labs/skills

A skill your agent uses when one look must hold across Scenario generations: one character across scenes, a turnaround, or a video animated from its references, one product across angles, one style…

scenario-labs/skills

Discovers user intent and generates a structured, step-by-step plan for model customization workflows.

awslabs/agent-plugins

Fine-tune a DPA3 model in DeePMD-kit using the PyTorch backend.

jinzhezenggroup/computational-chemistry-agent-skills

Fine-tune LLMs with LlamaFactory — register datasets, train via YAML configs, merge LoRA adapters and serve the result.

Prism-Shadow/penguin-harness

Prepare, format, and validate datasets for supervised fine-tuning and preference training.

wshobson/agents

Build the evaluation harness that gates every fine-tuning run — golden sets, per-failure-mode graders, judge calibration, and base-model baselines.

wshobson/agents

Decide whether to fine-tune at all, and route to the right method (SFT, DPO/ORPO/KTO, GRPO/RLVR, continued pretraining) and base model.

wshobson/agents

Train reasoning and verifiable-task behavior with GRPO and reinforcement learning from verifiable rewards (RLVR).

wshobson/agents

Configure LoRA and QLoRA supervised fine-tuning with current best-practice hyperparameters.

wshobson/agents

Align a fine-tuned model with preference data using DPO, ORPO, KTO, or SimPO.

wshobson/agents

Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13).

wshobson/agents

Fine-tune vision-language models (VLMs) with supervised learning on image+text data.

wshobson/agents

Chief AI Officer advisory for startups: model build-vs-buy decisions (API vs fine-tune vs in-house), AI risk classification under EU AI Act + US state patchwork, AI cost economics…

alirezarezvani/claude-skills