Dataset Curation
Prepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying chat templates, configuring…
15 skills · 3 publishers· updated November 4, 2026
Fine-tuning, LoRA, datasets, evaluation and ML pipelines. Skills for training and shipping models, not just calling them.
Seth Hobson 42k
Prepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying chat templates, configuring sequence packing…
npx skills add wshobson/agents --skill dataset-curationSeth Hobson 42k
Decide whether to fine-tune at all, and route to the right method (SFT, DPO/ORPO/KTO, GRPO/RLVR, continued pretraining) and base model. Use when starting any fine-tuning effort, when unsure whether…
npx skills add wshobson/agents --skill finetuning-method-selectionSeth Hobson 42k
Configure LoRA and QLoRA supervised fine-tuning with current best-practice hyperparameters. Use when writing or reviewing a LoRA/QLoRA training configuration, choosing rank/alpha/target modules, or…
npx skills add wshobson/agents --skill lora-qlora-recipes15 skills
Prepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying chat templates, configuring…
Decide whether to fine-tune at all, and route to the right method (SFT, DPO/ORPO/KTO, GRPO/RLVR, continued pretraining) and base model. Use when starting any fine-tuning effort…
Configure LoRA and QLoRA supervised fine-tuning with current best-practice hyperparameters. Use when writing or reviewing a LoRA/QLoRA training configuration, choosing…
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices…
Gate fine-tuned checkpoints with drift budgets, paired comparison, and forgetting checks before promotion. Use after a training run produces a checkpoint, when deciding whether a…
Build the evaluation harness that gates every fine-tuning run — golden sets, per-failure-mode graders, judge calibration, and base-model baselines. Use when starting a fine-tuning…
Align a fine-tuned model with preference data using DPO, ORPO, KTO, or SimPO. Use when preference pairs or thumbs-up/down feedback exist, when choosing between…
Export a promoted fine-tuned model in the right deployment format — merged safetensors, LoRA-only, GGUF with imatrix, or FP8. Use after a checkpoint passes promotion, when…
Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or…
Manage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run on GB10, when a job OOMs on unified…
Preflight and diagnose the ten known failure modes for ML training on NVIDIA DGX Spark. Use when a training run on DGX Spark fails to start, OOMs below the 128GB limit, slows down…
Fine-tune vision-language models (VLMs) with supervised learning on image+text data. Use when adapting a VLM to a visual domain or task, configuring frozen-vision-tower LoRA, or…
Build native UI with the @expo/ui package: real SwiftUI on iOS and Jetpack Compose on Android. Default to @expo/ui for sheets (BottomSheet), pickers, sliders, toggles, menus, and…
Azure VM/VMSS router. WHEN: create / provision / deploy / spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale, burstable, lightweight server, website…
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted…
This page collects every skill in the directory that covers machine learning: 15 from 3 publishers, including official skills from Microsoft and Expo. Each one links back to its original GitHub repository, so you always get the author's latest version. They span Mobile, Data & Databases, Cloud & DevOps and AI & Agents.
Our top pick is Dataset Curation by Seth Hobson, from a repository with 42k GitHub stars. Finetuning Method Selection and Lora Qlora Recipes round out the top three. Skills are ranked by the popularity of their source repository, with hand-picked favorites first, and official skills from Microsoft and Expo carry a badge.
Open a skill's page and run its install command in your project folder, for example npx skills add wshobson/agents --skill dataset-curation. You can also download any skill as a ZIP and add it to Claude Code or upload it to the Claude app.
The install guide walks through every method.
Yes. All 15 skills on this page are open source and free to use, and most are MIT licensed. You need a Claude plan that supports skills, or a coding agent that reads SKILL.md files.
Yes. A skill is a folder with a SKILL.md file, and the same folder works in Claude Code, the Claude desktop and web apps (on paid plans with code execution turned on) and the Claude API. Many also work in other agents that support the Agent Skills format, such as Cursor and OpenAI Codex. Skills that ship scripts need somewhere Claude can run code.
We list 15 from 3 publishers, last updated November 4, 2026. The list refreshes from GitHub as publishers release new skills.