Overview
What It Does
Dataset Curation packages a focused marketing & content workflow for an AI agent. 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, generating synthetic training data, or writing a dataset card before a run. It is best suited to users who can review the resulting actions and provide only the accounts, files, or command access needed for the task. It is not a substitute for human approval on destructive, financial, security-sensitive, or public-facing actions.
Task ideas
Popular Use Cases
- Draft and refine publishable content
- Research audiences and content opportunities
- Improve clarity, tone, and discoverability
- Plan a repeatable content workflow
Installation
Install this Agent Skill
Claude Code
npx skills add https://github.com/wshobson/agents --skill dataset-curationCommands derived from the public GitHub SKILL.md record. Checked 2026-09-02. Review the source before running them.
Before you start
Requirements
| Claude Code | Required / review |
| Codex | Required / review |
| Public SKILL.md source | Required / review |
| Review instructions and requested permissions before installation | Required / review |
| Paid service | Check source |
| Supported system | Check source |
Popularity context
Why It’s Popular
Dataset Curation is a verified Agent Skill from wshobson with a public SKILL.md, compatible with Claude Code, Codex.
Alternatives
