This skill generates high-quality synthetic training data in ChatML format for fine-tuning language models using frameworks like Unsloth, Axolotl, or similar tools.
| Planning my dataset - requirements, strategy, quality checklist | resources/dataset-strategy.md | | How to create diverse examples - variation techniques, multi-turn patterns, format-specific guidance | resources/generation-techniques.md |
| ChatML format details - structure, specification, common issues, framework compatibility | resources/chatml-format.md | | Example datasets - inspiration across domains, multi-turn samples, edge cases | resources/examples.md | | Validating quality - validation workflow, analyzing datasets, troubleshooting | resources/quality-validation.md |
Genera set di dati sintetici completi di ottimizzazione in formato ChatML (JSONL) da utilizzare con Unsloth, Axolotl e framework di formazione simili. Raccoglie i requisiti, crea set di dati con diversi esempi, convalida la qualità e fornisce indicazioni per l'integrazione del framework. Fonte: markpitt/claude-skills.