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deepfabric-generator

Official

Generate fine-tuning datasets from a topic.

Software Engineering#python#llm#data science#fine-tuning#dataset generation#deepfabric
Authoralways-further
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the creation of high-quality, fine-tuning-ready synthetic datasets from a single sentence describing a topic, streamlining the AI model development process.

Core Features & Use Cases

  • Automated Dataset Generation: Transforms a topic into a structured dataset suitable for model fine-tuning.
  • Interactive Configuration: Guides users through defining dataset parameters like depth, degree, and LLM provider.
  • Use Case: A machine learning engineer needs a dataset to fine-tune a model on "building REST APIs in Python". They provide this topic to the skill, which then interactively configures and generates a dataset.jsonl file and a corresponding _train.py script.

Quick Start

Use the deepfabric-generator skill to generate a dataset about building REST APIs in Python.

Dependency Matrix

Required Modules

None required

Components

assetsscripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: deepfabric-generator
Download link: https://github.com/always-further/deepfabric-skill/archive/main.zip#deepfabric-generator

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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