uft-ml-training-data
CommunityGenerate labeled training data for UFT's ML modules
Software Engineering#machine learning#training data#data augmentation#forensic analysis#UnifiedFloppyTool
AuthorAxel051171
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the need for generating labeled training data for UFT's machine learning modules, ensuring high-quality, diverse datasets for accurate model training.
Core Features & Use Cases
- Labeled Data Generation: Produces flux captures with ground truth, synthetic patterns, and protection-classifier reference samples.
- Data Types: Supports real captures, synthetic flux, and augmented synthetic data.
- Use Case: For instance, generating training data for the UFT ML decoder or classifier, or augmenting existing data to improve robustness.
Quick Start
Generate labeled training data for the UFT ML decoder by using the uft-ml-training-data skill.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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: uft-ml-training-data Download link: https://github.com/Axel051171/UnifiedFloppyTool/archive/main.zip#uft-ml-training-data Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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