uft-deepread-module

Add new modules to the UFT DeepRead pipeline for data recovery and analysis.

33|3|Updated Dec 22, 2025
One-click install
npx skills add https://github.com/Axel051171/UnifiedFloppyTool --skill uft-deepread-module
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: uft-deepread-module
Source: https://github.com/Axel051171/UnifiedFloppyTool/tree/main/.claude/skills/uft-deepread-module
Command: npx skills add https://github.com/Axel051171/UnifiedFloppyTool --skill uft-deepread-module

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables the extension of UFT's DeepRead pipeline by adding new modules for enhanced data recovery and analysis.

Core Features & Use Cases

  • Pipeline Extension: Add new modules to the DeepRead pipeline for adaptive recovery or OTDR booster chain.
  • Module Implementation: Provide a framework for implementing and integrating new modules into the pipeline.
  • Use Case: A user could use this Skill to add a new noise reduction module to the OTDR stage or a new adaptive decoding pass to the DeepRead stage.

Quick Start

Implement a new module by following the guidelines and add it to the appropriate stage of the DeepRead pipeline.

Frequently Asked Questions about uft-deepread-module

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add a new module to the DeepRead pipeline for floppy disk data recovery?

You can add new modules to the DeepRead pipeline by following the framework guidelines to implement and integrate custom logic into the appropriate pipeline stage for enhanced floppy disk data recovery.

What do I need to extend the UFT DeepRead pipeline with custom analysis modules?

Extending the DeepRead pipeline requires knowledge of the UFT framework and programming skills to implement new modules for data recovery and analysis tasks.

Can I add a noise reduction module to the OTDR booster chain?

Yes, the framework supports adding new noise reduction modules to the OTDR booster chain stage. You implement the module logic and integrate it into the appropriate pipeline stage for adaptive recovery.

When do I need to use custom modules for floppy disk preservation and analysis?

Custom modules are needed when standard DeepRead pipeline capabilities are insufficient for specific floppy disk preservation tasks. They enable adaptive decoding passes and noise reduction for improved data recovery.

How does module development work for the DeepRead pipeline?

Module development for the DeepRead pipeline involves creating custom logic following the framework guidelines and adding it to the appropriate pipeline stage. This extends data recovery and analysis capabilities within the UFT framework.