Automates iterative evaluation and refinement of DxEngine diagnostic AI data files and rules.
npx skills add https://github.com/BEC01/dxengine --skill improve-bec01
Please help me install this Agent Skill. Skill: improve Source: https://github.com/BEC01/dxengine/tree/main/.claude/skills/improve Command: npx skills add https://github.com/BEC01/dxengine --skill improve-bec01
It streamlines the continuous enhancement of the DxEngine diagnostic system by automating evaluation and data correction processes.
Invoke the improve skill to run the perpetual self-improvement loop, analyzing current evaluations and applying recommended fixes automatically.
High-intent search queries and answers about installing and using this skill.
Automated diagnostic AI tuning evaluates probability data and disease patterns to propose targeted rule adjustments. This iterative refinement process improves diagnostic accuracy without manual intervention.
Automated self-evaluation runs iterative assessments of a diagnostic engine's accuracy and performance metrics. It identifies gaps in likelihood ratios and disease patterns to suggest data corrections.
Yes, automated system optimization identifies weaknesses in likelihood ratios and disease patterns to suggest targeted updates. It modifies only data files and verifies improvements through automatic re-evaluation.
Automated self-improvement ensures safe operations by modifying only data files. It refines likelihood entries and diagnostic rules while verifying all improvements through automatic re-evaluation.
The best way to refine medical diagnosis software quality is through a perpetual self-improvement loop. This analyzes current evaluations and automatically applies recommended fixes to diagnostic rules.
Automated tuning is limited to modifying data files for rule-based system optimization. It focuses strictly on probability data and disease patterns, ensuring safe operations without altering core engine logic.
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