loss-backprop-lens
CommunityTune code edits with gradient-aware steps.
Authorveegee82
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill helps software engineers apply a gradient-descent mindset to code edits to avoid overfitting to a single failing test, calibrating the size and scope of changes to the problem at hand.
Core Features & Use Cases
- Gradient-driven decision framework for edits and risk assessment.
- Guidance on when to apply local tweaks vs architectural changes to improve generalization.
- Use case: when a test fails and multiple patches are possible, this lens helps choose the minimal, principled change.
Quick Start
Use this skill to evaluate a failing test by setting up a diagnostic gradient and deciding the next edit size.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: loss-backprop-lens Download link: https://github.com/veegee82/loss-driven-development/archive/main.zip#loss-backprop-lens Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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