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agent-matrix-optimizer

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Matrix optimization with sublinear analysis.

Data & Analytics#optimization#large-scale#matrix#solver#sublinear#diagonal-dominance#condition-number
AuthorEthansuttor
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill analyzes and optimizes large matrices using sublinear algorithms to improve solver performance and scalability.

Core Features & Use Cases

  • Matrix property analysis: detect diagonal dominance, symmetry, and structural traits.
  • Condition number estimation & convergence insight: assess solver stability and predict performance.
  • Optimization recommendations: suggest preprocessing, transformations, and storage patterns for large-scale matrices.
  • Integration & orchestration: coordinates with swarm agents and sandbox environments for distributed analysis.

Quick Start

Analyze a 10000x10000 sparse matrix for diagonal dominance and provide optimization recommendations.

Dependency Matrix

Required Modules

None required

Components

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: agent-matrix-optimizer
Download link: https://github.com/Ethansuttor/QUANTIFIED/archive/main.zip#agent-matrix-optimizer

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