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matrices

Problem-solving strategies for matrices in linear algebra

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This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

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Hot score

Updated

March 20, 2026

Overall rating

C4.8

Composite score

4.8

Best-practice grade

B81.2

Install command

npx @skill-hub/cli install parcadei-continuous-claude-v3-matrices

Repository

parcadei/Continuous-Claude-v3

Skill path: .claude/skills/math/linear-algebra/matrices

Problem-solving strategies for matrices in linear algebra

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Primary workflow: Ship Full Stack.

Technical facets: Full Stack.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: parcadei.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

Install matrices into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
Review https://github.com/parcadei/Continuous-Claude-v3 before adding matrices to shared team environments
Use matrices for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

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Original source / Raw SKILL.md

---
name: matrices
description: "Problem-solving strategies for matrices in linear algebra"
allowed-tools: [Bash, Read]
---

# Matrices

## When to Use

Use this skill when working on matrices problems in linear algebra.

## Decision Tree


1. **Identify Matrix Type**
   - Square, symmetric, orthogonal, diagonal?
   - Check properties with `sympy_compute.py matrix_type`

2. **Basic Operations**
   - Multiplication: `sympy_compute.py matmul "A" "B"`
   - Inverse: `sympy_compute.py inverse "A"`
   - Transpose: `sympy_compute.py transpose "A"`

3. **Solve Linear Systems**
   - Ax = b: `sympy_compute.py linsolve "A" "b"`
   - Check consistency with `z3_solve.py sat`

4. **Decompositions**
   - LU: `sympy_compute.py lu "A"`
   - QR: `sympy_compute.py qr "A"`
   - SVD: `sympy_compute.py svd "A"`


## Tool Commands

### Sympy_Inverse
```bash
uv run python -m runtime.harness scripts/sympy_compute.py inverse "[[1,2],[3,4]]"
```

### Sympy_Det
```bash
uv run python -m runtime.harness scripts/sympy_compute.py det "[[a,b],[c,d]]"
```

### Sympy_Linsolve
```bash
uv run python -m runtime.harness scripts/sympy_compute.py linsolve "[[1,2],[3,4]]" "[5,6]"
```

## Cognitive Tools Reference

See `.claude/skills/math-mode/SKILL.md` for full tool documentation.