Problem-solving strategies for matrices in linear algebra
Scanned 9/12/2026
Install to Claude Code
npx -y skills add thedixitjain/the-mega-skill-library --skill matrices --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: matrices
description: "Problem-solving strategies for matrices in linear algebra"
allowed-tools: "[Bash, Read]"
category: general-purpose
source_repo: parcadei/Continuous-Claude-v3
source_path: ".claude/skills/math/linear-algebra/matrices/SKILL.md"
source_url: https://github.com/parcadei/Continuous-Claude-v3/blob/HEAD/.claude/skills/math/linear-algebra/matrices/SKILL.md
---
# 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.
---
**Source:** [`parcadei/Continuous-Claude-v3`](https://github.com/parcadei/Continuous-Claude-v3) → `.claude/skills/math/linear-algebra/matrices/SKILL.md`
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