Continuous-Claude-v3 matrices

Problem-solving strategies for matrices in linear algebra

install

source · Clone the upstream repo

git clone https://github.com/parcadei/Continuous-Claude-v3

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/parcadei/Continuous-Claude-v3 "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/math/linear-algebra/matrices" ~/.claude/skills/parcadei-continuous-claude-v3-matrices && rm -rf "$T"

manifest: .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

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

Basic Operations

Multiplication:
```
sympy_compute.py matmul "A" "B"
```
Inverse:
```
sympy_compute.py inverse "A"
```
Transpose:
```
sympy_compute.py transpose "A"
```

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

Decompositions

LU:
```
sympy_compute.py lu "A"
```
QR:
```
sympy_compute.py qr "A"
```
SVD:
```
sympy_compute.py svd "A"
```

Tool Commands

Sympy_Inverse

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

Sympy_Det

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

Sympy_Linsolve

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.