Skip to main content
Data Science & AIparcadei

matrices

Problem-solving strategies for matrices in linear algebra

Stars
3,795
Source
parcadei/Continuous-Claude-v3
Updated
2026-01-26
Slug
parcadei--Continuous-Claude-v3--matrices
View on GitHubRaw SKILL.md

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/parcadei/Continuous-Claude-v3/HEAD/.claude/skills/math/linear-algebra/matrices/SKILL.md -o .claude/skills/matrices.md

Drops the SKILL.md into .claude/skills/matrices.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

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

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.