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생산성 및 협업 · SKILL.md

matrices

matrices

Problem-solving strategies for matrices in linear algebra

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

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

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.

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