Continuous-Claude-v3 vector-spaces

Problem-solving strategies for vector spaces 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 "$T/.claude/skills/math/linear-algebra/vector-spaces" ~/.claude/skills/parcadei-continuous-claude-v3-vector-spaces && rm -rf "$T"
manifest: .claude/skills/math/linear-algebra/vector-spaces/SKILL.md
source content

Vector Spaces

When to Use

Use this skill when working on vector-spaces problems in linear algebra.

Decision Tree

  1. Check Subspace

    • Contains zero vector?
    • Closed under addition?
    • Closed under scalar multiplication?
    • Verify with
      z3_solve.py prove
  2. Linear Independence

    • Set up Ax = 0 where columns are vectors
    • sympy_compute.py nullspace "A"
    • Trivial nullspace = independent
  3. Basis and Dimension

    • Find spanning set, remove dependent vectors
    • sympy_compute.py rref "A"
      to find pivot columns
    • Dimension = number of pivots
  4. Change of Basis

    • Find transition matrix P
    • New coords = P^(-1) * old coords
    • sympy_compute.py inverse "P"

Tool Commands

Sympy_Nullspace

uv run python -m runtime.harness scripts/sympy_compute.py nullspace "[[1,2,3],[4,5,6]]"

Sympy_Rref

uv run python -m runtime.harness scripts/sympy_compute.py rref "[[1,2,3],[4,5,6]]"

Z3_Prove

uv run python -m runtime.harness scripts/z3_solve.py prove "subspace_closed"

Cognitive Tools Reference

See

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