# Eigenvalues

> Eigenvalues

- Skill: `dojogenesis/eigenvalues` (Agent Skill)
- Install (CLI): `npx skillmds@latest add dojogenesis/eigenvalues`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dojogenesis/eigenvalues/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: DojoGenesis (https://skillmd.com/u/dojogenesis)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/dojogenesis/eigenvalues

---


# Eigenvalues

## When to Use

Use this skill when working on eigenvalues problems in linear algebra.

## Decision Tree


1. **Compute Characteristic Polynomial**
   - det(A - lambda*I) = 0
   - `sympy_compute.py charpoly "[[a,b],[c,d]]" --var lam`

2. **Find Eigenvalues**
   - Solve characteristic polynomial
   - `sympy_compute.py eigenvalues "[[1,2],[3,4]]"`

3. **Find Eigenvectors**
   - For each eigenvalue lambda: solve (A - lambda*I)v = 0
   - `sympy_compute.py eigenvectors "[[1,2],[3,4]]"`

4. **Verify**
   - Check Av = lambda*v with `z3_solve.py prove`
   - Verify algebraic/geometric multiplicity


## Tool Commands

### Sympy_Eigenvalues
```bash
uv run python -m runtime.harness scripts/sympy_compute.py eigenvalues "[[1,2],[3,4]]"
```

### Sympy_Charpoly
```bash
uv run python -m runtime.harness scripts/sympy_compute.py charpoly "[[a,b],[c,d]]" --var lam
```

### Z3_Verify
```bash
uv run python -m runtime.harness scripts/z3_solve.py sat "det(A - lambda*I) == 0"
```

## Cognitive Tools Reference

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