Eigenvalues
- 1 installs
- 3.9k repo stars
- Updated January 26, 2026
- parcadei/continuous-claude-v3
Guides Claude through linear-algebra eigenvalue problems by computing characteristic polynomials and eigenvalues via sympy.
About
A decision-tree skill for finding eigenvalues via the characteristic polynomial det(A - lambda I). A developer uses it when they want Claude to compute eigenvalues symbolically with sympy.
- Characteristic polynomial computation with sympy
- Eigenvalue solving from det(A - lambda I) = 0
Eigenvalues by the numbers
- 1 all-time installs (skills.sh)
- Ranked #1,803 of 2,064 Data Science & ML skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/parcadei/continuous-claude-v3 --skill eigenvaluesAdd your badge
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| Installs | 1 |
|---|---|
| repo stars | ★ 3.9k |
| Last updated | January 26, 2026 |
| Repository | parcadei/continuous-claude-v3 ↗ |
What it does
Guides Claude through linear-algebra eigenvalue problems by computing characteristic polynomials and eigenvalues via sympy.
Files
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
uv run python -m runtime.harness scripts/sympy_compute.py eigenvalues "[[1,2],[3,4]]"Sympy_Charpoly
uv run python -m runtime.harness scripts/sympy_compute.py charpoly "[[a,b],[c,d]]" --var lamZ3_Verify
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.
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