Eigenvalues
SkillProductivityGives your agent strategies for solving eigenvalue problems in linear algebra.
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Then ask your AI: use the Eigenvalues skill
About this capability
Problem-solving strategies for eigenvalues in linear algebra
What this skill tells your AI
The instructions your AI receives, as published by parcadei/continuous-claude-v3 in .claude/skills/math/linear-algebra/eigenvalues/SKILL.md and read by ahel’s review.
When to Use
Use this skill when working on eigenvalues problems in linear algebra.
Decision Tree
-
Compute Characteristic Polynomial
- det(A - lambda*I) = 0
sympy_compute.py charpoly "[[a,b],[c,d]]" --var lam
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Find Eigenvalues
- Solve characteristic polynomial
sympy_compute.py eigenvalues "[[1,2],[3,4]]"
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Find Eigenvectors
- For each eigenvalue lambda: solve (A - lambda*I)v = 0
sympy_compute.py eigenvectors "[[1,2],[3,4]]"
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Verify
- Check Av = lambda*v with
z3_solve.py prove - Verify algebraic/geometric multiplicity
- Check Av = lambda*v with
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 lam
Z3_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.
Signals
- GitHub stars
- 4k
- Forks
- 300
- Last commit
- Jan 2026
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eigenvalues- Source
- github.com/parcadei/continuous-claude-v3