eigenvalues

Quick Review

This skill provides a clear decision tree for solving eigenvalue problems with specific command examples for computation, finding eigenvectors, and verification. The structure is clean and the task knowledge is solid with concrete tool invocations. However, the description is somewhat generic ('problem-solving strategies'), making it less clear when a CLI agent should invoke this versus handling eigenvalue queries directly. The novelty is moderate - while the decision tree adds value, many eigenvalue computations are straightforward for modern LLMs. The skill references external files (sympy_compute.py, z3_solve.py, math-mode/SKILL.md) which are assumed present per instructions. Strengths include the systematic approach and verification step; improvements could include more complex scenarios (generalized eigenvalue problems, numerical stability considerations) or handling of edge cases that would more clearly justify the skill wrapper.