vector-spaces

Quick Review

This skill provides a clear decision tree for common vector space problems (subspaces, linear independence, basis/dimension, change of basis) with appropriate computational tool commands. The structure is clean and the task knowledge is practical for standard linear algebra operations. However, the description is quite generic and doesn't fully convey the specific problem-solving strategies offered. The novelty is moderate—while the decision tree adds value, many of these operations (nullspace, rref, matrix inverse) are straightforward for a capable CLI agent to construct independently. The skill would benefit from more complex scenarios where the strategic approach truly saves tokens, such as handling edge cases, combining multiple verification steps, or dealing with abstract/symbolic vector spaces where the workflow is less obvious.