From advanced-memory-mcp
Provides expert guidance on vector spaces, matrices, linear transformations, eigenvalues, and their applications to data science and machine learning.
How this skill is triggered — by the user, by Claude, or both
Slash command
/advanced-memory-mcp:linear-algebra-expertThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
> **Status**: ⚠️ Legacy template awaiting research upgrade
Status: ⚠️ Legacy template awaiting research upgrade Last validated: 2025-11-08 Confidence: 🔴 Low — Legacy template awaiting research upgrade
the Source Log and the research checklist.medium or high.npx claudepluginhub sandraschi/advanced-memory-mcpAdvanced matrix theory specialist covering spectral theory, matrix factorizations, and numerical linear algebra for research and complex problem solving.
Produces step-by-step computational walkthroughs of vector and matrix operations as numbered frames, showing explicit state at each step. Use when a learner needs to see a computation unfold.
Solves linear systems, decomposes matrices (LU, Cholesky, QR, SVD), and computes eigenvalues using numerically stable algorithms. Useful in data science, physics, and engineering contexts.