numerical-linear-algebra-toolkit
High-performance numerical linear algebra operations
Profile →npx skills add a5c-ai/babysitter --skill numerical-linear-algebra-toolkit --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Numerical Linear Algebra Toolkit ## Purpose Provides high-performance numerical linear algebra operations for scientific computing and mathematical analysis. ## Capabilities - Matrix decompositions (LU, QR, SVD, Cholesky, Schur) - Eigenvalue/eigenvector computation - Sparse matrix operations - Iterative solvers (CG, GMRES, BiCGSTAB) - Condition number estimation - Error analysis and bounds ## Usage Guidelines 1. **Decomposition Selection**: Choose appropriate factorization for the problem 2. **Sparsity Exploitation**: Use sparse formats for large sparse matrices 3. **Iterative Methods**: Apply iterative solvers for very large systems 4. **Conditioning**: Assess and monitor condition numbers ## Tools/Libraries - LAPACK - BLAS - SuiteSparse - Eigen
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the numerical-linear-algebra-toolkit skill do?
High-performance numerical linear algebra operations
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill numerical-linear-algebra-toolkit --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.