Numerical linear algebra toolkit
High-performance numerical linear algebra operationsFrom its SKILL.md
npx -y skills add a5c-ai/babysitter --skill numerical-linear-algebra-toolkitAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
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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
- Decomposition Selection: Choose appropriate factorization for the problem
- Sparsity Exploitation: Use sparse formats for large sparse matrices
- Iterative Methods: Apply iterative solvers for very large systems
- Conditioning: Assess and monitor condition numbers
Tools/Libraries
- LAPACK
- BLAS
- SuiteSparse
- Eigen
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.