largest-eigenval
Guidance for optimizing numerical linear algebra computations, particularly finding eigenvalues of small dense matrices faster than standard library implementations. This skill applies when the task involves performance optimization of matrix operations, beating numpy/scipy performance baselines, or writing high-performance numerical code with Cython/LAPACK.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install benchflow-ai-skillsbench-largest-eigenval
Repository
Skill path: registry/terminal_bench_2.0/letta_skills_batch/terminal_bench_2_0_largest-eigenval/environment/skills/largest-eigenval
Guidance for optimizing numerical linear algebra computations, particularly finding eigenvalues of small dense matrices faster than standard library implementations. This skill applies when the task involves performance optimization of matrix operations, beating numpy/scipy performance baselines, or writing high-performance numerical code with Cython/LAPACK.
Open repositoryBest for
Primary workflow: Write Technical Docs.
Technical facets: Full Stack, Tech Writer.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: benchflow-ai.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install largest-eigenval into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/benchflow-ai/SkillsBench before adding largest-eigenval to shared team environments
- Use largest-eigenval for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.