linear-algebra-numerics
CommunityMatrix conditioning and factor-space stability.
Data & Analytics#diagnostics#linear algebra#quantitative research#numerics#matrix conditioning#factor stability
AuthorGhostOf0days
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the complexities of quantitative research and production controls by providing robust workflows for linear algebra numerics, ensuring matrix conditioning and factor-space stability.
Core Features & Use Cases
- Reproducible Research: Execute linear algebra numerics with explicit controls and deployable outputs.
- Parameter Estimation & Validation: Estimate parameters with reproducible settings and validate numerical stability.
- Risk Controls: Implement safeguards for parameter bounds, convergence failures, and drift detection.
- Use Case: When dealing with large datasets requiring matrix decomposition or stability analysis, this skill ensures the numerical integrity and reliability of the results.
Quick Start
Use the linear-algebra-numerics skill to run diagnostics on the input file 'input.csv' and save the output to 'diagnostics.json'.
Dependency Matrix
Required Modules
pandasnumpy
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: linear-algebra-numerics Download link: https://github.com/GhostOf0days/codex-quant-skills/archive/main.zip#linear-algebra-numerics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.