home/categories/framework-internals/letta-ai-skills-letta-benchmarks-trajectory-feedback-portfolio-optimization-skill-md
framework-internalsdevelopment

portfolio-optimization

Guidance for implementing high-performance portfolio optimization using Python C extensions. This skill applies when tasks require optimizing financial computations (matrix operations, covariance calculations, portfolio risk metrics) by implementing C extensions for Python. Use when performance speedup requirements exist (e.g., 1.2x or greater) and the task involves numerical computations on large datasets (thousands of assets).

letta-ai
maintainer
letta-ai
Atualizado 1/19/2026
Estrelas
31
Forks
5
quick start

Installation and usage

Guidance for implementing high-performance portfolio optimization using Python C extensions. This skill applies when tasks require optimizing financial computations (matrix operations, covariance calculations, portfolio risk metrics) by implementing C extensions for Python. Use when performance speedup requirements exist (e.g., 1.2x or greater) and the task involves numerical computations on large datasets (thousands of assets).

Instalação
$ install --globalskills.sh
Uso

Depois de instalar, você pode usar esta skill executando o seguinte comando no terminal:

skills use portfolio-optimization