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).
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Installation for Agentic Skill
View all platforms →skilz install letta-ai/skills/portfolio-optimizationskilz install letta-ai/skills/portfolio-optimization --agent opencodeskilz install letta-ai/skills/portfolio-optimization --agent codexskilz install letta-ai/skills/portfolio-optimization --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/letta-ai/skillscp -r skills/ai/benchmarks/letta/terminal-bench-2/trajectory-feedback/portfolio-optimization ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Repository
- skills
- Stars
- 13
- Forks
- 1
- Type
- Technical
- Meta-Domain
- development
- Primary Domain
- python
- Market Score
- 21
Browse Category
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