portfolio-optimization-with-pyportfolioopt

gahoccode/PRDs

A comprehensive guide to portfolio optimization using PyPortfolioOpt, covering expected returns calculation, risk models, and optimization techniques.Use when users ask to optimize their portfolio or need advice on asset allocation.

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/gahoccode/PRDs/tree/main/skills/pyportfolioopt

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/gahoccode/PRDs/tree/main/skills/pyportfolioopt ~/.claude/skills/PRDs

# Project-specific

git clone https://github.com/gahoccode/PRDs/tree/main/skills/pyportfolioopt .claude/skills/PRDs

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/gahoccode/PRDs/tree/main/skills/pyportfolioopt"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/gahoccode/PRDs/tree/main/skills/pyportfolioopt

Option 2: Clone to extensions directory

git clone https://github.com/gahoccode/PRDs/tree/main/skills/pyportfolioopt ~/.gemini/extensions/PRDs

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