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Rachnog AI Skills

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Browse published AI skills maintained by Rachnog. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

5

Repository stars across indexed skills

10

Repository forks

0

Average repository stars per indexed skill

2

Repository stars may repeat across skills from the same repository.

5 skills

Browse skills

GitHub

portfolio-comparison

Rachnog

Compare different portfolio optimization approaches and present trade-offs. Use when the investor wants to see multiple options or understand alternatives.

GitHub

optimization-execution

Rachnog

Execute portfolio optimization using Mean-Variance Optimization (MVO) or Hierarchical Risk Parity (HRP). Use when constructing optimal portfolio weights from a set of assets.

GitHub

backtesting

Rachnog

Backtest portfolio performance using historical data. Use when validating portfolio strategy with historical returns, calculating realized metrics, and stress testing.

GitHub

risk-assessment

Rachnog

Assess portfolio risk using volatility, drawdown, and other risk metrics. Use when evaluating the risk characteristics of a portfolio or comparing risk profiles.

GitHub

universe-selection

Rachnog

Select appropriate asset universes for portfolio construction based on investor profile, risk tolerance, and investment goals. Use when determining which assets to include in a portfolio.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.