Analyze decision scenarios using the EKB framework with Python libraries.
npx skills add https://github.com/caomz/decision-algorithm --skill decision-algorithm
Please help me install this Agent Skill. Skill: decision-algorithm Source: https://github.com/caomz/decision-algorithm/tree/main Command: npx skills add https://github.com/caomz/decision-algorithm --skill decision-algorithm
This Skill helps users make better decisions by applying the EKB framework (Expected Value + Kelly Criterion + Bayes) to analyze and evaluate various decision scenarios.
Use the decision-algorithm skill to analyze the potential risks and rewards of a new investment opportunity.
High-intent search queries and answers about installing and using this skill.
The EKB framework evaluates decision scenarios by combining Expected Value calculations, the Kelly Criterion for resource allocation, and Bayes' theorem for probability updates. It processes career choices, investments, and business opportunities to output risk assessments and optimal strategies.
Yes, this risk assessment Skill requires Python with pandas and numpy installed to process decision variables. It leverages these libraries to compute expected values and recommend optimal resource allocation for business opportunities and personal relationships.
The best way to assess business opportunity risks and rewards is applying the EKB framework, which combines Expected Value calculations with Bayesian probability updates. This structured approach evaluates potential outcomes to recommend optimal resource allocation.
Yes, the decision analysis approach explicitly supports personal career choices alongside investment decisions and business opportunities. It evaluates the expected value and risk of different career paths to determine optimal resource allocation.
Avoid using the Kelly Criterion for decision making when your scenario lacks quantifiable probabilities or discrete outcomes, as the EKB framework relies on calculating expected value and applying Bayesian updates to recommend accurate resource allocation.
galeepExplore multiple future scenarios with probability and consequence analysis.
adriaanmostert1976-labCalculates risk-adjusted expected value from scenario outcomes and probabilities.
PatrickSUDOCalculate expected value and probability distribution for investment portfolios.
mahmoud20138Compute risk-of-ruin, Kelly sizing, and Monte Carlo survival analyses for bankroll management.
