portfolio-optimizer
Modern portfolio theory optimization including Markowitz mean-variance, Black-Litterman, risk parity, and efficient frontier construction with constraints.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Modern portfolio theory optimization including Markowitz mean-variance, Black-Litterman, risk parity, and efficient frontier construction with constraints.
Portfolio risk analysis including Value at Risk (parametric, historical, Monte Carlo), Conditional VaR, stress testing, drawdown analysis, and factor exposure assessment.
Assemble data, options, and analysis for a pending decision. Presents trade-offs and recommendations without making the decision. Used by digital twin personas to reduce decision fatigue.
Models LTV, CAC by channel, LTV:CAC ratios, and payback period for an indie developer. Uses market_insights to calibrate channel CPMs and competitive intensity. Includes indie budget tier definitions and viability thresholds.
Maps direct, indirect, substitute, and emerging competitors with review mining, positioning gap analysis, and market_insights-calibrated saturation scoring. See canonical definition in skills/competitor-mapper/SKILL.md.
Writes a decision brief with verdict, RAT experiment, pre-mortem, tier-calibrated next actions, and kill criteria. See canonical definition in skills/decision-memo/SKILL.md.
Scores the strength of core human desire motivations (survival, status, belonging, control, curiosity) for a given app idea to predict user pull and retention potential.
Evaluates organic reach, paid feasibility, platform advantages, creator fit. See canonical definition in skills/distribution-analysis/SKILL.md.
Aggregates all dimension scores into a final idea score (0–100) and issues a verdict. Implements a multiplicative-floor algorithm with Riskiest Assumption Test (RAT). The final output of every validation workflow.
Generates evidence-backed pivot options with scoring simulation, effort estimation, and indie buildability filtering. Writes pivot_options.json (structured) and pivot_report.md (human-readable brief). See canonical definition in skills/pivot-engine/SKILL.md.