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markovlens
markovlens contiene 4 skills recopiladas de afrizzal, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Convert a raw Kaggle CSV into MarkovLens-ready format — registered dataset row + transitions table population. Use when ingesting a new dataset.
Validate a transition matrix against MarkovLens invariants — square shape, non-negative, rows sum to 1.0, minimum observations per cell. Use whenever building, modifying, or accepting a transition matrix from user input/external source.
Run a standardized Monte Carlo simulation over a transition matrix with reproducible seed, percentile confidence bands, and longshot-bias calibration applied. Use whenever the user asks for forecast probabilities, simulation results, or what-if scenarios.
Scaffold a new Streamlit page that follows MarkovLens conventions — set_page_config, theme injection, layout grid, KPI strip, tabs, error handling. Use when creating a new page in app/pages/.