monte carlo AI Agent Skills
Browse 33 skills related to monte carlo
qutip
davila7Quantum mechanics simulations and analysis using QuTiP (Quantum Toolbox in Python). Use when working with quantum systems including: (1) quantum states (kets, bras, density matrices), (2) quantum operators and gates, (3) time evolution and dynamics (Schrödinger, master equations, Monte Carlo), (4) open quantum systems with dissipation, (5) quantum measurements and entanglement, (6) visualization (Bloch sphere, Wigner functions), (7) steady states and correlation functions, or (8) advanced methods (Floquet theory, HEOM, stochastic solvers). Handles both closed and open quantum systems across various domains including quantum optics, quantum computing, and condensed matter physics.
cryptocurrency-trader
openclawProduction-grade AI trading agent for cryptocurrency markets with advanced mathematical modeling, multi-layer validation, probabilistic analysis, and zero-hallucination tolerance. Implements Bayesian inference, Monte Carlo simulations, advanced risk metrics (VaR, CVaR, Sharpe), chart pattern recognition, and comprehensive cross-verification for real-world trading application.
monte-carlo-physics-simulator
a5c-aiMonte Carlo simulation toolkit for statistical physics, particle transport, and stochastic processes
scenario-modeler
a5c-aiMonte Carlo simulations for exit scenarios and return distributions
monte-carlo-engine
a5c-aiMonte Carlo simulation engine skill for probabilistic modeling, risk quantification, and uncertainty propagation
monte-carlo-simulation
a5c-aiMonte Carlo methods for uncertainty quantification
MonteCarlo
Run Monte Carlo simulations for Finance Guru portfolio strategy. USE WHEN user mentions monte carlo OR run simulation OR stress test portfolio OR probability analysis OR income projections OR margin safety analysis. Supports 4-layer portfolio (Growth, Income, Hedge, GOOGL) with auto-detection of current values from Fidelity CSV.
mcmc-sampling-stan
letta-aiGuide for performing Markov Chain Monte Carlo (MCMC) sampling using RStan or PyStan. This skill should be used when implementing Bayesian statistical models, fitting hierarchical models, working with Stan modeling language, or running MCMC diagnostics. Applies to tasks involving posterior sampling, Bayesian inference, and probabilistic programming with Stan.
adaptive-rejection-sampler
letta-aiGuidance for implementing adaptive rejection sampling (ARS) algorithms for generating random samples from log-concave probability distributions. This skill should be used when tasks involve implementing ARS, rejection sampling, or Monte Carlo methods that require sampling from custom probability distributions, particularly in R or other statistical computing languages.
cwicr-risk-calculator
datadrivenconstructionCalculate risk-adjusted cost estimates using CWICR data. Apply contingencies, Monte Carlo simulation, and probability distributions to cost estimates.
oracle-nano
francomascareloaiORACLE NANO v3.1 - Statistical Validator for NautilusTrader/Apex Trading. Compact skill for context-limited sessions (~3KB). FOCO: WFA, Monte Carlo, PSR/DSR, GO/NO-GO decisions, Apex compliance. DROID: oracle-backtest-commander.md tem conhecimento COMPLETO. APEX: 5% trailing DD ($2.5k on $50k) - MUITO mais rigoroso que FTMO! Triggers: "Oracle", "backtest", "validate", "WFA", "Monte Carlo", "Sharpe", "DSR", "overfitting", "GO/NO-GO", "challenge", "live", "Apex"
tradeblocks-risk
davidromeoRisk analysis for trading strategies including Kelly criterion calculations, tail risk metrics, and Monte Carlo projections. Use when exploring position sizing, capital allocation, or understanding worst-case characteristics.
risk-modeling
omer-metinUse when building VaR models, stress testing portfolios, Monte Carlo simulations, or implementing enterprise risk management - covers market risk, credit risk, and operational risk frameworks. Use when ", " mentioned.
monte-carlo
omer-metinDesign and implement Monte Carlo methods for uncertainty quantification, risk analysis, and probabilistic simulations across scientific and financial domains. Use when "monte carlo, random sampling, uncertainty quantification, risk analysis, stochastic simulation, MCMC, variance reduction, probabilistic, " mentioned.
derivatives-pricing
omer-metinUse when pricing options, calculating Greeks, implementing exotic derivatives, or building pricing engines - covers Black-Scholes, binomial trees, Monte Carlo, and QuantLib integrationUse when ", " mentioned.
financial-calculator
dkyazzentwatwaFinancial calculations: loans, investments, NPV/IRR, retirement planning, Monte Carlo simulations. Generates tables, charts, and exportable reports.
dqmc-run
edwnhExecute DQMC Monte Carlo sweeps on HDF5 simulation files. Use when running simulations, checkpointing long runs, using the queue system for multiple files, or checking simulation status.
dqmc-generate
edwnhCreate HDF5 simulation files for DQMC with specified physical parameters. Use when setting up new simulations, specifying lattice size, interaction strength U, chemical potential mu, temperature (via dt and L), or number of Monte Carlo sweeps.
financial-scenario-planner
travisjneumanStress-test financial plans across scenarios (bull/bear/base), sensitivity tables, and Monte Carlo-style analysis. Use when evaluating financial assumptions, modeling risk scenarios, or building scenario-based financial plans.
creating-financial-models
ronnycodingThis skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
creating-financial-models
aisa-groupThis skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
gay-monte-carlo
plurigridGay Monte Carlo Measurements
validating-backtests
gitwalterValidate trading strategies with walk-forward analysis, Monte Carlo simulation, and robustness checks
simulate-stochastic-process
pjt222Simulate stochastic processes (Markov chains, random walks, SDEs, MCMC) with convergence diagnostics, variance reduction, and visualization. Use when generating sample paths for estimation, prediction, or visualization; when analytical solutions are intractable; running Monte Carlo estimation needing convergence guarantees; validating analytical results against empirical simulation; or sampling from complex posteriors via MCMC.
retirement-planner
mrelphThis skill should be used when the user asks "am I ready to retire", "when can I retire", "Social Security claiming strategy", "Roth conversion analysis", "withdrawal strategy", "how much do I need to retire", "Monte Carlo simulation", "retirement income plan", or mentions 401(k), IRA, RMD, pension, Medicare planning, or retirement savings targets. Also triggered by questions about retirement spending, sequence of returns risk, or survivor benefits.
simulate-stochastic-process
pjt222Simulate stochastic processes (Markov chains, random walks, SDEs, MCMC) with convergence diagnostics, variance reduction, and visualization. Use when generating sample paths for estimation, prediction, or visualization; when analytical solutions are intractable; running Monte Carlo estimation needing convergence guarantees; validating analytical results against empirical simulation; or sampling from complex posteriors via MCMC.
count-combinations
jimmc414For probability and counting: permutations, combinations, sample spaces, Monte Carlo simulation, brute-force enumeration, card/dice problems.
finance-scenario-modeler
escotilhaConservative/moderate/aggressive scenario modeling with Monte Carlo simulations and sensitivity analysis for Nuvini's financial planning. Models key variables including FX rates (BRL/USD), revenue growth, churn, EBITDA margin, interest rates, and IPCA inflation. Sources FP&A Blueprint. Triggers on: scenario model, cenários, Monte Carlo, sensitivity analysis, scenario planning, what-if.
cwicr-risk-calculator
jdmorag97-rgbCalculate risk-adjusted cost estimates using CWICR data. Apply contingencies, Monte Carlo simulation, and probability distributions to cost estimates.
senior-pm
robertbstillwellSenior Project Manager for enterprise software, SaaS, and digital transformation projects. Specializes in portfolio management, quantitative risk analysis, resource optimization, stakeholder alignment, and executive reporting. Uses advanced methodologies including EMV analysis, Monte Carlo simulation, WSJF prioritization, and multi-dimensional health scoring.
wargame
wyattowalshDomain-agnostic strategic decision analysis and wargaming. Auto-classifies scenario complexity: simple decisions get structured analysis (pre-mortem, ACH, decision trees); complex or adversarial scenarios get full multi-turn interactive wargames with AI-controlled actors, Monte Carlo outcome exploration, and structured adjudication. Generates visual dashboards and saves markdown decision journals. Use for business strategy, crisis management, competitive analysis, geopolitical scenarios, personal decisions, or any consequential choice under uncertainty. NOT for simple pros/cons lists, non-strategic decisions, or academic debate.
Scenario Planning
KaakatiUSE THIS SKILL when the user asks to build scenarios, conduct sensitivity analysis, create base/bull/bear cases, model different outcomes, stress test assumptions, evaluate risk scenarios, build a scenario tree, or assess probability-weighted outcomes. Trigger terms: "scenario planning", "scenario analysis", "sensitivity analysis", "base case", "bull case", "bear case", "upside/downside", "what if", "stress test", "Monte Carlo", "scenario tree", "probability-weighted", "expected value", "risk scenario", "contingency plan".
scrum-master
robertbstillwellAdvanced Scrum Master with data-driven team health analysis, velocity forecasting, retrospective insights, and team development expertise. Features comprehensive sprint health scoring, Monte Carlo forecasting, and psychological safety frameworks for high-performing agile teams.
