bayesian-reasoning-calibration

Features and purpose

Use when making predictions or judgments under uncertainty and need to explicitly update beliefs with new evidence. Invoke when forecasting outcomes, evaluating probabilities, testing hypotheses, calibrating confidence, assessing risks with uncertain data, or avoiding overconfidence bias. Use when user mentions priors, likelihoods, Bayes theorem, probability updates, forecasting, calibration, or belief revision.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.