Load when the user is choosing priors, running prior predictive checks, calling find_constrained_prior, using PreliZ, or otherwise eliciting domain knowledge into a Bayesian model. Covers weakly informative priors, constrained priors, sensitivity analysis, and elicitation workflows. Triggers include: prior selection, elicitation, find_constrained_prior, PreliZ, prior predictive, expert/informative priors, weakly informative priors, constrained priors.
How to install prior-elicitation?
pymc-labs/python-analytics-skills/prior-elicitation
$npx -y skills add pymc-labs/python-analytics-skills --skill prior-elicitationInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/pymc-labs/python-analytics-skills" --skill "pymc-labs/python-analytics-skills/prior-elicitation"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/pymc-labs/python-analytics-skills" that are relevant to the current task. Run `npx skills add "https://github.com/pymc-labs/python-analytics-skills"` and select the relevant skills, then follow their instructions.
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