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From compound-science
Runs phased structural estimation pipeline (data validation → identification → estimation → standard errors → robustness → results) via /workflows:work with empirical-playbook context.
How this skill is triggered — by the user, by Claude, or both
Slash command
/compound-science:estimateThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This command routes to `/workflows:work` with estimation pipeline context.
This command routes to /workflows:work with estimation pipeline context.
Before starting, load the empirical-playbook skill and its references/estimation-pipeline.md for the phased estimation workflow (data validation → identification → estimation → standard errors → robustness → results).
Now run /workflows:work with the estimation pipeline framing. Follow the phase gates in estimation-pipeline.md — do not proceed to the next phase until the current phase's gate conditions are met.
npx claudepluginhub james-traina/science-plugins --plugin compound-scienceDesigns and executes Monte Carlo simulations to evaluate finite-sample properties of statistical estimators including bias, RMSE, coverage, size, and power.
Estimates effort, cost, duration, and complexity for projects, features, and tasks using analogous, parametric, three-point, and expert judgment methods. For planning and forecasting.
Decomposes complex unknowns into estimable components for rapid order-of-magnitude estimates with bounded uncertainty. Useful for market sizing, resource planning, feasibility checks.