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Estimate

Skill brycewang-stanford/Auto-Empirical-Research-Skills/skills/11-James-Traina-compound-science/skills/estimate

Run a structural estimation pipeline — routes to /workflows:work with estimation context from empirical-playbookFrom its SKILL.md

Install
npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill estimate

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

SKILL.md

0.7 KB, 104 tokens by cl100k_base, as published. Nobody here has run it

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.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 326,144. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.